OV - exec - Loop 2

0x40227b VMOVUPD	(%R8,%RCX,1),%ZMM14    [1]

0x402282 VADDPD	(%RDI,%RCX,1),%ZMM14,%ZMM15    [2]

0x402289 VMOVUPD	%ZMM15,(%RSI,%RCX,1)    [3]

0x402290 VMOVUPD	0x40(%R8,%RCX,1),%ZMM0    [1]

0x402298 VADDPD	0x40(%RDI,%RCX,1),%ZMM0,%ZMM1    [2]

0x4022a0 VMOVUPD	%ZMM1,0x40(%RSI,%RCX,1)    [3]

0x4022a8 VMOVUPD	0x80(%R8,%RCX,1),%ZMM2    [1]

0x4022b0 VADDPD	0x80(%RDI,%RCX,1),%ZMM2,%ZMM3    [2]

0x4022b8 VMOVUPD	%ZMM3,0x80(%RSI,%RCX,1)    [3]

0x4022c0 VMOVUPD	0xc0(%R8,%RCX,1),%ZMM4    [1]

0x4022c8 VADDPD	0xc0(%RDI,%RCX,1),%ZMM4,%ZMM5    [2]

0x4022d0 VMOVUPD	%ZMM5,0xc0(%RSI,%RCX,1)    [3]

0x4022d8 VMOVUPD	0x100(%R8,%RCX,1),%ZMM6    [1]

0x4022e0 VADDPD	0x100(%RDI,%RCX,1),%ZMM6,%ZMM7    [2]

0x4022e8 VMOVUPD	%ZMM7,0x100(%RSI,%RCX,1)    [3]

0x4022f0 VMOVUPD	0x140(%R8,%RCX,1),%ZMM8    [1]

0x4022f8 VADDPD	0x140(%RDI,%RCX,1),%ZMM8,%ZMM9    [2]

0x402300 VMOVUPD	%ZMM9,0x140(%RSI,%RCX,1)    [3]

0x402308 VMOVUPD	0x180(%R8,%RCX,1),%ZMM10    [1]

0x402310 VADDPD	0x180(%RDI,%RCX,1),%ZMM10,%ZMM11    [2]

0x402318 VMOVUPD	%ZMM11,0x180(%RSI,%RCX,1)    [3]

0x402320 VMOVUPD	0x1c0(%R8,%RCX,1),%ZMM12    [1]

0x402328 VADDPD	0x1c0(%RDI,%RCX,1),%ZMM12,%ZMM13    [2]

0x402330 VMOVUPD	%ZMM13,0x1c0(%RSI,%RCX,1)    [3]

0x402338 ADD	$0x200,%RCX

0x40233f CMP	%R10,%RCX

0x402342 JNE	40227b

/beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/build/stream-add/src/stream.c: 344 - 344

--------------------------------------------------------------------------------

344: 	    c[j] = a[j]+b[j];

Coverage (%)	Name	Source Location	Module
○83.46	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○16.54	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.00	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.25	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.23	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.36	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.45	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.54	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.64	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.71	gomp_thread_start	team.c:130	libgomp.so.1.0.0

Coverage (%)	Name	Source Location	Module
○99.60	gomp_thread_start	team.c:130	libgomp.so.1.0.0

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

Path /

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.06
Bottlenecks	micro-operation queue,
Function	main._omp_fn.4
Source	stream.c:344-344
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	5.67
CQA cycles if no scalar integer	5.67
CQA cycles if FP arith vectorized	5.67
CQA cycles if fully vectorized	5.67
Front-end cycles	5.67
P0 cycles	4.00
P1 cycles	4.00
P2 cycles	5.33
P3 cycles	5.33
P4 cycles	4.00
P5 cycles	4.00
P6 cycles	1.00
P7 cycles	4.00
P8 cycles	4.00
P9 cycles	4.00
P10 cycles	0.40
P11 cycles	5.33
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	27.00
Nb uops	26.00
Nb loads	16.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	11.29
Nb FLOP add-sub	64.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	271.06
Bytes prefetched	0.00
Bytes loaded	1024.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	3.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	100.00
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	NA

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.06
Bottlenecks	micro-operation queue,
Function	main._omp_fn.4
Source	stream.c:344-344
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	5.67
CQA cycles if no scalar integer	5.67
CQA cycles if FP arith vectorized	5.67
CQA cycles if fully vectorized	5.67
Front-end cycles	5.67
P0 cycles	4.00
P1 cycles	4.00
P2 cycles	5.33
P3 cycles	5.33
P4 cycles	4.00
P5 cycles	4.00
P6 cycles	1.00
P7 cycles	4.00
P8 cycles	4.00
P9 cycles	4.00
P10 cycles	0.40
P11 cycles	5.33
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	27.00
Nb uops	26.00
Nb loads	16.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	11.29
Nb FLOP add-sub	64.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	271.06
Bytes prefetched	0.00
Bytes loaded	1024.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	3.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	100.00
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	NA

Path /

Average path: Display a virtual path defined by average values of all real paths

Function	main._omp_fn.4
Source file and lines	stream.c:344-344
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/build/stream-add/src/stream.c:344.

