* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 40073 tid 40172 thread 1 bound to OS proc set {1}
OMP: pid 40073 tid 40173 thread 2 bound to OS proc set {2}
OMP: pid 40073 tid 40174 thread 3 bound to OS proc set {3}
OMP: pid 40073 tid 40180 thread 9 bound to OS proc set {9}
OMP: pid 40073 tid 40176 thread 5 bound to OS proc set {5}
OMP: pid 40073 tid 40175 thread 4 bound to OS proc set {4}
OMP: pid 40073 tid 40073 thread 0 bound to OS proc set {0}
OMP: pid 40073 tid 40177 thread 6 bound to OS proc set {6}
OMP: pid 40073 tid 40179 thread 8 bound to OS proc set {8}
OMP: pid 40073 tid 40178 thread 7 bound to OS proc set {7}
OMP: pid 40073 tid 40184 thread 13 bound to OS proc set {13}
OMP: pid 40073 tid 40181 thread 10 bound to OS proc set {10}
OMP: pid 40073 tid 40182 thread 11 bound to OS proc set {11}
OMP: pid 40073 tid 40183 thread 12 bound to OS proc set {12}
OMP: pid 40073 tid 40185 thread 14 bound to OS proc set {14}
OMP: pid 40073 tid 40188 thread 17 bound to OS proc set {17}
OMP: pid 40073 tid 40189 thread 18 bound to OS proc set {18}
OMP: pid 40073 tid 40204 thread 33 bound to OS proc set {33}
OMP: pid 40073 tid 40186 thread 15 bound to OS proc set {15}
OMP: pid 40073 tid 40205 thread 34 bound to OS proc set {34}
OMP: pid 40073 tid 40190 thread 19 bound to OS proc set {19}
OMP: pid 40073 tid 40206 thread 35 bound to OS proc set {35}
OMP: pid 40073 tid 40187 thread 16 bound to OS proc set {16}
OMP: pid 40073 tid 40203 thread 32 bound to OS proc set {32}
OMP: pid 40073 tid 40192 thread 21 bound to OS proc set {21}
OMP: pid 40073 tid 40220 thread 49 bound to OS proc set {49}
OMP: pid 40073 tid 40196 thread 25 bound to OS proc set {25}
OMP: pid 40073 tid 40191 thread 20 bound to OS proc set {20}
OMP: pid 40073 tid 40193 thread 22 bound to OS proc set {22}
OMP: pid 40073 tid 40195 thread 24 bound to OS proc set {24}
OMP: pid 40073 tid 40208 thread 37 bound to OS proc set {37}
OMP: pid 40073 tid 40197 thread 26 bound to OS proc set {26}
OMP: pid 40073 tid 40207 thread 36 bound to OS proc set {36}
OMP: pid 40073 tid 40200 thread 29 bound to OS proc set {29}
OMP: pid 40073 tid 40194 thread 23 bound to OS proc set {23}
OMP: pid 40073 tid 40222 thread 51 bound to OS proc set {51}
OMP: pid 40073 tid 40198 thread 27 bound to OS proc set {27}
OMP: pid 40073 tid 40236 thread 65 bound to OS proc set {65}
OMP: pid 40073 tid 40199 thread 28 bound to OS proc set {28}
OMP: pid 40073 tid 40201 thread 30 bound to OS proc set {30}
OMP: pid 40073 tid 40237 thread 66 bound to OS proc set {66}
OMP: pid 40073 tid 40202 thread 31 bound to OS proc set {31}
OMP: pid 40073 tid 40221 thread 50 bound to OS proc set {50}
OMP: pid 40073 tid 40211 thread 40 bound to OS proc set {40}
OMP: pid 40073 tid 40213 thread 42 bound to OS proc set {42}
OMP: pid 40073 tid 40212 thread 41 bound to OS proc set {41}
OMP: pid 40073 tid 40224 thread 53 bound to OS proc set {53}
OMP: pid 40073 tid 40210 thread 39 bound to OS proc set {39}
OMP: pid 40073 tid 40219 thread 48 bound to OS proc set {48}
OMP: pid 40073 tid 40209 thread 38 bound to OS proc set {38}
OMP: pid 40073 tid 40238 thread 67 bound to OS proc set {67}
OMP: pid 40073 tid 40216 thread 45 bound to OS proc set {45}
OMP: pid 40073 tid 40225 thread 54 bound to OS proc set {54}
OMP: pid 40073 tid 40223 thread 52 bound to OS proc set {52}
OMP: pid 40073 tid 40217 thread 46 bound to OS proc set {46}
OMP: pid 40073 tid 40229 thread 58 bound to OS proc set {58}
OMP: pid 40073 tid 40226 thread 55 bound to OS proc set {55}
OMP: pid 40073 tid 40228 thread 57 bound to OS proc set {57}
OMP: pid 40073 tid 40244 thread 73 bound to OS proc set {73}
OMP: pid 40073 tid 40241 thread 70 bound to OS proc set {70}
OMP: pid 40073 tid 40215 thread 44 bound to OS proc set {44}
OMP: pid 40073 tid 40243 thread 72 bound to OS proc set {72}
OMP: pid 40073 tid 40214 thread 43 bound to OS proc set {43}
OMP: pid 40073 tid 40230 thread 59 bound to OS proc set {59}
OMP: pid 40073 tid 40218 thread 47 bound to OS proc set {47}
OMP: pid 40073 tid 40248 thread 77 bound to OS proc set {77}
OMP: pid 40073 tid 40252 thread 81 bound to OS proc set {81}
OMP: pid 40073 tid 40239 thread 68 bound to OS proc set {68}
OMP: pid 40073 tid 40245 thread 74 bound to OS proc set {74}
OMP: pid 40073 tid 40242 thread 71 bound to OS proc set {71}
OMP: pid 40073 tid 40235 thread 64 bound to OS proc set {64}
OMP: pid 40073 tid 40232 thread 61 bound to OS proc set {61}
OMP: pid 40073 tid 40247 thread 76 bound to OS proc set {76}
OMP: pid 40073 tid 40240 thread 69 bound to OS proc set {69}
OMP: pid 40073 tid 40227 thread 56 bound to OS proc set {56}
OMP: pid 40073 tid 40233 thread 62 bound to OS proc set {62}
OMP: pid 40073 tid 40231 thread 60 bound to OS proc set {60}
OMP: pid 40073 tid 40249 thread 78 bound to OS proc set {78}
OMP: pid 40073 tid 40246 thread 75 bound to OS proc set {75}
OMP: pid 40073 tid 40253 thread 82 bound to OS proc set {82}
OMP: pid 40073 tid 40234 thread 63 bound to OS proc set {63}
OMP: pid 40073 tid 40254 thread 83 bound to OS proc set {83}
OMP: pid 40073 tid 40251 thread 80 bound to OS proc set {80}
OMP: pid 40073 tid 40250 thread 79 bound to OS proc set {79}
OMP: pid 40073 tid 40263 thread 92 bound to OS proc set {92}
OMP: pid 40073 tid 40255 thread 84 bound to OS proc set {84}
OMP: pid 40073 tid 40256 thread 85 bound to OS proc set {85}
OMP: pid 40073 tid 40259 thread 88 bound to OS proc set {88}
OMP: pid 40073 tid 40257 thread 86 bound to OS proc set {86}
OMP: pid 40073 tid 40260 thread 89 bound to OS proc set {89}
OMP: pid 40073 tid 40258 thread 87 bound to OS proc set {87}
OMP: pid 40073 tid 40265 thread 94 bound to OS proc set {94}
OMP: pid 40073 tid 40261 thread 90 bound to OS proc set {90}
OMP: pid 40073 tid 40262 thread 91 bound to OS proc set {91}
OMP: pid 40073 tid 40264 thread 93 bound to OS proc set {93}
OMP: pid 40073 tid 40266 thread 95 bound to OS proc set {95}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_0 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 40349 tid 40448 thread 1 bound to OS proc set {1}
OMP: pid 40349 tid 40449 thread 2 bound to OS proc set {2}
OMP: pid 40349 tid 40450 thread 3 bound to OS proc set {3}
OMP: pid 40349 tid 40349 thread 0 bound to OS proc set {0}
OMP: pid 40349 tid 40451 thread 4 bound to OS proc set {4}
OMP: pid 40349 tid 40453 thread 6 bound to OS proc set {6}
OMP: pid 40349 tid 40452 thread 5 bound to OS proc set {5}
OMP: pid 40349 tid 40456 thread 9 bound to OS proc set {9}
OMP: pid 40349 tid 40461 thread 14 bound to OS proc set {14}
OMP: pid 40349 tid 40454 thread 7 bound to OS proc set {7}
OMP: pid 40349 tid 40459 thread 12 bound to OS proc set {12}
OMP: pid 40349 tid 40457 thread 10 bound to OS proc set {10}
OMP: pid 40349 tid 40460 thread 13 bound to OS proc set {13}
OMP: pid 40349 tid 40462 thread 15 bound to OS proc set {15}
OMP: pid 40349 tid 40480 thread 33 bound to OS proc set {33}
OMP: pid 40349 tid 40464 thread 17 bound to OS proc set {17}
OMP: pid 40349 tid 40466 thread 19 bound to OS proc set {19}
OMP: pid 40349 tid 40458 thread 11 bound to OS proc set {11}
OMP: pid 40349 tid 40481 thread 34 bound to OS proc set {34}
OMP: pid 40349 tid 40496 thread 49 bound to OS proc set {49}
OMP: pid 40349 tid 40465 thread 18 bound to OS proc set {18}
OMP: pid 40349 tid 40463 thread 16 bound to OS proc set {16}
OMP: pid 40349 tid 40497 thread 50 bound to OS proc set {50}
OMP: pid 40349 tid 40512 thread 65 bound to OS proc set {65}
OMP: pid 40349 tid 40482 thread 35 bound to OS proc set {35}
OMP: pid 40349 tid 40467 thread 20 bound to OS proc set {20}
OMP: pid 40349 tid 40468 thread 21 bound to OS proc set {21}
OMP: pid 40349 tid 40469 thread 22 bound to OS proc set {22}
OMP: pid 40349 tid 40513 thread 66 bound to OS proc set {66}
OMP: pid 40349 tid 40484 thread 37 bound to OS proc set {37}
OMP: pid 40349 tid 40471 thread 24 bound to OS proc set {24}
OMP: pid 40349 tid 40479 thread 32 bound to OS proc set {32}
OMP: pid 40349 tid 40473 thread 26 bound to OS proc set {26}
OMP: pid 40349 tid 40488 thread 41 bound to OS proc set {41}
OMP: pid 40349 tid 40472 thread 25 bound to OS proc set {25}
OMP: pid 40349 tid 40498 thread 51 bound to OS proc set {51}
OMP: pid 40349 tid 40470 thread 23 bound to OS proc set {23}
OMP: pid 40349 tid 40485 thread 38 bound to OS proc set {38}
OMP: pid 40349 tid 40477 thread 30 bound to OS proc set {30}
OMP: pid 40349 tid 40474 thread 27 bound to OS proc set {27}
OMP: pid 40349 tid 40476 thread 29 bound to OS proc set {29}
OMP: pid 40349 tid 40500 thread 53 bound to OS proc set {53}
OMP: pid 40349 tid 40514 thread 67 bound to OS proc set {67}
OMP: pid 40349 tid 40455 thread 8 bound to OS proc set {8}
OMP: pid 40349 tid 40504 thread 57 bound to OS proc set {57}
OMP: pid 40349 tid 40489 thread 42 bound to OS proc set {42}
OMP: pid 40349 tid 40487 thread 40 bound to OS proc set {40}
OMP: pid 40349 tid 40483 thread 36 bound to OS proc set {36}
OMP: pid 40349 tid 40511 thread 64 bound to OS proc set {64}
OMP: pid 40349 tid 40499 thread 52 bound to OS proc set {52}
OMP: pid 40349 tid 40524 thread 77 bound to OS proc set {77}
OMP: pid 40349 tid 40486 thread 39 bound to OS proc set {39}
OMP: pid 40349 tid 40491 thread 44 bound to OS proc set {44}
OMP: pid 40349 tid 40516 thread 69 bound to OS proc set {69}
OMP: pid 40349 tid 40490 thread 43 bound to OS proc set {43}
OMP: pid 40349 tid 40478 thread 31 bound to OS proc set {31}
OMP: pid 40349 tid 40503 thread 56 bound to OS proc set {56}
OMP: pid 40349 tid 40520 thread 73 bound to OS proc set {73}
OMP: pid 40349 tid 40506 thread 59 bound to OS proc set {59}
OMP: pid 40349 tid 40508 thread 61 bound to OS proc set {61}
OMP: pid 40349 tid 40515 thread 68 bound to OS proc set {68}
OMP: pid 40349 tid 40518 thread 71 bound to OS proc set {71}
OMP: pid 40349 tid 40521 thread 74 bound to OS proc set {74}
OMP: pid 40349 tid 40523 thread 76 bound to OS proc set {76}
OMP: pid 40349 tid 40494 thread 47 bound to OS proc set {47}
OMP: pid 40349 tid 40529 thread 82 bound to OS proc set {82}
OMP: pid 40349 tid 40517 thread 70 bound to OS proc set {70}
OMP: pid 40349 tid 40502 thread 55 bound to OS proc set {55}
OMP: pid 40349 tid 40528 thread 81 bound to OS proc set {81}
OMP: pid 40349 tid 40505 thread 58 bound to OS proc set {58}
OMP: pid 40349 tid 40475 thread 28 bound to OS proc set {28}
OMP: pid 40349 tid 40510 thread 63 bound to OS proc set {63}
OMP: pid 40349 tid 40492 thread 45 bound to OS proc set {45}
OMP: pid 40349 tid 40525 thread 78 bound to OS proc set {78}
OMP: pid 40349 tid 40495 thread 48 bound to OS proc set {48}
OMP: pid 40349 tid 40507 thread 60 bound to OS proc set {60}
OMP: pid 40349 tid 40509 thread 62 bound to OS proc set {62}
OMP: pid 40349 tid 40519 thread 72 bound to OS proc set {72}
OMP: pid 40349 tid 40530 thread 83 bound to OS proc set {83}
OMP: pid 40349 tid 40526 thread 79 bound to OS proc set {79}
OMP: pid 40349 tid 40527 thread 80 bound to OS proc set {80}
OMP: pid 40349 tid 40501 thread 54 bound to OS proc set {54}
OMP: pid 40349 tid 40532 thread 85 bound to OS proc set {85}
OMP: pid 40349 tid 40536 thread 89 bound to OS proc set {89}
OMP: pid 40349 tid 40493 thread 46 bound to OS proc set {46}
OMP: pid 40349 tid 40533 thread 86 bound to OS proc set {86}
OMP: pid 40349 tid 40522 thread 75 bound to OS proc set {75}
OMP: pid 40349 tid 40531 thread 84 bound to OS proc set {84}
OMP: pid 40349 tid 40540 thread 93 bound to OS proc set {93}
OMP: pid 40349 tid 40537 thread 90 bound to OS proc set {90}
OMP: pid 40349 tid 40539 thread 92 bound to OS proc set {92}
OMP: pid 40349 tid 40534 thread 87 bound to OS proc set {87}
OMP: pid 40349 tid 40538 thread 91 bound to OS proc set {91}
