OV - attention-clang-gnr512 - Loop 73 - attention-clang-gnr512

	Loop Id: 73	Module: attention-clang-gnr512	Source: attention_v2.cpp:27-33	Coverage: 0.34%

0x5a65 VCVTSD2SS	%XMM0,%XMM0,%XMM0

0x5a69 MOV	0x30(%RSP),%RAX

0x5a6e LEA	(%RAX,%R8,1),%R9D

0x5a72 MOV	0x90(%RSP),%RAX

0x5a7a VMOVSS	%XMM0,(%RAX,%R9,4)

0x5a80 INC	%R8

0x5a83 MOV	0x38(%RSP),%R9

0x5a88 CMP	%R9,%R8

0x5a8b JE	5a15

0x5a8d CMP	$0x3,%R9D

0x5a91 JBE	5ab0

0x5a93 MOV	%R8D,%R9D

0x5a96 ADD	0xa8(%RSP),%R9D

0x5a9e SETB	%R9B

0x5aa2 OR	0x2c0(%RSP),%R9B

0x5aaa JE	7ef2

0x5ab0 CMPQ	$0x3,0xa8(%RSP)

0x5ab9 JAE	5ac7

0x5abb VXORPS	%XMM0,%XMM0,%XMM0

0x5abf XOR	%R9D,%R9D

0x5ac2 JMP	5b9a

0x5ac7 VXORPS	%XMM0,%XMM0,%XMM0

0x5acb MOV	%R8,%R10

0x5ace XOR	%R9D,%R9D

0x5ad1 MOV	0x250(%RSP),%RDX

0x5ad9 MOV	0x398(%RSP),%RAX

0x5ae1 MOV	0x2b8(%RSP),%RDI

0x5ae9 MOV	0x390(%RSP),%RSI

0x5af1 NOPW	%CS:(%RAX,%RAX,1)

  (44) 0x5b00 LEA	(%RCX,%R9,1),%R11D

  (44) 0x5b04 VMOVSS	(%R14,%R11,4),%XMM1

  (44) 0x5b0a VCVTSS2SD	%XMM1,%XMM1,%XMM1

  (44) 0x5b0e MOV	%R10D,%R11D

  (44) 0x5b11 VMOVSS	(%R13,%R11,4),%XMM2

  (44) 0x5b18 VCVTSS2SD	%XMM2,%XMM2,%XMM2

  (44) 0x5b1c VFMADD213SD	%XMM0,%XMM1,%XMM2

  (44) 0x5b21 LEA	0x1(%RCX,%R9,1),%R11D

  (44) 0x5b26 VMOVSS	(%R14,%R11,4),%XMM0

  (44) 0x5b2c VCVTSS2SD	%XMM0,%XMM0,%XMM0

  (44) 0x5b30 LEA	(%RBX,%R10,1),%R11D

  (44) 0x5b34 VMOVSS	(%R13,%R11,4),%XMM1

  (44) 0x5b3b VCVTSS2SD	%XMM1,%XMM1,%XMM1

  (44) 0x5b3f LEA	0x2(%RCX,%R9,1),%R11D

  (44) 0x5b44 VMOVSS	(%R14,%R11,4),%XMM3

  (44) 0x5b4a VCVTSS2SD	%XMM3,%XMM3,%XMM3

  (44) 0x5b4e VFMADD213SD	%XMM2,%XMM0,%XMM1

  (44) 0x5b53 LEA	(%RSI,%R10,1),%R11D

  (44) 0x5b57 VMOVSS	(%R13,%R11,4),%XMM0

  (44) 0x5b5e VCVTSS2SD	%XMM0,%XMM0,%XMM2

  (44) 0x5b62 VFMADD213SD	%XMM1,%XMM3,%XMM2

  (44) 0x5b67 LEA	0x3(%RCX,%R9,1),%R11D

  (44) 0x5b6c VMOVSS	(%R14,%R11,4),%XMM0

  (44) 0x5b72 VCVTSS2SD	%XMM0,%XMM0,%XMM1

  (44) 0x5b76 LEA	(%RAX,%R10,1),%R11D

  (44) 0x5b7a VMOVSS	(%R13,%R11,4),%XMM0

  (44) 0x5b81 VCVTSS2SD	%XMM0,%XMM0,%XMM0

  (44) 0x5b85 VFMADD213SD	%XMM2,%XMM1,%XMM0

  (44) 0x5b8a ADD	$0x4,%R9

  (44) 0x5b8e ADD	%RDI,%R10

  (44) 0x5b91 CMP	%R9,%RDX

  (44) 0x5b94 JNE	5b00

0x5b9a TEST	$0x3,%BL

0x5b9d JE	5a65

0x5ba3 MOV	%RBX,%R10

0x5ba6 IMUL	%R9,%R10

0x5baa ADD	%R8,%R10

0x5bad ADD	%ECX,%R9D

0x5bb0 MOV	0x1f0(%RSP),%R11

0x5bb8 NOPL	(%RAX,%RAX,1)

  (74) 0x5bc0 MOV	%R9D,%EBX

  (74) 0x5bc3 VMOVSS	(%R14,%RBX,4),%XMM1

  (74) 0x5bc9 VCVTSS2SD	%XMM1,%XMM1,%XMM1

  (74) 0x5bcd MOV	%R10D,%EBX

  (74) 0x5bd0 VMOVSS	(%R13,%RBX,4),%XMM2

  (74) 0x5bd7 MOV	0x60(%RSP),%RBX

  (74) 0x5bdc VCVTSS2SD	%XMM2,%XMM2,%XMM2

  (74) 0x5be0 VFMADD231SD	%XMM2,%XMM1,%XMM0

  (74) 0x5be5 ADD	%RBX,%R10

  (74) 0x5be8 INC	%R9D

  (74) 0x5beb DEC	%R11

  (74) 0x5bee JNE	5bc0

0x5bf0 JMP	5a65

/home/eoseret/llm-attention/attention_v2.cpp: 27 - 33

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

27:       for (unsigned int j = 0; j < N; ++j) {  //vectorized

28:          double sum = 0.0;

29: #pragma clang loop vectorize(enable)

30:          for (unsigned int k = 0; k < K; ++k) { //vectorized

31:             sum += (double)A[i * K + k] * (double)B[k * N + j];

32:          }

33:          C[i * N + j] = alpha * static_cast<float>(sum);

Coverage (%)	Name	Source Location	Module

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	2.17
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	12.94
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.76
Bottlenecks	micro-operation queue,
Function	main
Source	attention_v2.cpp:27-27,attention_v2.cpp:30-30,attention_v2.cpp:33-33
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	6.50
CQA cycles if no scalar integer	3.00
CQA cycles if FP arith vectorized	6.50
CQA cycles if fully vectorized	0.50
Front-end cycles	6.50
P0 cycles	3.70
P1 cycles	3.60
P2 cycles	3.67
P3 cycles	3.67
P4 cycles	0.50
P5 cycles	3.60
P6 cycles	3.50
P7 cycles	0.50
P8 cycles	0.50
P9 cycles	0.50
P10 cycles	3.60
P11 cycles	3.67
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	38.00
Nb uops	39.00
Nb loads	11.00
Nb stores	1.00
Nb stack references	10.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
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	12.46
Bytes prefetched	0.00
Bytes loaded	77.00
Bytes stored	4.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	13.33
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	25.00
Vector-efficiency ratio all	13.33
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	6.25
Vector-efficiency ratio mul	12.50
Vector-efficiency ratio add_sub	12.50
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	14.84

Metric	Value
CQA speedup if no scalar integer	2.17
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	12.94
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.76
Bottlenecks	micro-operation queue,
Function	main
Source	attention_v2.cpp:27-27,attention_v2.cpp:30-30,attention_v2.cpp:33-33
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	6.50
CQA cycles if no scalar integer	3.00
CQA cycles if FP arith vectorized	6.50
CQA cycles if fully vectorized	0.50
Front-end cycles	6.50
P0 cycles	3.70
P1 cycles	3.60
P2 cycles	3.67
P3 cycles	3.67
P4 cycles	0.50
P5 cycles	3.60
P6 cycles	3.50
P7 cycles	0.50
P8 cycles	0.50
P9 cycles	0.50
P10 cycles	3.60
P11 cycles	3.67
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	38.00
Nb uops	39.00
Nb loads	11.00
Nb stores	1.00
Nb stack references	10.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
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	12.46
Bytes prefetched	0.00
Bytes loaded	77.00
Bytes stored	4.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	13.33
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	25.00
Vector-efficiency ratio all	13.33
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	6.25
Vector-efficiency ratio mul	12.50
Vector-efficiency ratio add_sub	12.50
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	14.84

Path /

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

Function	main
Source file and lines	attention_v2.cpp:27-33
Module	attention-clang-gnr512

The loop is defined in /home/eoseret/llm-attention/attention_v2.cpp:27-33.

Analyzed code is defined in /home/eoseret/llm-attention/attention_v2.cpp:27,30,33.

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=8
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

Try to simplify control and/or increase the maximum number of paths per function/loop through the 'max-paths-nb' option.

This loop has 8 execution paths.

The presence of multiple execution paths is typically the main/first bottleneck.
Try to simplify control inside loop: ideally, try to remove all conditional expressions, for example by (if applicable):

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 6.50 to 3.00 cycles (2.17x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vectorization

Your loop is probably not vectorized. Only 13% of vector register length is used (average across all SSE/AVX instructions). By vectorizing your loop, you can lower the cost of an iteration from 6.50 to 0.50 cycles (12.94x speedup).

Details

Store and arithmetical SSE/AVX instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized loop can use their full power.

Workaround

Try another compiler or update/tune your current one:
- recompile with ffast-math (included in Ofast) to extend loop vectorization to FP reductions.
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

Execution units bottlenecks

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

No data for this section

Complex instructions

Detected COMPLEX INSTRUCTIONS.

Details

These instructions generate more than one micro-operation and only one of them can be decoded during a cycle and the extra micro-operations increase pressure on execution units.

VCVTSD2SS: 1 occurrences►
- /home/eoseret/llm-attention/attention_v2.cpp:33

Conversion instructions

Detected expensive conversion instructions.

Details

VCVTSD2SS (FP64 to FP32, scalar): 1 occurrences►
- /home/eoseret/llm-attention/attention_v2.cpp:33

Workaround

Avoid mixing data with different types. In particular, check if the type of constants is the same as array elements. Use double instead of single precision only when/where needed by numerical stability and avoid mixing precision. In C/C++, FP constants are double precision by default and must be suffixed by 'f' to make them single precision.

Type of elements and instruction set

No instructions are processing arithmetic or math operations on FP elements. This loop is probably writing/copying data or processing integer elements.

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 77 bytes. The binary loop is storing 4 bytes.

General properties

nb instructions	38
nb uops	39
loop length	198
used x86 registers	11
used mmx registers	0
used xmm registers	1
used ymm registers	0
used zmm registers	0
nb stack references	10

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	3.70	3.60	3.67	3.67	0.50	3.60	3.50	0.50	0.50	0.50	3.60	3.67
cycles	3.70	3.60	3.67	3.67	0.50	3.60	3.50	0.50	0.50	0.50	3.60	3.67

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

Cycles summary

Front-end	6.50
Dispatch	3.70
Overall L1	6.50

Vectorization ratios

INT

all	0%
load	0%
store	NA (no store vectorizable/vectorized instructions)
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	50%
load	NA (no load vectorizable/vectorized instructions)
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	66%

INT+FP

all	13%
load	0%
store	0%
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	25%

Vector efficiency ratios

INT

all	11%
load	12%
store	NA (no store vectorizable/vectorized instructions)
mul	12%
add-sub	12%
fma	NA (no fma vectorizable/vectorized instructions)
other	11%

all	17%
load	NA (no load vectorizable/vectorized instructions)
store	6%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	20%

INT+FP

all	13%
load	12%
store	6%
mul	12%
add-sub	12%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	14%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 6.50 cycles. At this rate:

6% of peak load performance is reached (11.85 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.62 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 6.50 to 3.70 cycles (1.76x speedup).

ASM code

In the binary file, the address of the loop is: 5a8d

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VCVTSD2SS %XMM0,%XMM0,%XMM0	2	0.50	0.50	0	0	0	1	0	0	0	0	0	0	5	1	scal (12.5%)
MOV 0x30(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
LEA (%RAX,%R8,1),%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1-2	0.20	N/A
MOV 0x90(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
VMOVSS %XMM0,(%RAX,%R9,4)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	1	0.50	scal (6.3%)
INC %R8	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
MOV 0x38(%RSP),%R9	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
CMP %R9,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (12.5%)
JE 5a15 <main+0x2195>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
CMP $0x3,%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (6.3%)
JBE 5ab0 <main+0x2230>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
MOV %R8D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADD 0xa8(%RSP),%R9D	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1	0.33	N/A
SETB %R9B	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	1	0.50	N/A
OR 0x2c0(%RSP),%R9B	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1-2	0.33	N/A
JE 7ef2 <main+0x4672>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
CMPQ $0x3,0xa8(%RSP)	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1	0.33	scal (12.5%)
JAE 5ac7 <main+0x2247>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
XOR %R9D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
JMP 5b9a <main+0x231a>	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2.08	N/A
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
MOV %R8,%R10	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	scal (12.5%)
XOR %R9D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x250(%RSP),%RDX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
MOV 0x398(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
MOV 0x2b8(%RSP),%RDI	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
MOV 0x390(%RSP),%RSI	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
NOPW %CS:(%RAX,%RAX,1)	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
TEST $0x3,%BL	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	2	0.20	N/A
JE 5a65 <main+0x21e5>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
MOV %RBX,%R10	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	scal (12.5%)
IMUL %R9,%R10	1	0	1	0	0	0	0	0	0	0	0	0	0	3	1	scal (12.5%)
ADD %R8,%R10	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (12.5%)
ADD %ECX,%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
MOV 0x1f0(%RSP),%R11	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
NOPL (%RAX,%RAX,1)	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
JMP 5a65 <main+0x21e5>	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2.08	N/A

Function	main
Source file and lines	attention_v2.cpp:27-33
Module	attention-clang-gnr512

The loop is defined in /home/eoseret/llm-attention/attention_v2.cpp:27-33.

Analyzed code is defined in /home/eoseret/llm-attention/attention_v2.cpp:27,30,33.

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=8
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 6.50 to 3.00 cycles (2.17x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vectorization

Details

Workaround

Try another compiler or update/tune your current one:
- recompile with ffast-math (included in Ofast) to extend loop vectorization to FP reductions.
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

Execution units bottlenecks

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

No data for this section

Complex instructions

Detected COMPLEX INSTRUCTIONS.

Details

These instructions generate more than one micro-operation and only one of them can be decoded during a cycle and the extra micro-operations increase pressure on execution units.

VCVTSD2SS: 1 occurrences►
- /home/eoseret/llm-attention/attention_v2.cpp:33

Conversion instructions

Detected expensive conversion instructions.

Details

VCVTSD2SS (FP64 to FP32, scalar): 1 occurrences►
- /home/eoseret/llm-attention/attention_v2.cpp:33

Workaround

Type of elements and instruction set

No instructions are processing arithmetic or math operations on FP elements. This loop is probably writing/copying data or processing integer elements.

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 77 bytes. The binary loop is storing 4 bytes.

General properties

nb instructions	38
nb uops	39
loop length	198
used x86 registers	11
used mmx registers	0
used xmm registers	1
used ymm registers	0
used zmm registers	0
nb stack references	10

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	3.70	3.60	3.67	3.67	0.50	3.60	3.50	0.50	0.50	0.50	3.60	3.67
cycles	3.70	3.60	3.67	3.67	0.50	3.60	3.50	0.50	0.50	0.50	3.60	3.67

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

Cycles summary

Front-end	6.50
Dispatch	3.70
Overall L1	6.50

Vectorization ratios

INT

all	0%
load	0%
store	NA (no store vectorizable/vectorized instructions)
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	50%
load	NA (no load vectorizable/vectorized instructions)
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	66%

INT+FP

all	13%
load	0%
store	0%
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	25%

Vector efficiency ratios

INT

all	11%
load	12%
store	NA (no store vectorizable/vectorized instructions)
mul	12%
add-sub	12%
fma	NA (no fma vectorizable/vectorized instructions)
other	11%

all	17%
load	NA (no load vectorizable/vectorized instructions)
store	6%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	20%

INT+FP

all	13%
load	12%
store	6%
mul	12%
add-sub	12%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	14%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 6.50 cycles. At this rate:

6% of peak load performance is reached (11.85 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.62 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

ASM code

In the binary file, the address of the loop is: 5a8d

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VCVTSD2SS %XMM0,%XMM0,%XMM0	2	0.50	0.50	0	0	0	1	0	0	0	0	0	0	5	1	scal (12.5%)
MOV 0x30(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
LEA (%RAX,%R8,1),%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1-2	0.20	N/A
MOV 0x90(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
VMOVSS %XMM0,(%RAX,%R9,4)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	1	0.50	scal (6.3%)
INC %R8	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
MOV 0x38(%RSP),%R9	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
CMP %R9,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (12.5%)
JE 5a15 <main+0x2195>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
CMP $0x3,%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (6.3%)
JBE 5ab0 <main+0x2230>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
MOV %R8D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADD 0xa8(%RSP),%R9D	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1	0.33	N/A
SETB %R9B	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	1	0.50	N/A
OR 0x2c0(%RSP),%R9B	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1-2	0.33	N/A
JE 7ef2 <main+0x4672>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
CMPQ $0x3,0xa8(%RSP)	1	0.20	0.20	0.33	0.33	0	0.20	0.20	0	0	0	0.20	0.33	1	0.33	scal (12.5%)
JAE 5ac7 <main+0x2247>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
XOR %R9D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
JMP 5b9a <main+0x231a>	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2.08	N/A
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
MOV %R8,%R10	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	scal (12.5%)
XOR %R9D,%R9D	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x250(%RSP),%RDX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
MOV 0x398(%RSP),%RAX	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	N/A
MOV 0x2b8(%RSP),%RDI	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
MOV 0x390(%RSP),%RSI	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
NOPW %CS:(%RAX,%RAX,1)	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
TEST $0x3,%BL	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	2	0.20	N/A
JE 5a65 <main+0x21e5>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A
MOV %RBX,%R10	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	scal (12.5%)
IMUL %R9,%R10	1	0	1	0	0	0	0	0	0	0	0	0	0	3	1	scal (12.5%)
ADD %R8,%R10	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	scal (12.5%)
ADD %ECX,%R9D	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
MOV 0x1f0(%RSP),%R11	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	1	0.33	scal (12.5%)
NOPL (%RAX,%RAX,1)	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
JMP 5a65 <main+0x21e5>	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2.08	N/A

Report Configuration

Code clean check

Workaround

Vectorization

Details

Workaround

Execution units bottlenecks

Complex instructions

Details

Conversion instructions

Details

Workaround

Type of elements and instruction set

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

Execution units bottlenecks

Complex instructions

Details

Conversion instructions

Details

Workaround

Type of elements and instruction set

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code