The related source loop is not unrolled or unrolled with no peel/tail loop.

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

All SSE/AVX instructions are used in vector version (process two or more data elements in vector registers).

Execution units bottlenecks

Found no such bottlenecks but see expert reports for more complex bottlenecks.

No data for this section

Type of elements and instruction set

8 AVX-512 instructions are processing arithmetic or math operations on double precision FP elements in vector mode (eight at a time).

Matching between your loop (in the source code) and the binary loop

The binary loop is composed of 64 FP arithmetical operations:

64: addition or subtraction

The binary loop is loading 1024 bytes (128 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.04 FP operations per loaded or stored byte.

Unroll opportunity

Loop is data access bound.

Workaround

Unroll your loop if trip count is significantly higher than target unroll factor and if some data references are common to consecutive iterations. This can be done manually. Or by recompiling with -funroll-loops and/or -floop-unroll-and-jam. Or with the unroll (resp. unroll_and_jam) directive on top of the inner (resp. surrounding) loop. You can enforce an unroll factor: #pragma GCC unroll N

General properties

nb instructions	27
nb uops	26
loop length	205
used x86 registers	5
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	16
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	5.67 cycles
front end	5.67 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	4.00	0.60	5.33	5.33	4.00	4.00	1.00	4.00	4.00	4.00	0.40	5.33
cycles	4.00	4.00	5.33	5.33	4.00	4.00	1.00	4.00	4.00	4.00	0.40	5.33

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	5.67
Dispatch	5.33
Data deps.	1.00
Overall L1	5.67

Vectorization ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

Vector efficiency ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 5.67 cycles. At this rate:

94% of peak load performance is reached (180.71 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
70% of peak store performance is reached (90.35 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Performance is limited by instruction throughput (loading/decoding program instructions to execution core) (front-end is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 5.67 to 5.33 cycles (1.06x speedup).

ASM code

In the binary file, the address of the loop is: 40227b

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMOVUPD (%R8,%RCX,1),%ZMM14	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD (%RDI,%RCX,1),%ZMM14,%ZMM15	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM15,(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x40(%R8,%RCX,1),%ZMM0	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x40(%RDI,%RCX,1),%ZMM0,%ZMM1	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM1,0x40(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x80(%R8,%RCX,1),%ZMM2	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x80(%RDI,%RCX,1),%ZMM2,%ZMM3	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM3,0x80(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0xc0(%R8,%RCX,1),%ZMM4	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0xc0(%RDI,%RCX,1),%ZMM4,%ZMM5	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM5,0xc0(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x100(%R8,%RCX,1),%ZMM6	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x100(%RDI,%RCX,1),%ZMM6,%ZMM7	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM7,0x100(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x140(%R8,%RCX,1),%ZMM8	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x140(%RDI,%RCX,1),%ZMM8,%ZMM9	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM9,0x140(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x180(%R8,%RCX,1),%ZMM10	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x180(%RDI,%RCX,1),%ZMM10,%ZMM11	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM11,0x180(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x1c0(%R8,%RCX,1),%ZMM12	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x1c0(%RDI,%RCX,1),%ZMM12,%ZMM13	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM13,0x1c0(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
ADD $0x200,%RCX	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
CMP %R10,%RCX	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
JNE 40227b <main._omp_fn.4+0x19b>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

Function	main._omp_fn.4
Source file and lines	stream.c:344-344
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/build/stream-add/src/stream.c:344.

The related source loop is not unrolled or unrolled with no peel/tail loop.

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

All SSE/AVX instructions are used in vector version (process two or more data elements in vector registers).

Execution units bottlenecks

Found no such bottlenecks but see expert reports for more complex bottlenecks.

No data for this section

Type of elements and instruction set

8 AVX-512 instructions are processing arithmetic or math operations on double precision FP elements in vector mode (eight at a time).

Matching between your loop (in the source code) and the binary loop

The binary loop is composed of 64 FP arithmetical operations:

64: addition or subtraction

The binary loop is loading 1024 bytes (128 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.04 FP operations per loaded or stored byte.

Unroll opportunity

Loop is data access bound.

Workaround

Unroll your loop if trip count is significantly higher than target unroll factor and if some data references are common to consecutive iterations. This can be done manually. Or by recompiling with -funroll-loops and/or -floop-unroll-and-jam. Or with the unroll (resp. unroll_and_jam) directive on top of the inner (resp. surrounding) loop. You can enforce an unroll factor: #pragma GCC unroll N

General properties

nb instructions	27
nb uops	26
loop length	205
used x86 registers	5
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	16
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	5.67 cycles
front end	5.67 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	4.00	0.60	5.33	5.33	4.00	4.00	1.00	4.00	4.00	4.00	0.40	5.33
cycles	4.00	4.00	5.33	5.33	4.00	4.00	1.00	4.00	4.00	4.00	0.40	5.33

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	5.67
Dispatch	5.33
Data deps.	1.00
Overall L1	5.67

Vectorization ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

Vector efficiency ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 5.67 cycles. At this rate:

94% of peak load performance is reached (180.71 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
70% of peak store performance is reached (90.35 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Performance is limited by instruction throughput (loading/decoding program instructions to execution core) (front-end is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 5.67 to 5.33 cycles (1.06x speedup).