OMP: pid 40349 tid 40541 thread 94 bound to OS proc set {94}
OMP: pid 40349 tid 40535 thread 88 bound to OS proc set {88}
OMP: pid 40349 tid 40542 thread 95 bound to OS proc set {95}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_1 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 40564 tid 40665 thread 3 bound to OS proc set {3}
OMP: pid 40564 tid 40663 thread 1 bound to OS proc set {1}
OMP: pid 40564 tid 40664 thread 2 bound to OS proc set {2}
OMP: pid 40564 tid 40666 thread 4 bound to OS proc set {4}
OMP: pid 40564 tid 40667 thread 5 bound to OS proc set {5}
OMP: pid 40564 tid 40671 thread 9 bound to OS proc set {9}
OMP: pid 40564 tid 40564 thread 0 bound to OS proc set {0}
OMP: pid 40564 tid 40668 thread 6 bound to OS proc set {6}
OMP: pid 40564 tid 40669 thread 7 bound to OS proc set {7}
OMP: pid 40564 tid 40675 thread 13 bound to OS proc set {13}
OMP: pid 40564 tid 40670 thread 8 bound to OS proc set {8}
OMP: pid 40564 tid 40674 thread 12 bound to OS proc set {12}
OMP: pid 40564 tid 40672 thread 10 bound to OS proc set {10}
OMP: pid 40564 tid 40676 thread 14 bound to OS proc set {14}
OMP: pid 40564 tid 40679 thread 17 bound to OS proc set {17}
OMP: pid 40564 tid 40677 thread 15 bound to OS proc set {15}
OMP: pid 40564 tid 40680 thread 18 bound to OS proc set {18}
OMP: pid 40564 tid 40673 thread 11 bound to OS proc set {11}
OMP: pid 40564 tid 40695 thread 33 bound to OS proc set {33}
OMP: pid 40564 tid 40681 thread 19 bound to OS proc set {19}
OMP: pid 40564 tid 40696 thread 34 bound to OS proc set {34}
OMP: pid 40564 tid 40711 thread 49 bound to OS proc set {49}
OMP: pid 40564 tid 40697 thread 35 bound to OS proc set {35}
OMP: pid 40564 tid 40712 thread 50 bound to OS proc set {50}
OMP: pid 40564 tid 40678 thread 16 bound to OS proc set {16}
OMP: pid 40564 tid 40713 thread 51 bound to OS proc set {51}
OMP: pid 40564 tid 40727 thread 65 bound to OS proc set {65}
OMP: pid 40564 tid 40694 thread 32 bound to OS proc set {32}
OMP: pid 40564 tid 40683 thread 21 bound to OS proc set {21}
OMP: pid 40564 tid 40728 thread 66 bound to OS proc set {66}
OMP: pid 40564 tid 40682 thread 20 bound to OS proc set {20}
OMP: pid 40564 tid 40684 thread 22 bound to OS proc set {22}
OMP: pid 40564 tid 40710 thread 48 bound to OS proc set {48}
OMP: pid 40564 tid 40699 thread 37 bound to OS proc set {37}
OMP: pid 40564 tid 40687 thread 25 bound to OS proc set {25}
OMP: pid 40564 tid 40729 thread 67 bound to OS proc set {67}
OMP: pid 40564 tid 40686 thread 24 bound to OS proc set {24}
OMP: pid 40564 tid 40691 thread 29 bound to OS proc set {29}
OMP: pid 40564 tid 40685 thread 23 bound to OS proc set {23}
OMP: pid 40564 tid 40688 thread 26 bound to OS proc set {26}
OMP: pid 40564 tid 40700 thread 38 bound to OS proc set {38}
OMP: pid 40564 tid 40698 thread 36 bound to OS proc set {36}
OMP: pid 40564 tid 40690 thread 28 bound to OS proc set {28}
OMP: pid 40564 tid 40689 thread 27 bound to OS proc set {27}
OMP: pid 40564 tid 40692 thread 30 bound to OS proc set {30}
OMP: pid 40564 tid 40701 thread 39 bound to OS proc set {39}
OMP: pid 40564 tid 40707 thread 45 bound to OS proc set {45}
OMP: pid 40564 tid 40693 thread 31 bound to OS proc set {31}
OMP: pid 40564 tid 40726 thread 64 bound to OS proc set {64}
OMP: pid 40564 tid 40706 thread 44 bound to OS proc set {44}
OMP: pid 40564 tid 40719 thread 57 bound to OS proc set {57}
OMP: pid 40564 tid 40705 thread 43 bound to OS proc set {43}
OMP: pid 40564 tid 40708 thread 46 bound to OS proc set {46}
OMP: pid 40564 tid 40709 thread 47 bound to OS proc set {47}
OMP: pid 40564 tid 40718 thread 56 bound to OS proc set {56}
OMP: pid 40564 tid 40723 thread 61 bound to OS proc set {61}
OMP: pid 40564 tid 40720 thread 58 bound to OS proc set {58}
OMP: pid 40564 tid 40717 thread 55 bound to OS proc set {55}
OMP: pid 40564 tid 40722 thread 60 bound to OS proc set {60}
OMP: pid 40564 tid 40730 thread 68 bound to OS proc set {68}
OMP: pid 40564 tid 40702 thread 40 bound to OS proc set {40}
OMP: pid 40564 tid 40724 thread 62 bound to OS proc set {62}
OMP: pid 40564 tid 40721 thread 59 bound to OS proc set {59}
OMP: pid 40564 tid 40703 thread 41 bound to OS proc set {41}
OMP: pid 40564 tid 40725 thread 63 bound to OS proc set {63}
OMP: pid 40564 tid 40715 thread 53 bound to OS proc set {53}
OMP: pid 40564 tid 40732 thread 70 bound to OS proc set {70}
OMP: pid 40564 tid 40733 thread 71 bound to OS proc set {71}
OMP: pid 40564 tid 40739 thread 77 bound to OS proc set {77}
OMP: pid 40564 tid 40734 thread 72 bound to OS proc set {72}
OMP: pid 40564 tid 40740 thread 78 bound to OS proc set {78}
OMP: pid 40564 tid 40736 thread 74 bound to OS proc set {74}
OMP: pid 40564 tid 40735 thread 73 bound to OS proc set {73}
OMP: pid 40564 tid 40738 thread 76 bound to OS proc set {76}
OMP: pid 40564 tid 40714 thread 52 bound to OS proc set {52}
OMP: pid 40564 tid 40716 thread 54 bound to OS proc set {54}
OMP: pid 40564 tid 40743 thread 81 bound to OS proc set {81}
OMP: pid 40564 tid 40737 thread 75 bound to OS proc set {75}
OMP: pid 40564 tid 40741 thread 79 bound to OS proc set {79}
OMP: pid 40564 tid 40731 thread 69 bound to OS proc set {69}
OMP: pid 40564 tid 40745 thread 83 bound to OS proc set {83}
OMP: pid 40564 tid 40746 thread 84 bound to OS proc set {84}
OMP: pid 40564 tid 40751 thread 89 bound to OS proc set {89}
OMP: pid 40564 tid 40747 thread 85 bound to OS proc set {85}
OMP: pid 40564 tid 40744 thread 82 bound to OS proc set {82}
OMP: pid 40564 tid 40752 thread 90 bound to OS proc set {90}
OMP: pid 40564 tid 40749 thread 87 bound to OS proc set {87}
OMP: pid 40564 tid 40753 thread 91 bound to OS proc set {91}
OMP: pid 40564 tid 40754 thread 92 bound to OS proc set {92}
OMP: pid 40564 tid 40750 thread 88 bound to OS proc set {88}
OMP: pid 40564 tid 40755 thread 93 bound to OS proc set {93}
OMP: pid 40564 tid 40704 thread 42 bound to OS proc set {42}
OMP: pid 40564 tid 40748 thread 86 bound to OS proc set {86}
OMP: pid 40564 tid 40756 thread 94 bound to OS proc set {94}
OMP: pid 40564 tid 40757 thread 95 bound to OS proc set {95}
OMP: pid 40564 tid 40742 thread 80 bound to OS proc set {80}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_2 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 40781 tid 40882 thread 3 bound to OS proc set {3}
OMP: pid 40781 tid 40881 thread 2 bound to OS proc set {2}
OMP: pid 40781 tid 40880 thread 1 bound to OS proc set {1}
OMP: pid 40781 tid 40883 thread 4 bound to OS proc set {4}
OMP: pid 40781 tid 40884 thread 5 bound to OS proc set {5}
OMP: pid 40781 tid 40888 thread 9 bound to OS proc set {9}
OMP: pid 40781 tid 40885 thread 6 bound to OS proc set {6}
OMP: pid 40781 tid 40781 thread 0 bound to OS proc set {0}
OMP: pid 40781 tid 40887 thread 8 bound to OS proc set {8}
OMP: pid 40781 tid 40892 thread 13 bound to OS proc set {13}
OMP: pid 40781 tid 40886 thread 7 bound to OS proc set {7}
OMP: pid 40781 tid 40891 thread 12 bound to OS proc set {12}
OMP: pid 40781 tid 40896 thread 17 bound to OS proc set {17}
OMP: pid 40781 tid 40889 thread 10 bound to OS proc set {10}
OMP: pid 40781 tid 40893 thread 14 bound to OS proc set {14}
OMP: pid 40781 tid 40890 thread 11 bound to OS proc set {11}
OMP: pid 40781 tid 40894 thread 15 bound to OS proc set {15}
OMP: pid 40781 tid 40912 thread 33 bound to OS proc set {33}
OMP: pid 40781 tid 40897 thread 18 bound to OS proc set {18}
OMP: pid 40781 tid 40898 thread 19 bound to OS proc set {19}
OMP: pid 40781 tid 40913 thread 34 bound to OS proc set {34}
OMP: pid 40781 tid 40928 thread 49 bound to OS proc set {49}
OMP: pid 40781 tid 40914 thread 35 bound to OS proc set {35}
OMP: pid 40781 tid 40895 thread 16 bound to OS proc set {16}
OMP: pid 40781 tid 40929 thread 50 bound to OS proc set {50}
OMP: pid 40781 tid 40911 thread 32 bound to OS proc set {32}
OMP: pid 40781 tid 40930 thread 51 bound to OS proc set {51}
OMP: pid 40781 tid 40904 thread 25 bound to OS proc set {25}
OMP: pid 40781 tid 40901 thread 22 bound to OS proc set {22}
OMP: pid 40781 tid 40908 thread 29 bound to OS proc set {29}
OMP: pid 40781 tid 40927 thread 48 bound to OS proc set {48}
OMP: pid 40781 tid 40900 thread 21 bound to OS proc set {21}
OMP: pid 40781 tid 40905 thread 26 bound to OS proc set {26}
OMP: pid 40781 tid 40916 thread 37 bound to OS proc set {37}
OMP: pid 40781 tid 40902 thread 23 bound to OS proc set {23}
OMP: pid 40781 tid 40903 thread 24 bound to OS proc set {24}
OMP: pid 40781 tid 40899 thread 20 bound to OS proc set {20}
OMP: pid 40781 tid 40915 thread 36 bound to OS proc set {36}
OMP: pid 40781 tid 40907 thread 28 bound to OS proc set {28}
OMP: pid 40781 tid 40909 thread 30 bound to OS proc set {30}
OMP: pid 40781 tid 40920 thread 41 bound to OS proc set {41}
OMP: pid 40781 tid 40917 thread 38 bound to OS proc set {38}
OMP: pid 40781 tid 40906 thread 27 bound to OS proc set {27}
OMP: pid 40781 tid 40919 thread 40 bound to OS proc set {40}
OMP: pid 40781 tid 40918 thread 39 bound to OS proc set {39}
OMP: pid 40781 tid 40921 thread 42 bound to OS proc set {42}
OMP: pid 40781 tid 40924 thread 45 bound to OS proc set {45}
OMP: pid 40781 tid 40944 thread 65 bound to OS proc set {65}
OMP: pid 40781 tid 40910 thread 31 bound to OS proc set {31}
OMP: pid 40781 tid 40925 thread 46 bound to OS proc set {46}
OMP: pid 40781 tid 40923 thread 44 bound to OS proc set {44}
OMP: pid 40781 tid 40926 thread 47 bound to OS proc set {47}
OMP: pid 40781 tid 40945 thread 66 bound to OS proc set {66}
OMP: pid 40781 tid 40922 thread 43 bound to OS proc set {43}
OMP: pid 40781 tid 40932 thread 53 bound to OS proc set {53}
OMP: pid 40781 tid 40946 thread 67 bound to OS proc set {67}
OMP: pid 40781 tid 40940 thread 61 bound to OS proc set {61}
OMP: pid 40781 tid 40943 thread 64 bound to OS proc set {64}
OMP: pid 40781 tid 40931 thread 52 bound to OS proc set {52}
OMP: pid 40781 tid 40952 thread 73 bound to OS proc set {73}
OMP: pid 40781 tid 40941 thread 62 bound to OS proc set {62}
OMP: pid 40781 tid 40956 thread 77 bound to OS proc set {77}
OMP: pid 40781 tid 40947 thread 68 bound to OS proc set {68}
OMP: pid 40781 tid 40951 thread 72 bound to OS proc set {72}
OMP: pid 40781 tid 40939 thread 60 bound to OS proc set {60}
OMP: pid 40781 tid 40938 thread 59 bound to OS proc set {59}
OMP: pid 40781 tid 40942 thread 63 bound to OS proc set {63}
OMP: pid 40781 tid 40949 thread 70 bound to OS proc set {70}
OMP: pid 40781 tid 40935 thread 56 bound to OS proc set {56}
OMP: pid 40781 tid 40934 thread 55 bound to OS proc set {55}
OMP: pid 40781 tid 40950 thread 71 bound to OS proc set {71}
OMP: pid 40781 tid 40953 thread 74 bound to OS proc set {74}
OMP: pid 40781 tid 40936 thread 57 bound to OS proc set {57}
OMP: pid 40781 tid 40957 thread 78 bound to OS proc set {78}
OMP: pid 40781 tid 40933 thread 54 bound to OS proc set {54}
OMP: pid 40781 tid 40948 thread 69 bound to OS proc set {69}
OMP: pid 40781 tid 40954 thread 75 bound to OS proc set {75}
OMP: pid 40781 tid 40955 thread 76 bound to OS proc set {76}
OMP: pid 40781 tid 40960 thread 81 bound to OS proc set {81}
OMP: pid 40781 tid 40937 thread 58 bound to OS proc set {58}
OMP: pid 40781 tid 40958 thread 79 bound to OS proc set {79}
OMP: pid 40781 tid 40961 thread 82 bound to OS proc set {82}
OMP: pid 40781 tid 40962 thread 83 bound to OS proc set {83}
OMP: pid 40781 tid 40959 thread 80 bound to OS proc set {80}
OMP: pid 40781 tid 40972 thread 93 bound to OS proc set {93}
OMP: pid 40781 tid 40967 thread 88 bound to OS proc set {88}
OMP: pid 40781 tid 40964 thread 85 bound to OS proc set {85}
OMP: pid 40781 tid 40973 thread 94 bound to OS proc set {94}
OMP: pid 40781 tid 40970 thread 91 bound to OS proc set {91}
OMP: pid 40781 tid 40963 thread 84 bound to OS proc set {84}
OMP: pid 40781 tid 40968 thread 89 bound to OS proc set {89}
OMP: pid 40781 tid 40974 thread 95 bound to OS proc set {95}
OMP: pid 40781 tid 40969 thread 90 bound to OS proc set {90}
OMP: pid 40781 tid 40971 thread 92 bound to OS proc set {92}
OMP: pid 40781 tid 40966 thread 87 bound to OS proc set {87}
OMP: pid 40781 tid 40965 thread 86 bound to OS proc set {86}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_3 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 41056 tid 41155 thread 1 bound to OS proc set {1}
OMP: pid 41056 tid 41156 thread 2 bound to OS proc set {2}
OMP: pid 41056 tid 41157 thread 3 bound to OS proc set {3}
OMP: pid 41056 tid 41163 thread 9 bound to OS proc set {9}
OMP: pid 41056 tid 41159 thread 5 bound to OS proc set {5}
OMP: pid 41056 tid 41158 thread 4 bound to OS proc set {4}
OMP: pid 41056 tid 41056 thread 0 bound to OS proc set {0}
OMP: pid 41056 tid 41160 thread 6 bound to OS proc set {6}
OMP: pid 41056 tid 41167 thread 13 bound to OS proc set {13}
OMP: pid 41056 tid 41166 thread 12 bound to OS proc set {12}
OMP: pid 41056 tid 41161 thread 7 bound to OS proc set {7}
OMP: pid 41056 tid 41162 thread 8 bound to OS proc set {8}
OMP: pid 41056 tid 41168 thread 14 bound to OS proc set {14}
OMP: pid 41056 tid 41164 thread 10 bound to OS proc set {10}
OMP: pid 41056 tid 41171 thread 17 bound to OS proc set {17}
OMP: pid 41056 tid 41165 thread 11 bound to OS proc set {11}
OMP: pid 41056 tid 41172 thread 18 bound to OS proc set {18}
OMP: pid 41056 tid 41169 thread 15 bound to OS proc set {15}
OMP: pid 41056 tid 41187 thread 33 bound to OS proc set {33}
OMP: pid 41056 tid 41173 thread 19 bound to OS proc set {19}
OMP: pid 41056 tid 41188 thread 34 bound to OS proc set {34}
OMP: pid 41056 tid 41203 thread 49 bound to OS proc set {49}
OMP: pid 41056 tid 41170 thread 16 bound to OS proc set {16}
OMP: pid 41056 tid 41189 thread 35 bound to OS proc set {35}
OMP: pid 41056 tid 41204 thread 50 bound to OS proc set {50}
OMP: pid 41056 tid 41219 thread 65 bound to OS proc set {65}
OMP: pid 41056 tid 41186 thread 32 bound to OS proc set {32}
OMP: pid 41056 tid 41205 thread 51 bound to OS proc set {51}
OMP: pid 41056 tid 41175 thread 21 bound to OS proc set {21}
OMP: pid 41056 tid 41220 thread 66 bound to OS proc set {66}
OMP: pid 41056 tid 41174 thread 20 bound to OS proc set {20}
OMP: pid 41056 tid 41179 thread 25 bound to OS proc set {25}
OMP: pid 41056 tid 41221 thread 67 bound to OS proc set {67}
OMP: pid 41056 tid 41183 thread 29 bound to OS proc set {29}
OMP: pid 41056 tid 41176 thread 22 bound to OS proc set {22}
OMP: pid 41056 tid 41191 thread 37 bound to OS proc set {37}
OMP: pid 41056 tid 41202 thread 48 bound to OS proc set {48}
OMP: pid 41056 tid 41178 thread 24 bound to OS proc set {24}
OMP: pid 41056 tid 41182 thread 28 bound to OS proc set {28}
OMP: pid 41056 tid 41190 thread 36 bound to OS proc set {36}
OMP: pid 41056 tid 41177 thread 23 bound to OS proc set {23}
OMP: pid 41056 tid 41184 thread 30 bound to OS proc set {30}
OMP: pid 41056 tid 41207 thread 53 bound to OS proc set {53}
OMP: pid 41056 tid 41180 thread 26 bound to OS proc set {26}
OMP: pid 41056 tid 41192 thread 38 bound to OS proc set {38}
OMP: pid 41056 tid 41181 thread 27 bound to OS proc set {27}
OMP: pid 41056 tid 41185 thread 31 bound to OS proc set {31}
OMP: pid 41056 tid 41193 thread 39 bound to OS proc set {39}
OMP: pid 41056 tid 41196 thread 42 bound to OS proc set {42}
OMP: pid 41056 tid 41194 thread 40 bound to OS proc set {40}
OMP: pid 41056 tid 41206 thread 52 bound to OS proc set {52}
OMP: pid 41056 tid 41199 thread 45 bound to OS proc set {45}
OMP: pid 41056 tid 41208 thread 54 bound to OS proc set {54}
OMP: pid 41056 tid 41197 thread 43 bound to OS proc set {43}
OMP: pid 41056 tid 41195 thread 41 bound to OS proc set {41}
OMP: pid 41056 tid 41209 thread 55 bound to OS proc set {55}
OMP: pid 41056 tid 41198 thread 44 bound to OS proc set {44}
OMP: pid 41056 tid 41218 thread 64 bound to OS proc set {64}
OMP: pid 41056 tid 41223 thread 69 bound to OS proc set {69}
OMP: pid 41056 tid 41200 thread 46 bound to OS proc set {46}
OMP: pid 41056 tid 41201 thread 47 bound to OS proc set {47}
OMP: pid 41056 tid 41211 thread 57 bound to OS proc set {57}
OMP: pid 41056 tid 41215 thread 61 bound to OS proc set {61}
OMP: pid 41056 tid 41224 thread 70 bound to OS proc set {70}
OMP: pid 41056 tid 41227 thread 73 bound to OS proc set {73}
OMP: pid 41056 tid 41210 thread 56 bound to OS proc set {56}
OMP: pid 41056 tid 41212 thread 58 bound to OS proc set {58}
OMP: pid 41056 tid 41216 thread 62 bound to OS proc set {62}
OMP: pid 41056 tid 41214 thread 60 bound to OS proc set {60}
OMP: pid 41056 tid 41231 thread 77 bound to OS proc set {77}
OMP: pid 41056 tid 41213 thread 59 bound to OS proc set {59}
OMP: pid 41056 tid 41222 thread 68 bound to OS proc set {68}
OMP: pid 41056 tid 41217 thread 63 bound to OS proc set {63}
OMP: pid 41056 tid 41228 thread 74 bound to OS proc set {74}
OMP: pid 41056 tid 41226 thread 72 bound to OS proc set {72}
OMP: pid 41056 tid 41229 thread 75 bound to OS proc set {75}
OMP: pid 41056 tid 41225 thread 71 bound to OS proc set {71}
OMP: pid 41056 tid 41235 thread 81 bound to OS proc set {81}
OMP: pid 41056 tid 41232 thread 78 bound to OS proc set {78}
OMP: pid 41056 tid 41230 thread 76 bound to OS proc set {76}
OMP: pid 41056 tid 41236 thread 82 bound to OS proc set {82}
OMP: pid 41056 tid 41233 thread 79 bound to OS proc set {79}
OMP: pid 41056 tid 41234 thread 80 bound to OS proc set {80}
OMP: pid 41056 tid 41237 thread 83 bound to OS proc set {83}
OMP: pid 41056 tid 41242 thread 88 bound to OS proc set {88}
OMP: pid 41056 tid 41246 thread 92 bound to OS proc set {92}
OMP: pid 41056 tid 41245 thread 91 bound to OS proc set {91}
OMP: pid 41056 tid 41243 thread 89 bound to OS proc set {89}
OMP: pid 41056 tid 41238 thread 84 bound to OS proc set {84}
OMP: pid 41056 tid 41244 thread 90 bound to OS proc set {90}
OMP: pid 41056 tid 41248 thread 94 bound to OS proc set {94}
OMP: pid 41056 tid 41240 thread 86 bound to OS proc set {86}
OMP: pid 41056 tid 41239 thread 85 bound to OS proc set {85}
OMP: pid 41056 tid 41249 thread 95 bound to OS proc set {95}
OMP: pid 41056 tid 41247 thread 93 bound to OS proc set {93}
OMP: pid 41056 tid 41241 thread 87 bound to OS proc set {87}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_4 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 41272 tid 41373 thread 3 bound to OS proc set {3}
OMP: pid 41272 tid 41375 thread 5 bound to OS proc set {5}
OMP: pid 41272 tid 41379 thread 9 bound to OS proc set {9}
OMP: pid 41272 tid 41376 thread 6 bound to OS proc set {6}
OMP: pid 41272 tid 41374 thread 4 bound to OS proc set {4}
OMP: pid 41272 tid 41272 thread 0 bound to OS proc set {0}
OMP: pid 41272 tid 41377 thread 7 bound to OS proc set {7}
OMP: pid 41272 tid 41383 thread 13 bound to OS proc set {13}
OMP: pid 41272 tid 41378 thread 8 bound to OS proc set {8}
OMP: pid 41272 tid 41380 thread 10 bound to OS proc set {10}
OMP: pid 41272 tid 41382 thread 12 bound to OS proc set {12}
OMP: pid 41272 tid 41387 thread 17 bound to OS proc set {17}
OMP: pid 41272 tid 41371 thread 1 bound to OS proc set {1}
OMP: pid 41272 tid 41384 thread 14 bound to OS proc set {14}
OMP: pid 41272 tid 41381 thread 11 bound to OS proc set {11}
OMP: pid 41272 tid 41372 thread 2 bound to OS proc set {2}
OMP: pid 41272 tid 41388 thread 18 bound to OS proc set {18}
OMP: pid 41272 tid 41385 thread 15 bound to OS proc set {15}
OMP: pid 41272 tid 41403 thread 33 bound to OS proc set {33}
OMP: pid 41272 tid 41389 thread 19 bound to OS proc set {19}
OMP: pid 41272 tid 41419 thread 49 bound to OS proc set {49}
OMP: pid 41272 tid 41404 thread 34 bound to OS proc set {34}
OMP: pid 41272 tid 41420 thread 50 bound to OS proc set {50}
OMP: pid 41272 tid 41405 thread 35 bound to OS proc set {35}
OMP: pid 41272 tid 41386 thread 16 bound to OS proc set {16}
OMP: pid 41272 tid 41421 thread 51 bound to OS proc set {51}
OMP: pid 41272 tid 41402 thread 32 bound to OS proc set {32}
OMP: pid 41272 tid 41435 thread 65 bound to OS proc set {65}
OMP: pid 41272 tid 41436 thread 66 bound to OS proc set {66}
OMP: pid 41272 tid 41390 thread 20 bound to OS proc set {20}
OMP: pid 41272 tid 41418 thread 48 bound to OS proc set {48}
OMP: pid 41272 tid 41392 thread 22 bound to OS proc set {22}
OMP: pid 41272 tid 41395 thread 25 bound to OS proc set {25}
OMP: pid 41272 tid 41391 thread 21 bound to OS proc set {21}
OMP: pid 41272 tid 41399 thread 29 bound to OS proc set {29}
OMP: pid 41272 tid 41407 thread 37 bound to OS proc set {37}
OMP: pid 41272 tid 41437 thread 67 bound to OS proc set {67}
OMP: pid 41272 tid 41394 thread 24 bound to OS proc set {24}
OMP: pid 41272 tid 41396 thread 26 bound to OS proc set {26}
OMP: pid 41272 tid 41393 thread 23 bound to OS proc set {23}
OMP: pid 41272 tid 41423 thread 53 bound to OS proc set {53}
OMP: pid 41272 tid 41406 thread 36 bound to OS proc set {36}
OMP: pid 41272 tid 41411 thread 41 bound to OS proc set {41}
OMP: pid 41272 tid 41398 thread 28 bound to OS proc set {28}
OMP: pid 41272 tid 41408 thread 38 bound to OS proc set {38}
OMP: pid 41272 tid 41400 thread 30 bound to OS proc set {30}
OMP: pid 41272 tid 41422 thread 52 bound to OS proc set {52}
OMP: pid 41272 tid 41415 thread 45 bound to OS proc set {45}
OMP: pid 41272 tid 41397 thread 27 bound to OS proc set {27}
OMP: pid 41272 tid 41409 thread 39 bound to OS proc set {39}
OMP: pid 41272 tid 41424 thread 54 bound to OS proc set {54}
OMP: pid 41272 tid 41401 thread 31 bound to OS proc set {31}
OMP: pid 41272 tid 41412 thread 42 bound to OS proc set {42}
OMP: pid 41272 tid 41410 thread 40 bound to OS proc set {40}
OMP: pid 41272 tid 41414 thread 44 bound to OS proc set {44}
OMP: pid 41272 tid 41416 thread 46 bound to OS proc set {46}
OMP: pid 41272 tid 41413 thread 43 bound to OS proc set {43}
OMP: pid 41272 tid 41427 thread 57 bound to OS proc set {57}
OMP: pid 41272 tid 41417 thread 47 bound to OS proc set {47}
OMP: pid 41272 tid 41439 thread 69 bound to OS proc set {69}
OMP: pid 41272 tid 41425 thread 55 bound to OS proc set {55}
OMP: pid 41272 tid 41426 thread 56 bound to OS proc set {56}
OMP: pid 41272 tid 41434 thread 64 bound to OS proc set {64}
OMP: pid 41272 tid 41428 thread 58 bound to OS proc set {58}
OMP: pid 41272 tid 41431 thread 61 bound to OS proc set {61}
OMP: pid 41272 tid 41438 thread 68 bound to OS proc set {68}
OMP: pid 41272 tid 41430 thread 60 bound to OS proc set {60}
OMP: pid 41272 tid 41440 thread 70 bound to OS proc set {70}
OMP: pid 41272 tid 41432 thread 62 bound to OS proc set {62}
OMP: pid 41272 tid 41443 thread 73 bound to OS proc set {73}
OMP: pid 41272 tid 41441 thread 71 bound to OS proc set {71}
OMP: pid 41272 tid 41429 thread 59 bound to OS proc set {59}
OMP: pid 41272 tid 41433 thread 63 bound to OS proc set {63}
OMP: pid 41272 tid 41447 thread 77 bound to OS proc set {77}
OMP: pid 41272 tid 41442 thread 72 bound to OS proc set {72}
OMP: pid 41272 tid 41444 thread 74 bound to OS proc set {74}
OMP: pid 41272 tid 41445 thread 75 bound to OS proc set {75}
OMP: pid 41272 tid 41451 thread 81 bound to OS proc set {81}
OMP: pid 41272 tid 41446 thread 76 bound to OS proc set {76}
OMP: pid 41272 tid 41449 thread 79 bound to OS proc set {79}
OMP: pid 41272 tid 41452 thread 82 bound to OS proc set {82}
OMP: pid 41272 tid 41453 thread 83 bound to OS proc set {83}
OMP: pid 41272 tid 41450 thread 80 bound to OS proc set {80}
OMP: pid 41272 tid 41448 thread 78 bound to OS proc set {78}
OMP: pid 41272 tid 41454 thread 84 bound to OS proc set {84}
OMP: pid 41272 tid 41459 thread 89 bound to OS proc set {89}
OMP: pid 41272 tid 41456 thread 86 bound to OS proc set {86}
OMP: pid 41272 tid 41464 thread 94 bound to OS proc set {94}
OMP: pid 41272 tid 41462 thread 92 bound to OS proc set {92}
OMP: pid 41272 tid 41457 thread 87 bound to OS proc set {87}
OMP: pid 41272 tid 41460 thread 90 bound to OS proc set {90}
OMP: pid 41272 tid 41465 thread 95 bound to OS proc set {95}
OMP: pid 41272 tid 41461 thread 91 bound to OS proc set {91}
OMP: pid 41272 tid 41458 thread 88 bound to OS proc set {88}
OMP: pid 41272 tid 41455 thread 85 bound to OS proc set {85}
OMP: pid 41272 tid 41463 thread 93 bound to OS proc set {93}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_5 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 41488 tid 41588 thread 2 bound to OS proc set {2}
OMP: pid 41488 tid 41589 thread 3 bound to OS proc set {3}
OMP: pid 41488 tid 41488 thread 0 bound to OS proc set {0}
OMP: pid 41488 tid 41591 thread 5 bound to OS proc set {5}
OMP: pid 41488 tid 41587 thread 1 bound to OS proc set {1}
OMP: pid 41488 tid 41592 thread 6 bound to OS proc set {6}
OMP: pid 41488 tid 41590 thread 4 bound to OS proc set {4}
OMP: pid 41488 tid 41595 thread 9 bound to OS proc set {9}
OMP: pid 41488 tid 41596 thread 10 bound to OS proc set {10}
OMP: pid 41488 tid 41598 thread 12 bound to OS proc set {12}
OMP: pid 41488 tid 41597 thread 11 bound to OS proc set {11}
OMP: pid 41488 tid 41593 thread 7 bound to OS proc set {7}
OMP: pid 41488 tid 41599 thread 13 bound to OS proc set {13}
OMP: pid 41488 tid 41600 thread 14 bound to OS proc set {14}
OMP: pid 41488 tid 41601 thread 15 bound to OS proc set {15}
OMP: pid 41488 tid 41605 thread 19 bound to OS proc set {19}
OMP: pid 41488 tid 41604 thread 18 bound to OS proc set {18}
OMP: pid 41488 tid 41594 thread 8 bound to OS proc set {8}
OMP: pid 41488 tid 41620 thread 34 bound to OS proc set {34}
OMP: pid 41488 tid 41603 thread 17 bound to OS proc set {17}
OMP: pid 41488 tid 41602 thread 16 bound to OS proc set {16}
OMP: pid 41488 tid 41621 thread 35 bound to OS proc set {35}
OMP: pid 41488 tid 41637 thread 51 bound to OS proc set {51}
OMP: pid 41488 tid 41619 thread 33 bound to OS proc set {33}
OMP: pid 41488 tid 41636 thread 50 bound to OS proc set {50}
OMP: pid 41488 tid 41608 thread 22 bound to OS proc set {22}
OMP: pid 41488 tid 41606 thread 20 bound to OS proc set {20}
OMP: pid 41488 tid 41635 thread 49 bound to OS proc set {49}
OMP: pid 41488 tid 41607 thread 21 bound to OS proc set {21}
OMP: pid 41488 tid 41612 thread 26 bound to OS proc set {26}
OMP: pid 41488 tid 41611 thread 25 bound to OS proc set {25}
OMP: pid 41488 tid 41610 thread 24 bound to OS proc set {24}
OMP: pid 41488 tid 41609 thread 23 bound to OS proc set {23}
OMP: pid 41488 tid 41653 thread 67 bound to OS proc set {67}
OMP: pid 41488 tid 41652 thread 66 bound to OS proc set {66}
OMP: pid 41488 tid 41615 thread 29 bound to OS proc set {29}
OMP: pid 41488 tid 41623 thread 37 bound to OS proc set {37}
OMP: pid 41488 tid 41614 thread 28 bound to OS proc set {28}
OMP: pid 41488 tid 41616 thread 30 bound to OS proc set {30}
OMP: pid 41488 tid 41613 thread 27 bound to OS proc set {27}
OMP: pid 41488 tid 41625 thread 39 bound to OS proc set {39}
OMP: pid 41488 tid 41626 thread 40 bound to OS proc set {40}
OMP: pid 41488 tid 41618 thread 32 bound to OS proc set {32}
OMP: pid 41488 tid 41639 thread 53 bound to OS proc set {53}
OMP: pid 41488 tid 41627 thread 41 bound to OS proc set {41}
OMP: pid 41488 tid 41638 thread 52 bound to OS proc set {52}
OMP: pid 41488 tid 41624 thread 38 bound to OS proc set {38}
OMP: pid 41488 tid 41629 thread 43 bound to OS proc set {43}
OMP: pid 41488 tid 41617 thread 31 bound to OS proc set {31}
OMP: pid 41488 tid 41651 thread 65 bound to OS proc set {65}
OMP: pid 41488 tid 41644 thread 58 bound to OS proc set {58}
OMP: pid 41488 tid 41641 thread 55 bound to OS proc set {55}
OMP: pid 41488 tid 41631 thread 45 bound to OS proc set {45}
OMP: pid 41488 tid 41640 thread 54 bound to OS proc set {54}
OMP: pid 41488 tid 41628 thread 42 bound to OS proc set {42}
OMP: pid 41488 tid 41622 thread 36 bound to OS proc set {36}
OMP: pid 41488 tid 41632 thread 46 bound to OS proc set {46}
OMP: pid 41488 tid 41643 thread 57 bound to OS proc set {57}
OMP: pid 41488 tid 41645 thread 59 bound to OS proc set {59}
OMP: pid 41488 tid 41642 thread 56 bound to OS proc set {56}
OMP: pid 41488 tid 41634 thread 48 bound to OS proc set {48}
OMP: pid 41488 tid 41630 thread 44 bound to OS proc set {44}
OMP: pid 41488 tid 41648 thread 62 bound to OS proc set {62}
OMP: pid 41488 tid 41655 thread 69 bound to OS proc set {69}
OMP: pid 41488 tid 41657 thread 71 bound to OS proc set {71}
OMP: pid 41488 tid 41654 thread 68 bound to OS proc set {68}
OMP: pid 41488 tid 41647 thread 61 bound to OS proc set {61}
OMP: pid 41488 tid 41646 thread 60 bound to OS proc set {60}
OMP: pid 41488 tid 41633 thread 47 bound to OS proc set {47}
OMP: pid 41488 tid 41656 thread 70 bound to OS proc set {70}
OMP: pid 41488 tid 41660 thread 74 bound to OS proc set {74}
OMP: pid 41488 tid 41658 thread 72 bound to OS proc set {72}
OMP: pid 41488 tid 41663 thread 77 bound to OS proc set {77}
OMP: pid 41488 tid 41661 thread 75 bound to OS proc set {75}
OMP: pid 41488 tid 41664 thread 78 bound to OS proc set {78}
OMP: pid 41488 tid 41650 thread 64 bound to OS proc set {64}
OMP: pid 41488 tid 41665 thread 79 bound to OS proc set {79}
OMP: pid 41488 tid 41662 thread 76 bound to OS proc set {76}
OMP: pid 41488 tid 41659 thread 73 bound to OS proc set {73}
OMP: pid 41488 tid 41649 thread 63 bound to OS proc set {63}
OMP: pid 41488 tid 41669 thread 83 bound to OS proc set {83}
OMP: pid 41488 tid 41668 thread 82 bound to OS proc set {82}
OMP: pid 41488 tid 41667 thread 81 bound to OS proc set {81}
OMP: pid 41488 tid 41666 thread 80 bound to OS proc set {80}
OMP: pid 41488 tid 41671 thread 85 bound to OS proc set {85}
OMP: pid 41488 tid 41675 thread 89 bound to OS proc set {89}
OMP: pid 41488 tid 41679 thread 93 bound to OS proc set {93}
OMP: pid 41488 tid 41678 thread 92 bound to OS proc set {92}
OMP: pid 41488 tid 41673 thread 87 bound to OS proc set {87}
OMP: pid 41488 tid 41676 thread 90 bound to OS proc set {90}
OMP: pid 41488 tid 41674 thread 88 bound to OS proc set {88}
OMP: pid 41488 tid 41670 thread 84 bound to OS proc set {84}
OMP: pid 41488 tid 41680 thread 94 bound to OS proc set {94}
OMP: pid 41488 tid 41672 thread 86 bound to OS proc set {86}
OMP: pid 41488 tid 41677 thread 91 bound to OS proc set {91}
OMP: pid 41488 tid 41681 thread 95 bound to OS proc set {95}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_6 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 41764 tid 41863 thread 1 bound to OS proc set {1}
OMP: pid 41764 tid 41864 thread 2 bound to OS proc set {2}
OMP: pid 41764 tid 41865 thread 3 bound to OS proc set {3}
OMP: pid 41764 tid 41764 thread 0 bound to OS proc set {0}
OMP: pid 41764 tid 41868 thread 6 bound to OS proc set {6}
OMP: pid 41764 tid 41867 thread 5 bound to OS proc set {5}
OMP: pid 41764 tid 41875 thread 13 bound to OS proc set {13}
OMP: pid 41764 tid 41871 thread 9 bound to OS proc set {9}
OMP: pid 41764 tid 41870 thread 8 bound to OS proc set {8}
OMP: pid 41764 tid 41872 thread 10 bound to OS proc set {10}
OMP: pid 41764 tid 41866 thread 4 bound to OS proc set {4}
OMP: pid 41764 tid 41874 thread 12 bound to OS proc set {12}
OMP: pid 41764 tid 41876 thread 14 bound to OS proc set {14}
OMP: pid 41764 tid 41873 thread 11 bound to OS proc set {11}
OMP: pid 41764 tid 41879 thread 17 bound to OS proc set {17}
OMP: pid 41764 tid 41869 thread 7 bound to OS proc set {7}
OMP: pid 41764 tid 41895 thread 33 bound to OS proc set {33}
OMP: pid 41764 tid 41877 thread 15 bound to OS proc set {15}
OMP: pid 41764 tid 41896 thread 34 bound to OS proc set {34}
OMP: pid 41764 tid 41911 thread 49 bound to OS proc set {49}
OMP: pid 41764 tid 41880 thread 18 bound to OS proc set {18}
OMP: pid 41764 tid 41912 thread 50 bound to OS proc set {50}
OMP: pid 41764 tid 41881 thread 19 bound to OS proc set {19}
OMP: pid 41764 tid 41878 thread 16 bound to OS proc set {16}
OMP: pid 41764 tid 41883 thread 21 bound to OS proc set {21}
OMP: pid 41764 tid 41927 thread 65 bound to OS proc set {65}
OMP: pid 41764 tid 41897 thread 35 bound to OS proc set {35}
OMP: pid 41764 tid 41882 thread 20 bound to OS proc set {20}
OMP: pid 41764 tid 41887 thread 25 bound to OS proc set {25}
OMP: pid 41764 tid 41884 thread 22 bound to OS proc set {22}
OMP: pid 41764 tid 41928 thread 66 bound to OS proc set {66}
OMP: pid 41764 tid 41894 thread 32 bound to OS proc set {32}
OMP: pid 41764 tid 41891 thread 29 bound to OS proc set {29}
OMP: pid 41764 tid 41888 thread 26 bound to OS proc set {26}
OMP: pid 41764 tid 41886 thread 24 bound to OS proc set {24}
OMP: pid 41764 tid 41918 thread 56 bound to OS proc set {56}
OMP: pid 41764 tid 41900 thread 38 bound to OS proc set {38}
OMP: pid 41764 tid 41903 thread 41 bound to OS proc set {41}
OMP: pid 41764 tid 41902 thread 40 bound to OS proc set {40}
OMP: pid 41764 tid 41890 thread 28 bound to OS proc set {28}
OMP: pid 41764 tid 41885 thread 23 bound to OS proc set {23}
OMP: pid 41764 tid 41904 thread 42 bound to OS proc set {42}
OMP: pid 41764 tid 41889 thread 27 bound to OS proc set {27}
OMP: pid 41764 tid 41892 thread 30 bound to OS proc set {30}
OMP: pid 41764 tid 41898 thread 36 bound to OS proc set {36}
OMP: pid 41764 tid 41910 thread 48 bound to OS proc set {48}
OMP: pid 41764 tid 41906 thread 44 bound to OS proc set {44}
OMP: pid 41764 tid 41907 thread 45 bound to OS proc set {45}
OMP: pid 41764 tid 41893 thread 31 bound to OS proc set {31}
OMP: pid 41764 tid 41899 thread 37 bound to OS proc set {37}
OMP: pid 41764 tid 41914 thread 52 bound to OS proc set {52}
OMP: pid 41764 tid 41908 thread 46 bound to OS proc set {46}
OMP: pid 41764 tid 41931 thread 69 bound to OS proc set {69}
OMP: pid 41764 tid 41929 thread 67 bound to OS proc set {67}
OMP: pid 41764 tid 41926 thread 64 bound to OS proc set {64}
OMP: pid 41764 tid 41915 thread 53 bound to OS proc set {53}
OMP: pid 41764 tid 41916 thread 54 bound to OS proc set {54}
OMP: pid 41764 tid 41935 thread 73 bound to OS proc set {73}
OMP: pid 41764 tid 41913 thread 51 bound to OS proc set {51}
OMP: pid 41764 tid 41901 thread 39 bound to OS proc set {39}
OMP: pid 41764 tid 41919 thread 57 bound to OS proc set {57}
OMP: pid 41764 tid 41917 thread 55 bound to OS proc set {55}
OMP: pid 41764 tid 41923 thread 61 bound to OS proc set {61}
OMP: pid 41764 tid 41932 thread 70 bound to OS proc set {70}
OMP: pid 41764 tid 41909 thread 47 bound to OS proc set {47}
OMP: pid 41764 tid 41920 thread 58 bound to OS proc set {58}
OMP: pid 41764 tid 41922 thread 60 bound to OS proc set {60}
OMP: pid 41764 tid 41939 thread 77 bound to OS proc set {77}
OMP: pid 41764 tid 41925 thread 63 bound to OS proc set {63}
OMP: pid 41764 tid 41930 thread 68 bound to OS proc set {68}
OMP: pid 41764 tid 41938 thread 76 bound to OS proc set {76}
OMP: pid 41764 tid 41934 thread 72 bound to OS proc set {72}
OMP: pid 41764 tid 41943 thread 81 bound to OS proc set {81}
OMP: pid 41764 tid 41940 thread 78 bound to OS proc set {78}
OMP: pid 41764 tid 41937 thread 75 bound to OS proc set {75}
OMP: pid 41764 tid 41924 thread 62 bound to OS proc set {62}
OMP: pid 41764 tid 41933 thread 71 bound to OS proc set {71}
OMP: pid 41764 tid 41936 thread 74 bound to OS proc set {74}
OMP: pid 41764 tid 41921 thread 59 bound to OS proc set {59}
OMP: pid 41764 tid 41941 thread 79 bound to OS proc set {79}
OMP: pid 41764 tid 41944 thread 82 bound to OS proc set {82}
OMP: pid 41764 tid 41905 thread 43 bound to OS proc set {43}
OMP: pid 41764 tid 41942 thread 80 bound to OS proc set {80}
OMP: pid 41764 tid 41945 thread 83 bound to OS proc set {83}
OMP: pid 41764 tid 41946 thread 84 bound to OS proc set {84}
OMP: pid 41764 tid 41951 thread 89 bound to OS proc set {89}
OMP: pid 41764 tid 41956 thread 94 bound to OS proc set {94}
OMP: pid 41764 tid 41952 thread 90 bound to OS proc set {90}
OMP: pid 41764 tid 41955 thread 93 bound to OS proc set {93}
OMP: pid 41764 tid 41947 thread 85 bound to OS proc set {85}
OMP: pid 41764 tid 41953 thread 91 bound to OS proc set {91}
OMP: pid 41764 tid 41957 thread 95 bound to OS proc set {95}
OMP: pid 41764 tid 41950 thread 88 bound to OS proc set {88}
OMP: pid 41764 tid 41954 thread 92 bound to OS proc set {92}
OMP: pid 41764 tid 41949 thread 87 bound to OS proc set {87}
OMP: pid 41764 tid 41948 thread 86 bound to OS proc set {86}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_7 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 41981 tid 42080 thread 1 bound to OS proc set {1}
OMP: pid 41981 tid 42081 thread 2 bound to OS proc set {2}
OMP: pid 41981 tid 42082 thread 3 bound to OS proc set {3}
OMP: pid 41981 tid 42084 thread 5 bound to OS proc set {5}
OMP: pid 41981 tid 42083 thread 4 bound to OS proc set {4}
OMP: pid 41981 tid 41981 thread 0 bound to OS proc set {0}
OMP: pid 41981 tid 42088 thread 9 bound to OS proc set {9}
OMP: pid 41981 tid 42085 thread 6 bound to OS proc set {6}
OMP: pid 41981 tid 42089 thread 10 bound to OS proc set {10}
OMP: pid 41981 tid 42093 thread 14 bound to OS proc set {14}
OMP: pid 41981 tid 42087 thread 8 bound to OS proc set {8}
OMP: pid 41981 tid 42092 thread 13 bound to OS proc set {13}
OMP: pid 41981 tid 42086 thread 7 bound to OS proc set {7}
OMP: pid 41981 tid 42094 thread 15 bound to OS proc set {15}
OMP: pid 41981 tid 42091 thread 12 bound to OS proc set {12}
OMP: pid 41981 tid 42090 thread 11 bound to OS proc set {11}
OMP: pid 41981 tid 42098 thread 19 bound to OS proc set {19}
OMP: pid 41981 tid 42097 thread 18 bound to OS proc set {18}
OMP: pid 41981 tid 42129 thread 50 bound to OS proc set {50}
OMP: pid 41981 tid 42113 thread 34 bound to OS proc set {34}
OMP: pid 41981 tid 42114 thread 35 bound to OS proc set {35}
OMP: pid 41981 tid 42095 thread 16 bound to OS proc set {16}
OMP: pid 41981 tid 42096 thread 17 bound to OS proc set {17}
OMP: pid 41981 tid 42112 thread 33 bound to OS proc set {33}
OMP: pid 41981 tid 42099 thread 20 bound to OS proc set {20}
OMP: pid 41981 tid 42130 thread 51 bound to OS proc set {51}
OMP: pid 41981 tid 42100 thread 21 bound to OS proc set {21}
OMP: pid 41981 tid 42145 thread 66 bound to OS proc set {66}
OMP: pid 41981 tid 42146 thread 67 bound to OS proc set {67}
OMP: pid 41981 tid 42101 thread 22 bound to OS proc set {22}
OMP: pid 41981 tid 42128 thread 49 bound to OS proc set {49}
OMP: pid 41981 tid 42103 thread 24 bound to OS proc set {24}
OMP: pid 41981 tid 42104 thread 25 bound to OS proc set {25}
OMP: pid 41981 tid 42108 thread 29 bound to OS proc set {29}
OMP: pid 41981 tid 42102 thread 23 bound to OS proc set {23}
OMP: pid 41981 tid 42116 thread 37 bound to OS proc set {37}
OMP: pid 41981 tid 42120 thread 41 bound to OS proc set {41}
OMP: pid 41981 tid 42115 thread 36 bound to OS proc set {36}
OMP: pid 41981 tid 42127 thread 48 bound to OS proc set {48}
OMP: pid 41981 tid 42118 thread 39 bound to OS proc set {39}
OMP: pid 41981 tid 42105 thread 26 bound to OS proc set {26}
OMP: pid 41981 tid 42119 thread 40 bound to OS proc set {40}
OMP: pid 41981 tid 42111 thread 32 bound to OS proc set {32}
OMP: pid 41981 tid 42107 thread 28 bound to OS proc set {28}
OMP: pid 41981 tid 42106 thread 27 bound to OS proc set {27}
OMP: pid 41981 tid 42109 thread 30 bound to OS proc set {30}
OMP: pid 41981 tid 42110 thread 31 bound to OS proc set {31}
OMP: pid 41981 tid 42133 thread 54 bound to OS proc set {54}
OMP: pid 41981 tid 42121 thread 42 bound to OS proc set {42}
OMP: pid 41981 tid 42144 thread 65 bound to OS proc set {65}
OMP: pid 41981 tid 42122 thread 43 bound to OS proc set {43}
OMP: pid 41981 tid 42132 thread 53 bound to OS proc set {53}
OMP: pid 41981 tid 42134 thread 55 bound to OS proc set {55}
OMP: pid 41981 tid 42124 thread 45 bound to OS proc set {45}
OMP: pid 41981 tid 42136 thread 57 bound to OS proc set {57}
OMP: pid 41981 tid 42135 thread 56 bound to OS proc set {56}
OMP: pid 41981 tid 42141 thread 62 bound to OS proc set {62}
OMP: pid 41981 tid 42137 thread 58 bound to OS proc set {58}
OMP: pid 41981 tid 42123 thread 44 bound to OS proc set {44}
OMP: pid 41981 tid 42148 thread 69 bound to OS proc set {69}
OMP: pid 41981 tid 42147 thread 68 bound to OS proc set {68}
OMP: pid 41981 tid 42140 thread 61 bound to OS proc set {61}
OMP: pid 41981 tid 42139 thread 60 bound to OS proc set {60}
OMP: pid 41981 tid 42138 thread 59 bound to OS proc set {59}
OMP: pid 41981 tid 42149 thread 70 bound to OS proc set {70}
OMP: pid 41981 tid 42152 thread 73 bound to OS proc set {73}
OMP: pid 41981 tid 42151 thread 72 bound to OS proc set {72}
OMP: pid 41981 tid 42150 thread 71 bound to OS proc set {71}
OMP: pid 41981 tid 42153 thread 74 bound to OS proc set {74}
OMP: pid 41981 tid 42131 thread 52 bound to OS proc set {52}
OMP: pid 41981 tid 42126 thread 47 bound to OS proc set {47}
OMP: pid 41981 tid 42157 thread 78 bound to OS proc set {78}
OMP: pid 41981 tid 42158 thread 79 bound to OS proc set {79}
OMP: pid 41981 tid 42142 thread 63 bound to OS proc set {63}
OMP: pid 41981 tid 42156 thread 77 bound to OS proc set {77}
OMP: pid 41981 tid 42117 thread 38 bound to OS proc set {38}
OMP: pid 41981 tid 42125 thread 46 bound to OS proc set {46}
OMP: pid 41981 tid 42155 thread 76 bound to OS proc set {76}
OMP: pid 41981 tid 42154 thread 75 bound to OS proc set {75}
OMP: pid 41981 tid 42143 thread 64 bound to OS proc set {64}
OMP: pid 41981 tid 42161 thread 82 bound to OS proc set {82}
OMP: pid 41981 tid 42162 thread 83 bound to OS proc set {83}
OMP: pid 41981 tid 42160 thread 81 bound to OS proc set {81}
OMP: pid 41981 tid 42159 thread 80 bound to OS proc set {80}
OMP: pid 41981 tid 42164 thread 85 bound to OS proc set {85}
OMP: pid 41981 tid 42174 thread 95 bound to OS proc set {95}
OMP: pid 41981 tid 42171 thread 92 bound to OS proc set {92}
OMP: pid 41981 tid 42167 thread 88 bound to OS proc set {88}
OMP: pid 41981 tid 42165 thread 86 bound to OS proc set {86}
OMP: pid 41981 tid 42168 thread 89 bound to OS proc set {89}
OMP: pid 41981 tid 42163 thread 84 bound to OS proc set {84}
OMP: pid 41981 tid 42170 thread 91 bound to OS proc set {91}
OMP: pid 41981 tid 42166 thread 87 bound to OS proc set {87}
OMP: pid 41981 tid 42172 thread 93 bound to OS proc set {93}
OMP: pid 41981 tid 42173 thread 94 bound to OS proc set {94}
OMP: pid 41981 tid 42169 thread 90 bound to OS proc set {90}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_8 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 42196 tid 42297 thread 3 bound to OS proc set {3}
OMP: pid 42196 tid 42299 thread 5 bound to OS proc set {5}
OMP: pid 42196 tid 42303 thread 9 bound to OS proc set {9}
OMP: pid 42196 tid 42300 thread 6 bound to OS proc set {6}
OMP: pid 42196 tid 42298 thread 4 bound to OS proc set {4}
OMP: pid 42196 tid 42196 thread 0 bound to OS proc set {0}
OMP: pid 42196 tid 42307 thread 13 bound to OS proc set {13}
OMP: pid 42196 tid 42302 thread 8 bound to OS proc set {8}
OMP: pid 42196 tid 42301 thread 7 bound to OS proc set {7}
OMP: pid 42196 tid 42311 thread 17 bound to OS proc set {17}
OMP: pid 42196 tid 42306 thread 12 bound to OS proc set {12}
OMP: pid 42196 tid 42295 thread 1 bound to OS proc set {1}
OMP: pid 42196 tid 42308 thread 14 bound to OS proc set {14}
OMP: pid 42196 tid 42304 thread 10 bound to OS proc set {10}
OMP: pid 42196 tid 42305 thread 11 bound to OS proc set {11}
OMP: pid 42196 tid 42296 thread 2 bound to OS proc set {2}
OMP: pid 42196 tid 42312 thread 18 bound to OS proc set {18}
OMP: pid 42196 tid 42309 thread 15 bound to OS proc set {15}
OMP: pid 42196 tid 42327 thread 33 bound to OS proc set {33}
OMP: pid 42196 tid 42313 thread 19 bound to OS proc set {19}
OMP: pid 42196 tid 42328 thread 34 bound to OS proc set {34}
OMP: pid 42196 tid 42343 thread 49 bound to OS proc set {49}
OMP: pid 42196 tid 42329 thread 35 bound to OS proc set {35}
OMP: pid 42196 tid 42344 thread 50 bound to OS proc set {50}
OMP: pid 42196 tid 42310 thread 16 bound to OS proc set {16}
OMP: pid 42196 tid 42345 thread 51 bound to OS proc set {51}
OMP: pid 42196 tid 42326 thread 32 bound to OS proc set {32}
OMP: pid 42196 tid 42315 thread 21 bound to OS proc set {21}
OMP: pid 42196 tid 42342 thread 48 bound to OS proc set {48}
OMP: pid 42196 tid 42318 thread 24 bound to OS proc set {24}
OMP: pid 42196 tid 42314 thread 20 bound to OS proc set {20}
OMP: pid 42196 tid 42331 thread 37 bound to OS proc set {37}
OMP: pid 42196 tid 42320 thread 26 bound to OS proc set {26}
OMP: pid 42196 tid 42323 thread 29 bound to OS proc set {29}
OMP: pid 42196 tid 42330 thread 36 bound to OS proc set {36}
OMP: pid 42196 tid 42322 thread 28 bound to OS proc set {28}
OMP: pid 42196 tid 42324 thread 30 bound to OS proc set {30}
OMP: pid 42196 tid 42332 thread 38 bound to OS proc set {38}
OMP: pid 42196 tid 42319 thread 25 bound to OS proc set {25}
OMP: pid 42196 tid 42321 thread 27 bound to OS proc set {27}
OMP: pid 42196 tid 42360 thread 66 bound to OS proc set {66}
OMP: pid 42196 tid 42335 thread 41 bound to OS proc set {41}
OMP: pid 42196 tid 42347 thread 53 bound to OS proc set {53}
OMP: pid 42196 tid 42339 thread 45 bound to OS proc set {45}
OMP: pid 42196 tid 42325 thread 31 bound to OS proc set {31}
OMP: pid 42196 tid 42346 thread 52 bound to OS proc set {52}
OMP: pid 42196 tid 42334 thread 40 bound to OS proc set {40}
OMP: pid 42196 tid 42348 thread 54 bound to OS proc set {54}
OMP: pid 42196 tid 42336 thread 42 bound to OS proc set {42}
OMP: pid 42196 tid 42333 thread 39 bound to OS proc set {39}
OMP: pid 42196 tid 42338 thread 44 bound to OS proc set {44}
OMP: pid 42196 tid 42340 thread 46 bound to OS proc set {46}
OMP: pid 42196 tid 42351 thread 57 bound to OS proc set {57}
OMP: pid 42196 tid 42337 thread 43 bound to OS proc set {43}
OMP: pid 42196 tid 42341 thread 47 bound to OS proc set {47}
OMP: pid 42196 tid 42349 thread 55 bound to OS proc set {55}
OMP: pid 42196 tid 42361 thread 67 bound to OS proc set {67}
OMP: pid 42196 tid 42352 thread 58 bound to OS proc set {58}
OMP: pid 42196 tid 42350 thread 56 bound to OS proc set {56}
OMP: pid 42196 tid 42355 thread 61 bound to OS proc set {61}
OMP: pid 42196 tid 42354 thread 60 bound to OS proc set {60}
OMP: pid 42196 tid 42359 thread 65 bound to OS proc set {65}
OMP: pid 42196 tid 42316 thread 22 bound to OS proc set {22}
OMP: pid 42196 tid 42367 thread 73 bound to OS proc set {73}
OMP: pid 42196 tid 42364 thread 70 bound to OS proc set {70}
OMP: pid 42196 tid 42371 thread 77 bound to OS proc set {77}
OMP: pid 42196 tid 42365 thread 71 bound to OS proc set {71}
OMP: pid 42196 tid 42375 thread 81 bound to OS proc set {81}
OMP: pid 42196 tid 42368 thread 74 bound to OS proc set {74}
OMP: pid 42196 tid 42353 thread 59 bound to OS proc set {59}
OMP: pid 42196 tid 42370 thread 76 bound to OS proc set {76}
OMP: pid 42196 tid 42363 thread 69 bound to OS proc set {69}
OMP: pid 42196 tid 42358 thread 64 bound to OS proc set {64}
OMP: pid 42196 tid 42376 thread 82 bound to OS proc set {82}
OMP: pid 42196 tid 42366 thread 72 bound to OS proc set {72}
OMP: pid 42196 tid 42369 thread 75 bound to OS proc set {75}
OMP: pid 42196 tid 42372 thread 78 bound to OS proc set {78}
OMP: pid 42196 tid 42373 thread 79 bound to OS proc set {79}
OMP: pid 42196 tid 42317 thread 23 bound to OS proc set {23}
OMP: pid 42196 tid 42362 thread 68 bound to OS proc set {68}
OMP: pid 42196 tid 42357 thread 63 bound to OS proc set {63}
OMP: pid 42196 tid 42377 thread 83 bound to OS proc set {83}
OMP: pid 42196 tid 42374 thread 80 bound to OS proc set {80}
OMP: pid 42196 tid 42379 thread 85 bound to OS proc set {85}
OMP: pid 42196 tid 42378 thread 84 bound to OS proc set {84}
OMP: pid 42196 tid 42380 thread 86 bound to OS proc set {86}
OMP: pid 42196 tid 42383 thread 89 bound to OS proc set {89}
OMP: pid 42196 tid 42356 thread 62 bound to OS proc set {62}
OMP: pid 42196 tid 42386 thread 92 bound to OS proc set {92}
OMP: pid 42196 tid 42385 thread 91 bound to OS proc set {91}
OMP: pid 42196 tid 42389 thread 95 bound to OS proc set {95}
OMP: pid 42196 tid 42382 thread 88 bound to OS proc set {88}
OMP: pid 42196 tid 42381 thread 87 bound to OS proc set {87}
OMP: pid 42196 tid 42388 thread 94 bound to OS proc set {94}
OMP: pid 42196 tid 42387 thread 93 bound to OS proc set {93}
OMP: pid 42196 tid 42384 thread 90 bound to OS proc set {90}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9
To display your profiling results:
###########################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_9 #
###########################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 42473 tid 42574 thread 3 bound to OS proc set {3}
OMP: pid 42473 tid 42580 thread 9 bound to OS proc set {9}
OMP: pid 42473 tid 42576 thread 5 bound to OS proc set {5}
OMP: pid 42473 tid 42575 thread 4 bound to OS proc set {4}
OMP: pid 42473 tid 42473 thread 0 bound to OS proc set {0}
OMP: pid 42473 tid 42572 thread 1 bound to OS proc set {1}
OMP: pid 42473 tid 42584 thread 13 bound to OS proc set {13}
OMP: pid 42473 tid 42577 thread 6 bound to OS proc set {6}
OMP: pid 42473 tid 42583 thread 12 bound to OS proc set {12}
OMP: pid 42473 tid 42579 thread 8 bound to OS proc set {8}
OMP: pid 42473 tid 42573 thread 2 bound to OS proc set {2}
OMP: pid 42473 tid 42581 thread 10 bound to OS proc set {10}
OMP: pid 42473 tid 42585 thread 14 bound to OS proc set {14}
OMP: pid 42473 tid 42578 thread 7 bound to OS proc set {7}
OMP: pid 42473 tid 42588 thread 17 bound to OS proc set {17}
OMP: pid 42473 tid 42582 thread 11 bound to OS proc set {11}
OMP: pid 42473 tid 42586 thread 15 bound to OS proc set {15}
OMP: pid 42473 tid 42589 thread 18 bound to OS proc set {18}
OMP: pid 42473 tid 42604 thread 33 bound to OS proc set {33}
OMP: pid 42473 tid 42590 thread 19 bound to OS proc set {19}
OMP: pid 42473 tid 42605 thread 34 bound to OS proc set {34}
OMP: pid 42473 tid 42587 thread 16 bound to OS proc set {16}
OMP: pid 42473 tid 42606 thread 35 bound to OS proc set {35}
OMP: pid 42473 tid 42603 thread 32 bound to OS proc set {32}
OMP: pid 42473 tid 42591 thread 20 bound to OS proc set {20}
OMP: pid 42473 tid 42596 thread 25 bound to OS proc set {25}
OMP: pid 42473 tid 42620 thread 49 bound to OS proc set {49}
OMP: pid 42473 tid 42592 thread 21 bound to OS proc set {21}
OMP: pid 42473 tid 42593 thread 22 bound to OS proc set {22}
OMP: pid 42473 tid 42608 thread 37 bound to OS proc set {37}
OMP: pid 42473 tid 42595 thread 24 bound to OS proc set {24}
OMP: pid 42473 tid 42600 thread 29 bound to OS proc set {29}
OMP: pid 42473 tid 42594 thread 23 bound to OS proc set {23}
OMP: pid 42473 tid 42597 thread 26 bound to OS proc set {26}
OMP: pid 42473 tid 42607 thread 36 bound to OS proc set {36}
OMP: pid 42473 tid 42598 thread 27 bound to OS proc set {27}
OMP: pid 42473 tid 42599 thread 28 bound to OS proc set {28}
OMP: pid 42473 tid 42601 thread 30 bound to OS proc set {30}
OMP: pid 42473 tid 42609 thread 38 bound to OS proc set {38}
OMP: pid 42473 tid 42636 thread 65 bound to OS proc set {65}
OMP: pid 42473 tid 42610 thread 39 bound to OS proc set {39}
OMP: pid 42473 tid 42622 thread 51 bound to OS proc set {51}
OMP: pid 42473 tid 42611 thread 40 bound to OS proc set {40}
OMP: pid 42473 tid 42621 thread 50 bound to OS proc set {50}
OMP: pid 42473 tid 42637 thread 66 bound to OS proc set {66}
OMP: pid 42473 tid 42625 thread 54 bound to OS proc set {54}
OMP: pid 42473 tid 42612 thread 41 bound to OS proc set {41}
OMP: pid 42473 tid 42623 thread 52 bound to OS proc set {52}
OMP: pid 42473 tid 42618 thread 47 bound to OS proc set {47}
OMP: pid 42473 tid 42619 thread 48 bound to OS proc set {48}
OMP: pid 42473 tid 42616 thread 45 bound to OS proc set {45}
OMP: pid 42473 tid 42617 thread 46 bound to OS proc set {46}
OMP: pid 42473 tid 42626 thread 55 bound to OS proc set {55}
OMP: pid 42473 tid 42624 thread 53 bound to OS proc set {53}
OMP: pid 42473 tid 42628 thread 57 bound to OS proc set {57}
OMP: pid 42473 tid 42629 thread 58 bound to OS proc set {58}
OMP: pid 42473 tid 42602 thread 31 bound to OS proc set {31}
OMP: pid 42473 tid 42615 thread 44 bound to OS proc set {44}
OMP: pid 42473 tid 42630 thread 59 bound to OS proc set {59}
OMP: pid 42473 tid 42644 thread 73 bound to OS proc set {73}
OMP: pid 42473 tid 42635 thread 64 bound to OS proc set {64}
OMP: pid 42473 tid 42641 thread 70 bound to OS proc set {70}
OMP: pid 42473 tid 42638 thread 67 bound to OS proc set {67}
OMP: pid 42473 tid 42631 thread 60 bound to OS proc set {60}
OMP: pid 42473 tid 42632 thread 61 bound to OS proc set {61}
OMP: pid 42473 tid 42639 thread 68 bound to OS proc set {68}
OMP: pid 42473 tid 42645 thread 74 bound to OS proc set {74}
OMP: pid 42473 tid 42643 thread 72 bound to OS proc set {72}
OMP: pid 42473 tid 42627 thread 56 bound to OS proc set {56}
OMP: pid 42473 tid 42614 thread 43 bound to OS proc set {43}
OMP: pid 42473 tid 42634 thread 63 bound to OS proc set {63}
OMP: pid 42473 tid 42648 thread 77 bound to OS proc set {77}
OMP: pid 42473 tid 42646 thread 75 bound to OS proc set {75}
OMP: pid 42473 tid 42640 thread 69 bound to OS proc set {69}
OMP: pid 42473 tid 42642 thread 71 bound to OS proc set {71}
OMP: pid 42473 tid 42653 thread 82 bound to OS proc set {82}
OMP: pid 42473 tid 42633 thread 62 bound to OS proc set {62}
OMP: pid 42473 tid 42649 thread 78 bound to OS proc set {78}
OMP: pid 42473 tid 42652 thread 81 bound to OS proc set {81}
OMP: pid 42473 tid 42650 thread 79 bound to OS proc set {79}
OMP: pid 42473 tid 42654 thread 83 bound to OS proc set {83}
OMP: pid 42473 tid 42613 thread 42 bound to OS proc set {42}
OMP: pid 42473 tid 42651 thread 80 bound to OS proc set {80}
OMP: pid 42473 tid 42647 thread 76 bound to OS proc set {76}
OMP: pid 42473 tid 42664 thread 93 bound to OS proc set {93}
OMP: pid 42473 tid 42665 thread 94 bound to OS proc set {94}
OMP: pid 42473 tid 42660 thread 89 bound to OS proc set {89}
OMP: pid 42473 tid 42661 thread 90 bound to OS proc set {90}
OMP: pid 42473 tid 42656 thread 85 bound to OS proc set {85}
OMP: pid 42473 tid 42657 thread 86 bound to OS proc set {86}
OMP: pid 42473 tid 42663 thread 92 bound to OS proc set {92}
OMP: pid 42473 tid 42662 thread 91 bound to OS proc set {91}
OMP: pid 42473 tid 42659 thread 88 bound to OS proc set {88}
OMP: pid 42473 tid 42655 thread 84 bound to OS proc set {84}
OMP: pid 42473 tid 42658 thread 87 bound to OS proc set {87}
OMP: pid 42473 tid 42666 thread 95 bound to OS proc set {95}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10
To display your profiling results:
############################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
############################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_10 #
############################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 42688 tid 42787 thread 1 bound to OS proc set {1}
OMP: pid 42688 tid 42788 thread 2 bound to OS proc set {2}
OMP: pid 42688 tid 42789 thread 3 bound to OS proc set {3}
OMP: pid 42688 tid 42688 thread 0 bound to OS proc set {0}
OMP: pid 42688 tid 42795 thread 9 bound to OS proc set {9}
OMP: pid 42688 tid 42790 thread 4 bound to OS proc set {4}
OMP: pid 42688 tid 42792 thread 6 bound to OS proc set {6}
OMP: pid 42688 tid 42791 thread 5 bound to OS proc set {5}
OMP: pid 42688 tid 42794 thread 8 bound to OS proc set {8}
OMP: pid 42688 tid 42799 thread 13 bound to OS proc set {13}
OMP: pid 42688 tid 42798 thread 12 bound to OS proc set {12}
OMP: pid 42688 tid 42796 thread 10 bound to OS proc set {10}
OMP: pid 42688 tid 42800 thread 14 bound to OS proc set {14}
OMP: pid 42688 tid 42793 thread 7 bound to OS proc set {7}
OMP: pid 42688 tid 42801 thread 15 bound to OS proc set {15}
OMP: pid 42688 tid 42797 thread 11 bound to OS proc set {11}
OMP: pid 42688 tid 42804 thread 18 bound to OS proc set {18}
OMP: pid 42688 tid 42805 thread 19 bound to OS proc set {19}
OMP: pid 42688 tid 42820 thread 34 bound to OS proc set {34}
OMP: pid 42688 tid 42835 thread 49 bound to OS proc set {49}
OMP: pid 42688 tid 42821 thread 35 bound to OS proc set {35}
OMP: pid 42688 tid 42803 thread 17 bound to OS proc set {17}
OMP: pid 42688 tid 42802 thread 16 bound to OS proc set {16}
OMP: pid 42688 tid 42819 thread 33 bound to OS proc set {33}
OMP: pid 42688 tid 42851 thread 65 bound to OS proc set {65}
OMP: pid 42688 tid 42807 thread 21 bound to OS proc set {21}
OMP: pid 42688 tid 42808 thread 22 bound to OS proc set {22}
OMP: pid 42688 tid 42852 thread 66 bound to OS proc set {66}
OMP: pid 42688 tid 42806 thread 20 bound to OS proc set {20}
OMP: pid 42688 tid 42837 thread 51 bound to OS proc set {51}
OMP: pid 42688 tid 42812 thread 26 bound to OS proc set {26}
OMP: pid 42688 tid 42809 thread 23 bound to OS proc set {23}
OMP: pid 42688 tid 42811 thread 25 bound to OS proc set {25}
OMP: pid 42688 tid 42810 thread 24 bound to OS proc set {24}
OMP: pid 42688 tid 42836 thread 50 bound to OS proc set {50}
OMP: pid 42688 tid 42816 thread 30 bound to OS proc set {30}
OMP: pid 42688 tid 42815 thread 29 bound to OS proc set {29}
OMP: pid 42688 tid 42823 thread 37 bound to OS proc set {37}
OMP: pid 42688 tid 42822 thread 36 bound to OS proc set {36}
OMP: pid 42688 tid 42814 thread 28 bound to OS proc set {28}
OMP: pid 42688 tid 42828 thread 42 bound to OS proc set {42}
OMP: pid 42688 tid 42824 thread 38 bound to OS proc set {38}
OMP: pid 42688 tid 42827 thread 41 bound to OS proc set {41}
OMP: pid 42688 tid 42839 thread 53 bound to OS proc set {53}
OMP: pid 42688 tid 42813 thread 27 bound to OS proc set {27}
OMP: pid 42688 tid 42826 thread 40 bound to OS proc set {40}
OMP: pid 42688 tid 42818 thread 32 bound to OS proc set {32}
OMP: pid 42688 tid 42830 thread 44 bound to OS proc set {44}
OMP: pid 42688 tid 42840 thread 54 bound to OS proc set {54}
OMP: pid 42688 tid 42831 thread 45 bound to OS proc set {45}
OMP: pid 42688 tid 42832 thread 46 bound to OS proc set {46}
OMP: pid 42688 tid 42853 thread 67 bound to OS proc set {67}
OMP: pid 42688 tid 42847 thread 61 bound to OS proc set {61}
OMP: pid 42688 tid 42850 thread 64 bound to OS proc set {64}
OMP: pid 42688 tid 42817 thread 31 bound to OS proc set {31}
OMP: pid 42688 tid 42825 thread 39 bound to OS proc set {39}
OMP: pid 42688 tid 42842 thread 56 bound to OS proc set {56}
OMP: pid 42688 tid 42829 thread 43 bound to OS proc set {43}
OMP: pid 42688 tid 42838 thread 52 bound to OS proc set {52}
OMP: pid 42688 tid 42841 thread 55 bound to OS proc set {55}
OMP: pid 42688 tid 42856 thread 70 bound to OS proc set {70}
OMP: pid 42688 tid 42859 thread 73 bound to OS proc set {73}
OMP: pid 42688 tid 42855 thread 69 bound to OS proc set {69}
OMP: pid 42688 tid 42843 thread 57 bound to OS proc set {57}
OMP: pid 42688 tid 42863 thread 77 bound to OS proc set {77}
OMP: pid 42688 tid 42844 thread 58 bound to OS proc set {58}
OMP: pid 42688 tid 42845 thread 59 bound to OS proc set {59}
OMP: pid 42688 tid 42854 thread 68 bound to OS proc set {68}
OMP: pid 42688 tid 42846 thread 60 bound to OS proc set {60}
OMP: pid 42688 tid 42860 thread 74 bound to OS proc set {74}
OMP: pid 42688 tid 42862 thread 76 bound to OS proc set {76}
OMP: pid 42688 tid 42833 thread 47 bound to OS proc set {47}
OMP: pid 42688 tid 42857 thread 71 bound to OS proc set {71}
OMP: pid 42688 tid 42867 thread 81 bound to OS proc set {81}
OMP: pid 42688 tid 42834 thread 48 bound to OS proc set {48}
OMP: pid 42688 tid 42865 thread 79 bound to OS proc set {79}
OMP: pid 42688 tid 42868 thread 82 bound to OS proc set {82}
OMP: pid 42688 tid 42858 thread 72 bound to OS proc set {72}
OMP: pid 42688 tid 42848 thread 62 bound to OS proc set {62}
OMP: pid 42688 tid 42864 thread 78 bound to OS proc set {78}
OMP: pid 42688 tid 42849 thread 63 bound to OS proc set {63}
OMP: pid 42688 tid 42869 thread 83 bound to OS proc set {83}
OMP: pid 42688 tid 42866 thread 80 bound to OS proc set {80}
OMP: pid 42688 tid 42861 thread 75 bound to OS proc set {75}
OMP: pid 42688 tid 42874 thread 88 bound to OS proc set {88}
OMP: pid 42688 tid 42879 thread 93 bound to OS proc set {93}
OMP: pid 42688 tid 42875 thread 89 bound to OS proc set {89}
OMP: pid 42688 tid 42871 thread 85 bound to OS proc set {85}
OMP: pid 42688 tid 42876 thread 90 bound to OS proc set {90}
OMP: pid 42688 tid 42878 thread 92 bound to OS proc set {92}
OMP: pid 42688 tid 42870 thread 84 bound to OS proc set {84}
OMP: pid 42688 tid 42881 thread 95 bound to OS proc set {95}
OMP: pid 42688 tid 42877 thread 91 bound to OS proc set {91}
OMP: pid 42688 tid 42880 thread 94 bound to OS proc set {94}
OMP: pid 42688 tid 42873 thread 87 bound to OS proc set {87}
OMP: pid 42688 tid 42872 thread 86 bound to OS proc set {86}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11
To display your profiling results:
############################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
############################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_11 #
############################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 42903 tid 43004 thread 3 bound to OS proc set {3}
OMP: pid 42903 tid 43002 thread 1 bound to OS proc set {1}
OMP: pid 42903 tid 43003 thread 2 bound to OS proc set {2}
OMP: pid 42903 tid 43006 thread 5 bound to OS proc set {5}
OMP: pid 42903 tid 43010 thread 9 bound to OS proc set {9}
OMP: pid 42903 tid 43005 thread 4 bound to OS proc set {4}
OMP: pid 42903 tid 43007 thread 6 bound to OS proc set {6}
OMP: pid 42903 tid 42903 thread 0 bound to OS proc set {0}
OMP: pid 42903 tid 43014 thread 13 bound to OS proc set {13}
OMP: pid 42903 tid 43008 thread 7 bound to OS proc set {7}
OMP: pid 42903 tid 43013 thread 12 bound to OS proc set {12}
OMP: pid 42903 tid 43015 thread 14 bound to OS proc set {14}
OMP: pid 42903 tid 43011 thread 10 bound to OS proc set {10}
OMP: pid 42903 tid 43012 thread 11 bound to OS proc set {11}
OMP: pid 42903 tid 43018 thread 17 bound to OS proc set {17}
OMP: pid 42903 tid 43009 thread 8 bound to OS proc set {8}
OMP: pid 42903 tid 43016 thread 15 bound to OS proc set {15}
OMP: pid 42903 tid 43017 thread 16 bound to OS proc set {16}
OMP: pid 42903 tid 43020 thread 19 bound to OS proc set {19}
OMP: pid 42903 tid 43034 thread 33 bound to OS proc set {33}
OMP: pid 42903 tid 43035 thread 34 bound to OS proc set {34}
OMP: pid 42903 tid 43050 thread 49 bound to OS proc set {49}
OMP: pid 42903 tid 43036 thread 35 bound to OS proc set {35}
OMP: pid 42903 tid 43066 thread 65 bound to OS proc set {65}
OMP: pid 42903 tid 43051 thread 50 bound to OS proc set {50}
OMP: pid 42903 tid 43052 thread 51 bound to OS proc set {51}
OMP: pid 42903 tid 43067 thread 66 bound to OS proc set {66}
OMP: pid 42903 tid 43019 thread 18 bound to OS proc set {18}
OMP: pid 42903 tid 43021 thread 20 bound to OS proc set {20}
OMP: pid 42903 tid 43026 thread 25 bound to OS proc set {25}
OMP: pid 42903 tid 43023 thread 22 bound to OS proc set {22}
OMP: pid 42903 tid 43033 thread 32 bound to OS proc set {32}
OMP: pid 42903 tid 43042 thread 41 bound to OS proc set {41}
OMP: pid 42903 tid 43030 thread 29 bound to OS proc set {29}
OMP: pid 42903 tid 43025 thread 24 bound to OS proc set {24}
OMP: pid 42903 tid 43041 thread 40 bound to OS proc set {40}
OMP: pid 42903 tid 43039 thread 38 bound to OS proc set {38}
OMP: pid 42903 tid 43022 thread 21 bound to OS proc set {21}
OMP: pid 42903 tid 43043 thread 42 bound to OS proc set {42}
OMP: pid 42903 tid 43031 thread 30 bound to OS proc set {30}
OMP: pid 42903 tid 43037 thread 36 bound to OS proc set {36}
OMP: pid 42903 tid 43068 thread 67 bound to OS proc set {67}
OMP: pid 42903 tid 43040 thread 39 bound to OS proc set {39}
OMP: pid 42903 tid 43053 thread 52 bound to OS proc set {52}
OMP: pid 42903 tid 43024 thread 23 bound to OS proc set {23}
OMP: pid 42903 tid 43029 thread 28 bound to OS proc set {28}
OMP: pid 42903 tid 43054 thread 53 bound to OS proc set {53}
OMP: pid 42903 tid 43044 thread 43 bound to OS proc set {43}
OMP: pid 42903 tid 43027 thread 26 bound to OS proc set {26}
OMP: pid 42903 tid 43038 thread 37 bound to OS proc set {37}
OMP: pid 42903 tid 43062 thread 61 bound to OS proc set {61}
OMP: pid 42903 tid 43032 thread 31 bound to OS proc set {31}
OMP: pid 42903 tid 43057 thread 56 bound to OS proc set {56}
OMP: pid 42903 tid 43065 thread 64 bound to OS proc set {64}
OMP: pid 42903 tid 43059 thread 58 bound to OS proc set {58}
OMP: pid 42903 tid 43056 thread 55 bound to OS proc set {55}
OMP: pid 42903 tid 43046 thread 45 bound to OS proc set {45}
OMP: pid 42903 tid 43069 thread 68 bound to OS proc set {68}
OMP: pid 42903 tid 43045 thread 44 bound to OS proc set {44}
OMP: pid 42903 tid 43070 thread 69 bound to OS proc set {69}
OMP: pid 42903 tid 43061 thread 60 bound to OS proc set {60}
OMP: pid 42903 tid 43048 thread 47 bound to OS proc set {47}
OMP: pid 42903 tid 43047 thread 46 bound to OS proc set {46}
OMP: pid 42903 tid 43072 thread 71 bound to OS proc set {71}
OMP: pid 42903 tid 43073 thread 72 bound to OS proc set {72}
OMP: pid 42903 tid 43082 thread 81 bound to OS proc set {81}
OMP: pid 42903 tid 43049 thread 48 bound to OS proc set {48}
OMP: pid 42903 tid 43058 thread 57 bound to OS proc set {57}
OMP: pid 42903 tid 43074 thread 73 bound to OS proc set {73}
OMP: pid 42903 tid 43078 thread 77 bound to OS proc set {77}
OMP: pid 42903 tid 43028 thread 27 bound to OS proc set {27}
OMP: pid 42903 tid 43076 thread 75 bound to OS proc set {75}
OMP: pid 42903 tid 43079 thread 78 bound to OS proc set {78}
OMP: pid 42903 tid 43080 thread 79 bound to OS proc set {79}
OMP: pid 42903 tid 43083 thread 82 bound to OS proc set {82}
OMP: pid 42903 tid 43071 thread 70 bound to OS proc set {70}
OMP: pid 42903 tid 43075 thread 74 bound to OS proc set {74}
OMP: pid 42903 tid 43081 thread 80 bound to OS proc set {80}
OMP: pid 42903 tid 43084 thread 83 bound to OS proc set {83}
OMP: pid 42903 tid 43077 thread 76 bound to OS proc set {76}
OMP: pid 42903 tid 43055 thread 54 bound to OS proc set {54}
OMP: pid 42903 tid 43060 thread 59 bound to OS proc set {59}
OMP: pid 42903 tid 43064 thread 63 bound to OS proc set {63}
OMP: pid 42903 tid 43094 thread 93 bound to OS proc set {93}
OMP: pid 42903 tid 43090 thread 89 bound to OS proc set {89}
OMP: pid 42903 tid 43091 thread 90 bound to OS proc set {90}
OMP: pid 42903 tid 43085 thread 84 bound to OS proc set {84}
OMP: pid 42903 tid 43086 thread 85 bound to OS proc set {85}
OMP: pid 42903 tid 43087 thread 86 bound to OS proc set {86}
OMP: pid 42903 tid 43092 thread 91 bound to OS proc set {91}
OMP: pid 42903 tid 43095 thread 94 bound to OS proc set {94}
OMP: pid 42903 tid 43089 thread 88 bound to OS proc set {88}
OMP: pid 42903 tid 43093 thread 92 bound to OS proc set {92}
OMP: pid 42903 tid 43096 thread 95 bound to OS proc set {95}
OMP: pid 42903 tid 43063 thread 62 bound to OS proc set {62}
OMP: pid 42903 tid 43088 thread 87 bound to OS proc set {87}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12
To display your profiling results:
############################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
############################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_12 #
############################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 43177 tid 43278 thread 3 bound to OS proc set {3}
OMP: pid 43177 tid 43276 thread 1 bound to OS proc set {1}
OMP: pid 43177 tid 43277 thread 2 bound to OS proc set {2}
OMP: pid 43177 tid 43284 thread 9 bound to OS proc set {9}
OMP: pid 43177 tid 43280 thread 5 bound to OS proc set {5}
OMP: pid 43177 tid 43279 thread 4 bound to OS proc set {4}
OMP: pid 43177 tid 43177 thread 0 bound to OS proc set {0}
OMP: pid 43177 tid 43281 thread 6 bound to OS proc set {6}
OMP: pid 43177 tid 43283 thread 8 bound to OS proc set {8}
OMP: pid 43177 tid 43288 thread 13 bound to OS proc set {13}
OMP: pid 43177 tid 43282 thread 7 bound to OS proc set {7}
OMP: pid 43177 tid 43285 thread 10 bound to OS proc set {10}
OMP: pid 43177 tid 43287 thread 12 bound to OS proc set {12}
OMP: pid 43177 tid 43286 thread 11 bound to OS proc set {11}
OMP: pid 43177 tid 43289 thread 14 bound to OS proc set {14}
OMP: pid 43177 tid 43292 thread 17 bound to OS proc set {17}
OMP: pid 43177 tid 43293 thread 18 bound to OS proc set {18}
OMP: pid 43177 tid 43290 thread 15 bound to OS proc set {15}
OMP: pid 43177 tid 43294 thread 19 bound to OS proc set {19}
OMP: pid 43177 tid 43291 thread 16 bound to OS proc set {16}
OMP: pid 43177 tid 43296 thread 21 bound to OS proc set {21}
OMP: pid 43177 tid 43295 thread 20 bound to OS proc set {20}
OMP: pid 43177 tid 43324 thread 49 bound to OS proc set {49}
OMP: pid 43177 tid 43297 thread 22 bound to OS proc set {22}
OMP: pid 43177 tid 43325 thread 50 bound to OS proc set {50}
OMP: pid 43177 tid 43298 thread 23 bound to OS proc set {23}
OMP: pid 43177 tid 43299 thread 24 bound to OS proc set {24}
OMP: pid 43177 tid 43308 thread 33 bound to OS proc set {33}
OMP: pid 43177 tid 43310 thread 35 bound to OS proc set {35}
OMP: pid 43177 tid 43302 thread 27 bound to OS proc set {27}
OMP: pid 43177 tid 43309 thread 34 bound to OS proc set {34}
OMP: pid 43177 tid 43340 thread 65 bound to OS proc set {65}
OMP: pid 43177 tid 43326 thread 51 bound to OS proc set {51}
OMP: pid 43177 tid 43341 thread 66 bound to OS proc set {66}
OMP: pid 43177 tid 43311 thread 36 bound to OS proc set {36}
OMP: pid 43177 tid 43313 thread 38 bound to OS proc set {38}
OMP: pid 43177 tid 43301 thread 26 bound to OS proc set {26}
OMP: pid 43177 tid 43304 thread 29 bound to OS proc set {29}
OMP: pid 43177 tid 43312 thread 37 bound to OS proc set {37}
OMP: pid 43177 tid 43316 thread 41 bound to OS proc set {41}
OMP: pid 43177 tid 43315 thread 40 bound to OS proc set {40}
OMP: pid 43177 tid 43317 thread 42 bound to OS proc set {42}
OMP: pid 43177 tid 43314 thread 39 bound to OS proc set {39}
OMP: pid 43177 tid 43306 thread 31 bound to OS proc set {31}
OMP: pid 43177 tid 43323 thread 48 bound to OS proc set {48}
OMP: pid 43177 tid 43329 thread 54 bound to OS proc set {54}
OMP: pid 43177 tid 43300 thread 25 bound to OS proc set {25}
OMP: pid 43177 tid 43307 thread 32 bound to OS proc set {32}
OMP: pid 43177 tid 43327 thread 52 bound to OS proc set {52}
OMP: pid 43177 tid 43318 thread 43 bound to OS proc set {43}
OMP: pid 43177 tid 43320 thread 45 bound to OS proc set {45}
OMP: pid 43177 tid 43305 thread 30 bound to OS proc set {30}
OMP: pid 43177 tid 43321 thread 46 bound to OS proc set {46}
OMP: pid 43177 tid 43319 thread 44 bound to OS proc set {44}
OMP: pid 43177 tid 43342 thread 67 bound to OS proc set {67}
OMP: pid 43177 tid 43330 thread 55 bound to OS proc set {55}
OMP: pid 43177 tid 43328 thread 53 bound to OS proc set {53}
OMP: pid 43177 tid 43332 thread 57 bound to OS proc set {57}
OMP: pid 43177 tid 43339 thread 64 bound to OS proc set {64}
OMP: pid 43177 tid 43344 thread 69 bound to OS proc set {69}
OMP: pid 43177 tid 43322 thread 47 bound to OS proc set {47}
OMP: pid 43177 tid 43336 thread 61 bound to OS proc set {61}
OMP: pid 43177 tid 43333 thread 58 bound to OS proc set {58}
OMP: pid 43177 tid 43335 thread 60 bound to OS proc set {60}
OMP: pid 43177 tid 43343 thread 68 bound to OS proc set {68}
OMP: pid 43177 tid 43352 thread 77 bound to OS proc set {77}
OMP: pid 43177 tid 43348 thread 73 bound to OS proc set {73}
OMP: pid 43177 tid 43334 thread 59 bound to OS proc set {59}
OMP: pid 43177 tid 43337 thread 62 bound to OS proc set {62}
OMP: pid 43177 tid 43331 thread 56 bound to OS proc set {56}
OMP: pid 43177 tid 43351 thread 76 bound to OS proc set {76}
OMP: pid 43177 tid 43349 thread 74 bound to OS proc set {74}
OMP: pid 43177 tid 43338 thread 63 bound to OS proc set {63}
OMP: pid 43177 tid 43346 thread 71 bound to OS proc set {71}
OMP: pid 43177 tid 43303 thread 28 bound to OS proc set {28}
OMP: pid 43177 tid 43357 thread 82 bound to OS proc set {82}
OMP: pid 43177 tid 43347 thread 72 bound to OS proc set {72}
OMP: pid 43177 tid 43356 thread 81 bound to OS proc set {81}
OMP: pid 43177 tid 43345 thread 70 bound to OS proc set {70}
OMP: pid 43177 tid 43358 thread 83 bound to OS proc set {83}
OMP: pid 43177 tid 43355 thread 80 bound to OS proc set {80}
OMP: pid 43177 tid 43354 thread 79 bound to OS proc set {79}
OMP: pid 43177 tid 43360 thread 85 bound to OS proc set {85}
OMP: pid 43177 tid 43353 thread 78 bound to OS proc set {78}
OMP: pid 43177 tid 43361 thread 86 bound to OS proc set {86}
OMP: pid 43177 tid 43364 thread 89 bound to OS proc set {89}
OMP: pid 43177 tid 43359 thread 84 bound to OS proc set {84}
OMP: pid 43177 tid 43365 thread 90 bound to OS proc set {90}
OMP: pid 43177 tid 43368 thread 93 bound to OS proc set {93}
OMP: pid 43177 tid 43367 thread 92 bound to OS proc set {92}
OMP: pid 43177 tid 43370 thread 95 bound to OS proc set {95}
OMP: pid 43177 tid 43363 thread 88 bound to OS proc set {88}
OMP: pid 43177 tid 43350 thread 75 bound to OS proc set {75}
OMP: pid 43177 tid 43366 thread 91 bound to OS proc set {91}
OMP: pid 43177 tid 43369 thread 94 bound to OS proc set {94}
OMP: pid 43177 tid 43362 thread 87 bound to OS proc set {87}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13
To display your profiling results:
############################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
############################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_13 #
############################################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 43392 tid 43491 thread 1 bound to OS proc set {1}
OMP: pid 43392 tid 43495 thread 5 bound to OS proc set {5}
OMP: pid 43392 tid 43494 thread 4 bound to OS proc set {4}
OMP: pid 43392 tid 43492 thread 2 bound to OS proc set {2}
OMP: pid 43392 tid 43392 thread 0 bound to OS proc set {0}
OMP: pid 43392 tid 43493 thread 3 bound to OS proc set {3}
OMP: pid 43392 tid 43499 thread 9 bound to OS proc set {9}
OMP: pid 43392 tid 43500 thread 10 bound to OS proc set {10}
OMP: pid 43392 tid 43496 thread 6 bound to OS proc set {6}
OMP: pid 43392 tid 43498 thread 8 bound to OS proc set {8}
OMP: pid 43392 tid 43504 thread 14 bound to OS proc set {14}
OMP: pid 43392 tid 43501 thread 11 bound to OS proc set {11}
OMP: pid 43392 tid 43497 thread 7 bound to OS proc set {7}
OMP: pid 43392 tid 43507 thread 17 bound to OS proc set {17}
OMP: pid 43392 tid 43503 thread 13 bound to OS proc set {13}
OMP: pid 43392 tid 43505 thread 15 bound to OS proc set {15}
OMP: pid 43392 tid 43509 thread 19 bound to OS proc set {19}
OMP: pid 43392 tid 43523 thread 33 bound to OS proc set {33}
OMP: pid 43392 tid 43539 thread 49 bound to OS proc set {49}
OMP: pid 43392 tid 43524 thread 34 bound to OS proc set {34}
OMP: pid 43392 tid 43540 thread 50 bound to OS proc set {50}
OMP: pid 43392 tid 43502 thread 12 bound to OS proc set {12}
OMP: pid 43392 tid 43506 thread 16 bound to OS proc set {16}
OMP: pid 43392 tid 43508 thread 18 bound to OS proc set {18}
OMP: pid 43392 tid 43511 thread 21 bound to OS proc set {21}
OMP: pid 43392 tid 43555 thread 65 bound to OS proc set {65}
OMP: pid 43392 tid 43541 thread 51 bound to OS proc set {51}
OMP: pid 43392 tid 43510 thread 20 bound to OS proc set {20}
OMP: pid 43392 tid 43525 thread 35 bound to OS proc set {35}
OMP: pid 43392 tid 43556 thread 66 bound to OS proc set {66}
OMP: pid 43392 tid 43557 thread 67 bound to OS proc set {67}
OMP: pid 43392 tid 43514 thread 24 bound to OS proc set {24}
OMP: pid 43392 tid 43512 thread 22 bound to OS proc set {22}
OMP: pid 43392 tid 43517 thread 27 bound to OS proc set {27}
OMP: pid 43392 tid 43515 thread 25 bound to OS proc set {25}
OMP: pid 43392 tid 43528 thread 38 bound to OS proc set {38}
OMP: pid 43392 tid 43513 thread 23 bound to OS proc set {23}
OMP: pid 43392 tid 43531 thread 41 bound to OS proc set {41}
OMP: pid 43392 tid 43516 thread 26 bound to OS proc set {26}
OMP: pid 43392 tid 43522 thread 32 bound to OS proc set {32}
OMP: pid 43392 tid 43542 thread 52 bound to OS proc set {52}
OMP: pid 43392 tid 43518 thread 28 bound to OS proc set {28}
OMP: pid 43392 tid 43527 thread 37 bound to OS proc set {37}
OMP: pid 43392 tid 43526 thread 36 bound to OS proc set {36}
OMP: pid 43392 tid 43519 thread 29 bound to OS proc set {29}
OMP: pid 43392 tid 43532 thread 42 bound to OS proc set {42}
OMP: pid 43392 tid 43547 thread 57 bound to OS proc set {57}
OMP: pid 43392 tid 43538 thread 48 bound to OS proc set {48}
OMP: pid 43392 tid 43549 thread 59 bound to OS proc set {59}
OMP: pid 43392 tid 43559 thread 69 bound to OS proc set {69}
OMP: pid 43392 tid 43546 thread 56 bound to OS proc set {56}
OMP: pid 43392 tid 43534 thread 44 bound to OS proc set {44}
OMP: pid 43392 tid 43545 thread 55 bound to OS proc set {55}
OMP: pid 43392 tid 43543 thread 53 bound to OS proc set {53}
OMP: pid 43392 tid 43530 thread 40 bound to OS proc set {40}
OMP: pid 43392 tid 43548 thread 58 bound to OS proc set {58}
OMP: pid 43392 tid 43535 thread 45 bound to OS proc set {45}
OMP: pid 43392 tid 43536 thread 46 bound to OS proc set {46}
OMP: pid 43392 tid 43558 thread 68 bound to OS proc set {68}
OMP: pid 43392 tid 43550 thread 60 bound to OS proc set {60}
OMP: pid 43392 tid 43554 thread 64 bound to OS proc set {64}
OMP: pid 43392 tid 43571 thread 81 bound to OS proc set {81}
OMP: pid 43392 tid 43551 thread 61 bound to OS proc set {61}
OMP: pid 43392 tid 43544 thread 54 bound to OS proc set {54}
OMP: pid 43392 tid 43568 thread 78 bound to OS proc set {78}
OMP: pid 43392 tid 43537 thread 47 bound to OS proc set {47}
OMP: pid 43392 tid 43562 thread 72 bound to OS proc set {72}
OMP: pid 43392 tid 43569 thread 79 bound to OS proc set {79}
OMP: pid 43392 tid 43567 thread 77 bound to OS proc set {77}
OMP: pid 43392 tid 43572 thread 82 bound to OS proc set {82}
OMP: pid 43392 tid 43552 thread 62 bound to OS proc set {62}
OMP: pid 43392 tid 43565 thread 75 bound to OS proc set {75}
OMP: pid 43392 tid 43520 thread 30 bound to OS proc set {30}
OMP: pid 43392 tid 43529 thread 39 bound to OS proc set {39}
OMP: pid 43392 tid 43533 thread 43 bound to OS proc set {43}
OMP: pid 43392 tid 43553 thread 63 bound to OS proc set {63}
OMP: pid 43392 tid 43560 thread 70 bound to OS proc set {70}
OMP: pid 43392 tid 43521 thread 31 bound to OS proc set {31}
OMP: pid 43392 tid 43561 thread 71 bound to OS proc set {71}
OMP: pid 43392 tid 43566 thread 76 bound to OS proc set {76}
OMP: pid 43392 tid 43564 thread 74 bound to OS proc set {74}
OMP: pid 43392 tid 43573 thread 83 bound to OS proc set {83}
OMP: pid 43392 tid 43570 thread 80 bound to OS proc set {80}
OMP: pid 43392 tid 43583 thread 93 bound to OS proc set {93}
OMP: pid 43392 tid 43575 thread 85 bound to OS proc set {85}
OMP: pid 43392 tid 43579 thread 89 bound to OS proc set {89}
OMP: pid 43392 tid 43563 thread 73 bound to OS proc set {73}
OMP: pid 43392 tid 43578 thread 88 bound to OS proc set {88}
OMP: pid 43392 tid 43585 thread 95 bound to OS proc set {95}
OMP: pid 43392 tid 43580 thread 90 bound to OS proc set {90}
OMP: pid 43392 tid 43577 thread 87 bound to OS proc set {87}
OMP: pid 43392 tid 43584 thread 94 bound to OS proc set {94}
OMP: pid 43392 tid 43581 thread 91 bound to OS proc set {91}
OMP: pid 43392 tid 43574 thread 84 bound to OS proc set {84}
OMP: pid 43392 tid 43582 thread 92 bound to OS proc set {92}
OMP: pid 43392 tid 43576 thread 86 bound to OS proc set {86}
what is a LLM? and why should i care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that can process and generate human-like text based on the input it receives. LLMs are trained on vast amounts of text data, which allows them to learn patterns, relationships, and context in language. This enables them to generate coherent and often informative responses to user queries.
Here are some reasons why you should care about LLMs:
1. **Improved search and content generation:** LLMs can help improve search results by providing more accurate and relevant information. They can also generate content such as articles, blog posts, and even entire books.
2. **Personalized experiences:** LLMs can be used to create personalized experiences for users. For example, they can generate customized news feeds, product recommendations, or even entire stories based on a user's interests and preferences.
3. **Customer support:** LLMs can be used to provide 24/7 customer support by answering frequently asked questions, helping with simple transactions, and even handling complex issues.
4. **Language learning:** LLMs can help language learners by providing personalized feedback, practicing conversations, and even generating language learning materials.
5. **Content creation:** LLMs can be used to create content such as dialogue, scripts, and even entire stories. This can help writers, filmmakers, and other creators to generate ideas and develop their projects.
Some popular examples of LLMs include:
1. **Chatbots:** Many companies use LLMs to power their chatbots, which can help customers with simple transactions, answer frequently asked questions, and even provide customer support.
2. **Virtual assistants:** LLMs are used in virtual assistants like Siri, Google Assistant, and Alexa to provide information, set reminders, and even control smart home devices.
3. **Language translation:** LLMs are used in language translation tools like Google Translate to provide accurate and context-specific translations.
Overall, LLMs have the potential to revolutionize the way we interact with technology, from simple tasks like search and customer support to more complex tasks like content creation and language learning. As LLMs continue to evolve, we can expect to see even more innovative applications and uses for these powerful tools. [end of text]
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14
To display your profiling results:
############################################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
############################################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-802-9624/llama.cpp/run/oneview_runs/multicore/armclang_3/oneview_results_1758031731/tools/lprof_npsu_run_14 #
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