ASM code

In the binary file, the address of the loop is: 40227b

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMOVUPD (%R8,%RCX,1),%ZMM14	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD (%RDI,%RCX,1),%ZMM14,%ZMM15	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM15,(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x40(%R8,%RCX,1),%ZMM0	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x40(%RDI,%RCX,1),%ZMM0,%ZMM1	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM1,0x40(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x80(%R8,%RCX,1),%ZMM2	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x80(%RDI,%RCX,1),%ZMM2,%ZMM3	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM3,0x80(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0xc0(%R8,%RCX,1),%ZMM4	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0xc0(%RDI,%RCX,1),%ZMM4,%ZMM5	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM5,0xc0(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x100(%R8,%RCX,1),%ZMM6	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x100(%RDI,%RCX,1),%ZMM6,%ZMM7	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM7,0x100(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x140(%R8,%RCX,1),%ZMM8	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x140(%RDI,%RCX,1),%ZMM8,%ZMM9	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM9,0x140(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x180(%R8,%RCX,1),%ZMM10	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x180(%RDI,%RCX,1),%ZMM10,%ZMM11	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM11,0x180(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD 0x1c0(%R8,%RCX,1),%ZMM12	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.50	vect (100.0%)
VADDPD 0x1c0(%RDI,%RCX,1),%ZMM12,%ZMM13	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	3	0.65	vect (100.0%)
VMOVUPD %ZMM13,0x1c0(%RSI,%RCX,1)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
ADD $0x200,%RCX	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
CMP %R10,%RCX	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
JNE 40227b <main._omp_fn.4+0x19b>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

▶Scalability Runs Description

Run 1x6	Number processes: 1Number nodes: NANumber processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threadsOMP_NUM_THREADS: 6
Run 1x96	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 96OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x120	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 120OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x126	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 126OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x144	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 144OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x168	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 168OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x192	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 192OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x216	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 216OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x240	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 240OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x256	Number processes: 1Number processes per node: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to none --report-bindings Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs_test/isix03.benchmarkcenter.megware.com/177-373-7190/stream-add/run/oneview_runs/multicore/gcc_2/oneview_run_1773737889OMP_NUM_THREADS: 256OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads

(1x6) Efficiency	(1x6) Potential Speed-Up (%)	(1x96) Efficiency	(1x96) Potential Speed-Up (%)	(1x120) Efficiency	(1x120) Potential Speed-Up (%)	(1x126) Efficiency	(1x126) Potential Speed-Up (%)	(1x144) Efficiency	(1x144) Potential Speed-Up (%)	(1x168) Efficiency	(1x168) Potential Speed-Up (%)	(1x192) Efficiency	(1x192) Potential Speed-Up (%)	(1x216) Efficiency	(1x216) Potential Speed-Up (%)	(1x240) Efficiency	(1x240) Potential Speed-Up (%)	(1x256) Efficiency	(1x256) Potential Speed-Up (%)
1	0	0.64	31.51	0.52	42.13	0.5	45.14	0.43	48.32	0.38	57.81	0.3	56.34	0.27	62.95	0.26	66.08	0.24	70.33

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x6	6	1	1	1	18.169998168945	95.607864379883
1x96	96	0.64	10.17	16	1.8649998903275	86.494323730469
1x120	120	0.52	10.33	20	1.8199998140335	87.10962677002
1x126	126	0.5	10.45	21	1.7500001192093	89.88907623291
1x144	144	0.43	10.28	24	1.9350001811981	84.530319213867
1x168	168	0.38	10.51	28	1.6899998188019	92.559791564941
1x192	192	0.3	9.59	32	2.2499997615814	80.455375671387
1x216	216	0.27	9.81	36	2.0100002288818	86.515930175781
1x240	240	0.26	10.41	40	1.8300001621246	89.327072143555
1x256	256	0.24	10.38	42.666666666667	1.6950001716614	92.952407836914

Report Configuration

Vectorization

Details

Execution units bottlenecks

Type of elements and instruction set

Matching between your loop (in the source code) and the binary loop

Arithmetic intensity

Unroll opportunity

Workaround

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Vectorization

Details

Execution units bottlenecks

Type of elements and instruction set

Matching between your loop (in the source code) and the binary loop

Arithmetic intensity

Unroll opportunity

Workaround

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

▶Scalability Runs Description

▼Columns Filter

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency