OV - - Loop 3

	Loop Id: 3	Module: exec	Source: Step10_orig.c:19-35 [...]	Coverage: 28.32%

0x2021e0 VMOVSS	%XMM0,-0x50(%RBP)    [3]

0x2021e5 VADDSS	-0x38(%RBP),%XMM2,%XMM0    [3]

0x2021ea VMOVSD	-0x18d2(%RIP),%XMM1    [2]

0x2021f2 VMOVSS	%XMM2,-0x4c(%RBP)    [3]

0x2021f7 VCVTSS2SD	%XMM0,%XMM0,%XMM0

0x2021fb CALL	2025e0 <@plt_start@+0x90>

0x202200 VMOVSS	-0x4c(%RBP),%XMM2    [3]

0x202205 VMOVSS	-0x1935(%RIP),%XMM1    [2]

0x20220d ADD	$0x4,%R12

0x202211 VFMADD213SS	-0x1932(%RIP),%XMM2,%XMM1    [2]

0x20221a VFMADD213SS	-0x1937(%RIP),%XMM2,%XMM1    [2]

0x202223 VFMADD213SS	-0x194c(%RIP),%XMM2,%XMM1    [2]

0x20222c VFMADD213SS	-0x1965(%RIP),%XMM2,%XMM1    [2]

0x202235 VFMADD213SS	-0x195a(%RIP),%XMM2,%XMM1    [2]

0x20223e VCVTSS2SD	%XMM1,%XMM1,%XMM1

0x202242 VSUBSD	%XMM1,%XMM0,%XMM0

0x202246 VCVTSD2SS	%XMM0,%XMM0,%XMM0

0x20224a VMULSS	-0x50(%RBP),%XMM0,%XMM0    [3]

0x20224f VCMPSS	$0xe,-0x197e(%RIP),%XMM2,%K1    [2]

0x20225a VMOVSS	-0x60(%RBP),%XMM3    [3]

0x20225f VMOVSS	-0x64(%RBP),%XMM2    [3]

0x202264 VMOVSS	-0x68(%RBP),%XMM1    [3]

0x202269 VMOVSS	%XMM0,%XMM0,%XMM0{%K1}{z}

0x20226f VFMADD231SS	-0x5c(%RBP),%XMM0,%XMM3    [3]

0x202275 VFMADD231SS	-0x58(%RBP),%XMM0,%XMM2    [3]

0x20227b VFMADD231SS	-0x54(%RBP),%XMM0,%XMM1    [3]

0x202281 CMP	%R12,%RBX

0x202284 JE	202120

0x20228a VMOVSS	0x204870(%R12),%XMM0    [1]

0x202294 VMOVSS	%XMM1,-0x68(%RBP)    [3]

0x202299 VMOVSS	%XMM2,-0x64(%RBP)    [3]

0x20229e VMOVSS	%XMM3,-0x60(%RBP)    [3]

0x2022a3 VSUBSS	-0x48(%RBP),%XMM0,%XMM1    [3]

0x2022a8 VMOVSS	0x2662f0(%R12),%XMM0    [1]

0x2022b2 VSUBSS	-0x44(%RBP),%XMM0,%XMM2    [3]

0x2022b7 VMOVSS	0x2c7d70(%R12),%XMM0    [1]

0x2022c1 VSUBSS	-0x40(%RBP),%XMM0,%XMM0    [3]

0x2022c6 VMOVSS	%XMM1,-0x5c(%RBP)    [3]

0x2022cb VMOVSS	%XMM2,-0x58(%RBP)    [3]

0x2022d0 VMULSS	%XMM2,%XMM2,%XMM2

0x2022d4 VMOVSS	%XMM0,-0x54(%RBP)    [3]

0x2022d9 VFMADD231SS	%XMM1,%XMM1,%XMM2

0x2022de VFMADD231SS	%XMM0,%XMM0,%XMM2

0x2022e3 VMOVSS	-0x3c(%RBP),%XMM0    [3]

0x2022e8 VUCOMISS	%XMM2,%XMM0

0x2022ec VXORPS	%XMM0,%XMM0,%XMM0

0x2022f0 JBE	2021e0

0x2022f6 VMOVSS	0x3297f0(%R12),%XMM0    [1]

0x202300 JMP	2021e0

/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/main.c: 142 - 142

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

142:         Step10_orig( n, xx[i], yy[i], zz[i], fsrrmax2, mp_rsm2, xx, yy, zz, mass, &dx1, &dy1, &dz1 );

/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c: 19 - 35

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

19:     for ( j = 0; j < count1; j++ )

20:     {

21:         dxc = xx1[j] - xxi;

22:         dyc = yy1[j] - yyi;

23:         dzc = zz1[j] - zzi;

24:

25:         r2 = dxc * dxc + dyc * dyc + dzc * dzc;

26:

27:         m = ( r2 < fsrrmax2 ) ? mass1[j] : 0.0f;

28:

29:         f =  pow( r2 + mp_rsm2, -1.5 ) - ( ma0 + r2*(ma1 + r2*(ma2 + r2*(ma3 + r2*(ma4 + r2*ma5)))));

30:

31:         f = ( r2 > 0.0f ) ? m * f : 0.0f;

32:

33:         xi = xi + f * dxc;

34:         yi = yi + f * dyc;

35:         zi = zi + f * dzc;

Coverage (%)	Name	Source Location	Module
►100.00+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so

Path /

Metric	Value
CQA speedup if no scalar integer	1.03
CQA speedup if FP arith vectorized	1.03
CQA speedup if fully vectorized	8.93
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.31
Bottlenecks
Function	.omp_outlined..6
Source	main.c:142-142,Step10_orig.c:19-35
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	11.17
CQA cycles if no scalar integer	10.83
CQA cycles if FP arith vectorized	10.85
CQA cycles if fully vectorized	1.25
Front-end cycles	8.50
P0 cycles	1.75
P1 cycles	0.75
P2 cycles	0.75
P3 cycles	0.50
P4 cycles	1.75
P5 cycles	11.17
P6 cycles	11.17
P7 cycles	11.17
P8 cycles	6.50
P9 cycles	6.50
P10 cycles	5.00
P11 cycles	5.00
P12 cycles	4.50
P13 cycles	4.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	48.00
Nb uops	51.00
Nb loads	24.50
Nb stores	8.00
Nb stack references	13.00
FLOP/cycle	2.42
Nb FLOP add-sub	5.00
Nb FLOP mul	2.00
Nb FLOP fma	10.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	12.00
Bytes prefetched	0.00
Bytes loaded	102.00
Bytes stored	32.00
Stride 0	2.00
Stride 1	0.00
Stride n	1.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	2.35
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	14.29
Vector-efficiency ratio all	7.13
Vector-efficiency ratio load	6.51
Vector-efficiency ratio store	6.25
Vector-efficiency ratio mul	6.25
Vector-efficiency ratio add_sub	7.50
Vector-efficiency ratio fma	6.25
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	9.82

Metric	Value
CQA speedup if no scalar integer	1.03
CQA speedup if FP arith vectorized	1.03
CQA speedup if fully vectorized	8.92
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.31
Bottlenecks	P5, P6, P7,
Function	.omp_outlined..6
Source	main.c:142-142,Step10_orig.c:19-35
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	11.33
CQA cycles if no scalar integer	11.00
CQA cycles if FP arith vectorized	11.02
CQA cycles if fully vectorized	1.27
Front-end cycles	8.67
P0 cycles	2.00
P1 cycles	0.75
P2 cycles	0.75
P3 cycles	0.50
P4 cycles	2.00
P5 cycles	11.33
P6 cycles	11.33
P7 cycles	11.33
P8 cycles	6.50
P9 cycles	6.50
P10 cycles	5.00
P11 cycles	5.00
P12 cycles	4.50
P13 cycles	4.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	49.00
Nb uops	52.00
Nb loads	25.00
Nb stores	8.00
Nb stack references	13.00
FLOP/cycle	2.38
Nb FLOP add-sub	5.00
Nb FLOP mul	2.00
Nb FLOP fma	10.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	12.00
Bytes prefetched	0.00
Bytes loaded	104.00
Bytes stored	32.00
Stride 0	2.00
Stride 1	0.00
Stride n	1.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	2.33
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	14.29
Vector-efficiency ratio all	7.12
Vector-efficiency ratio load	6.50
Vector-efficiency ratio store	6.25
Vector-efficiency ratio mul	6.25
Vector-efficiency ratio add_sub	7.50
Vector-efficiency ratio fma	6.25
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	9.82

Metric	Value
CQA speedup if no scalar integer	1.03
CQA speedup if FP arith vectorized	1.03
CQA speedup if fully vectorized	8.95
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.32
Bottlenecks	P5, P6, P7,
Function	.omp_outlined..6
Source	main.c:142-142,Step10_orig.c:19-35
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	11.00
CQA cycles if no scalar integer	10.67
CQA cycles if FP arith vectorized	10.69
CQA cycles if fully vectorized	1.23
Front-end cycles	8.33
P0 cycles	1.50
P1 cycles	0.75
P2 cycles	0.75
P3 cycles	0.50
P4 cycles	1.50
P5 cycles	11.00
P6 cycles	11.00
P7 cycles	11.00
P8 cycles	6.50
P9 cycles	6.50
P10 cycles	5.00
P11 cycles	5.00
P12 cycles	4.50
P13 cycles	4.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	47.00
Nb uops	50.00
Nb loads	24.00
Nb stores	8.00
Nb stack references	13.00
FLOP/cycle	2.45
Nb FLOP add-sub	5.00
Nb FLOP mul	2.00
Nb FLOP fma	10.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	12.00
Bytes prefetched	0.00
Bytes loaded	100.00
Bytes stored	32.00
Stride 0	2.00
Stride 1	0.00
Stride n	1.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	2.38
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	14.29
Vector-efficiency ratio all	7.14
Vector-efficiency ratio load	6.51
Vector-efficiency ratio store	6.25
Vector-efficiency ratio mul	6.25
Vector-efficiency ratio add_sub	7.50
Vector-efficiency ratio fma	6.25
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	9.82

Path /

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

Function	.omp_outlined..6
Source file and lines	Step10_orig.c:19-35
Module	exec

The loop is defined in:

/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/main.c:142
/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:19-35

The related source loop is not unrolled or unrolled with no peel/tail loop.
The structure of this loop is probably <if then [else] end>.

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

Vectorization

Your loop is probably not vectorized. Only 7% 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 11.17 to 1.25 cycles (8.93x 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)

Masked instructions

Detected masked instructions.

Details

Vector registers are partially exploited, which is expected if your loop is irregular or mixes elements of different sizes.

Workaround

If your loop is irregular, try to remove or hoist conditional structures out of your loop. If it mixes elements of different sizes, try to uniformize them.

FMA

Detected 10 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Try to change order in which elements are evaluated (using parentheses) in arithmetic expressions containing both ADD/SUB and MUL operations to enable your compiler to generate FMA instructions wherever possible. For instance a + b*c is a valid FMA (MUL then ADD). However (a+b)* c cannot be translated into an FMA (ADD then MUL).

CALL instructions

Detected function call instructions.

Details

Calling (and then returning from) a function prevents many compiler optimizations (like vectorization), breaks control flow (which reduces pipeline performance) and executes extra instructions to save/restore the registers used inside it, which is very expensive (dozens of cycles). Consider to inline small functions.

unknown: 1 occurrences

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.

VCMPSS: 1 occurrences
VUCOMISS: 1 occurrences

Conversion instructions

Detected expensive conversion instructions.

Details

VCVTSD2SS (FP64 to FP32, scalar): 1 occurrences
VCVTSS2SD (FP32 to FP64, scalar): 2 occurrences

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. Usual math.h functions are double precision and their name needs to be suffixed with 'f' to use their single precision version which is faster and avoids type conversion. For instance, on single precision elements, call expf instead of exp.

Type of elements and instruction set

18 SSE or AVX instructions are processing arithmetic or math operations on single precision FP elements in scalar mode (one at a time). 1 SSE or AVX instructions are processing arithmetic or math operations on double precision FP elements in scalar mode (one at a time).

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

The binary loop is composed of 27 FP arithmetical operations:

15: addition or subtraction (10 inside FMA instructions)
12: multiply (10 inside FMA instructions)

The binary loop is loading 102 bytes (25 single precision FP elements). The binary loop is storing 32 bytes (8 single precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.20 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 with the unroll (resp. unroll_and_jam) directive on top of the inner (resp. surrounding) loop. You can enforce an unroll factor: #pragma unroll_and_jam N, unroll_and_jam(N), unroll N or unroll(N)

General properties

nb instructions	48
nb uops	51
loop length	285.50
used x86 registers	3
used mmx registers	0
used xmm registers	4
used ymm registers	0
used zmm registers	0
nb stack references	13
ADD-SUB / MUL ratio	2.50

Front-end

MACRO FUSION NOT POSSIBLE

micro-operation queue	8.50 cycles
front end	8.50 cycles

Back-end

	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5
uops	1.75	0.75	0.75	0.50	1.75	11.17	11.17	11.17	6.50	6.50	5.00	5.00	4.50	4.50
cycles	1.75	0.75	0.75	0.50	1.75	11.17	11.17	11.17	6.50	6.50	5.00	5.00	4.50	4.50

Execution ports to units layout:

ALU0/BRU0: ALU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1:
AGU0 (256 bits): store address, load
AGU1 (256 bits): store address, load
AGU2 (256 bits): store address, load
FP0 (256 bits): VPU, DIV/SQRT
FP1 (256 bits): VPU, DIV/SQRT
FP2 (256 bits): VPU
FP3 (256 bits): VPU
FP4 (256 bits): FP store data
FP5 (256 bits): FP store data

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	8.50
Dispatch	11.17
Data deps.	0.00
Overall L1	11.17

Vectorization ratios

all	2%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	14%

Vector efficiency ratios

all	7%
load	6%
store	6%
mul	6%
add-sub	7%
fma	6%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	9%

Cycles and memory resources usage

Detected masked instructions: assuming all mask elements are active. Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.17 cycles. At this rate:

9% of peak load performance is reached (9.13 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
4% of peak store performance is reached (2.87 out of 64.00 bytes stored per cycle (GB/s @ 1GHz))

Function	.omp_outlined..6
Source file and lines	Step10_orig.c:19-35
Module	exec

The loop is defined in:

/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/main.c:142
/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:19-35

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

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

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 11.33 to 8.67 cycles (1.31x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

Masked instructions

Detected masked instructions.

Details

Vector registers are partially exploited, which is expected if your loop is irregular or mixes elements of different sizes.

Workaround

If your loop is irregular, try to remove or hoist conditional structures out of your loop. If it mixes elements of different sizes, try to uniformize them.

FMA

Detected 10 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

CALL instructions

Detected function call instructions.

Details

unknown: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29

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.

VCMPSS: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:31
VUCOMISS: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:27

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant non-unit stride: 1 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

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

Conversion instructions

Detected expensive conversion instructions.

Details

VCVTSD2SS (FP64 to FP32, scalar): 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29
VCVTSS2SD (FP32 to FP64, scalar): 2 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29

Workaround

Type of elements and instruction set

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

The binary loop is composed of 27 FP arithmetical operations:

15: addition or subtraction (10 inside FMA instructions)
12: multiply (10 inside FMA instructions)

The binary loop is loading 104 bytes (26 single precision FP elements). The binary loop is storing 32 bytes (8 single precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.20 FP operations per loaded or stored byte.

Unroll opportunity

Loop is data access bound.

Workaround

General properties

nb instructions	49
nb uops	52
loop length	293
used x86 registers	3
used mmx registers	0
used xmm registers	4
used ymm registers	0
used zmm registers	0
nb stack references	13
ADD-SUB / MUL ratio	2.50

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	8.67 cycles
front end	8.67 cycles

Back-end

	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5
uops	2.00	0.75	0.75	0.50	2.00	11.33	11.33	11.33	6.50	6.50	5.00	5.00	4.50	4.50
cycles	2.00	0.75	0.75	0.50	2.00	11.33	11.33	11.33	6.50	6.50	5.00	5.00	4.50	4.50

Execution ports to units layout:

ALU0/BRU0: ALU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1:
AGU0 (256 bits): store address, load
AGU1 (256 bits): store address, load
AGU2 (256 bits): store address, load
FP0 (256 bits): VPU, DIV/SQRT
FP1 (256 bits): VPU, DIV/SQRT
FP2 (256 bits): VPU
FP3 (256 bits): VPU
FP4 (256 bits): FP store data
FP5 (256 bits): FP store data

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	8.67
Dispatch	11.33
Data deps.	0.00
Overall L1	11.33

Vectorization ratios

all	2%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	14%

Vector efficiency ratios

all	7%
load	6%
store	6%
mul	6%
add-sub	7%
fma	6%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	9%

Cycles and memory resources usage

Detected masked instructions: assuming all mask elements are active. Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.33 cycles. At this rate:

9% of peak load performance is reached (9.18 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
4% of peak store performance is reached (2.82 out of 64.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 20228a

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5	Latency	Recip. throughput	Vectorization
VMOVSS %XMM0,-0x50(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VADDSS -0x38(%RBP),%XMM2,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSD -0x18d2(%RIP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (12.5%)
VMOVSS %XMM2,-0x4c(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VCVTSS2SD %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
CALL 2025e0 <@plt_start@+0x90>	2	0.50	0	0	0	0.50	0.33	0.33	0.33	0	0	0	0	0	0	0	0.50	N/A
VMOVSS -0x4c(%RBP),%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x1935(%RIP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
ADD $0x4,%R12	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	0	1	0.25	N/A
VFMADD213SS -0x1932(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x1937(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x194c(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x1965(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x195a(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VCVTSS2SD %XMM1,%XMM1,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VSUBSD %XMM1,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (12.5%)
VCVTSD2SS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (12.5%)
VMULSS -0x50(%RBP),%XMM0,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VCMPSS $0xe,-0x197e(%RIP),%XMM2,%K1	2	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VMOVSS -0x60(%RBP),%XMM3	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x64(%RBP),%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x68(%RBP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS %XMM0,%XMM0,%XMM0{%K1}{z}	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (6.3%)
VFMADD231SS -0x5c(%RBP),%XMM0,%XMM3	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS -0x58(%RBP),%XMM0,%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS -0x54(%RBP),%XMM0,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
CMP %R12,%RBX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	0	1	0.25	N/A
JE 202120 <.omp_outlined..6+0xb0>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A
VMOVSS 0x204870(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS %XMM1,-0x68(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM2,-0x64(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM3,-0x60(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VSUBSS -0x48(%RBP),%XMM0,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS 0x2662f0(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VSUBSS -0x44(%RBP),%XMM0,%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS 0x2c7d70(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VSUBSS -0x40(%RBP),%XMM0,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS %XMM1,-0x5c(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM2,-0x58(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMULSS %XMM2,%XMM2,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VMOVSS %XMM0,-0x54(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VFMADD231SS %XMM1,%XMM1,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS %XMM0,%XMM0,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VMOVSS -0x3c(%RBP),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VUCOMISS %XMM2,%XMM0	2	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	6	1	scal (6.3%)
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
JBE 2021e0 <.omp_outlined..6+0x170>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A
VMOVSS 0x3297f0(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
JMP 2021e0 <.omp_outlined..6+0x170>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	0	0	0	1	N/A

Function	.omp_outlined..6
Source file and lines	Step10_orig.c:19-35
Module	exec

The loop is defined in:

/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/main.c:142
/home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:19-35

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

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

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 11.00 to 8.33 cycles (1.32x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

Masked instructions

Detected masked instructions.

Details

Vector registers are partially exploited, which is expected if your loop is irregular or mixes elements of different sizes.

Workaround

If your loop is irregular, try to remove or hoist conditional structures out of your loop. If it mixes elements of different sizes, try to uniformize them.

FMA

Detected 10 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

CALL instructions

Detected function call instructions.

Details

unknown: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29

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.

VCMPSS: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:31
VUCOMISS: 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:27

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant non-unit stride: 1 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

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

Conversion instructions

Detected expensive conversion instructions.

Details

VCVTSD2SS (FP64 to FP32, scalar): 1 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29
VCVTSS2SD (FP32 to FP64, scalar): 2 occurrences►
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29
- /home/eoseret/qaas_runs_CPU_9468/172-289-8348/intel/HACCmk/build/HACCmk/src/Step10_orig.c:29

Workaround

Type of elements and instruction set

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

The binary loop is composed of 27 FP arithmetical operations:

15: addition or subtraction (10 inside FMA instructions)
12: multiply (10 inside FMA instructions)

The binary loop is loading 100 bytes (25 single precision FP elements). The binary loop is storing 32 bytes (8 single precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.20 FP operations per loaded or stored byte.

Unroll opportunity

Loop is data access bound.

Workaround

General properties

nb instructions	47
nb uops	50
loop length	278
used x86 registers	3
used mmx registers	0
used xmm registers	4
used ymm registers	0
used zmm registers	0
nb stack references	13
ADD-SUB / MUL ratio	2.50

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	8.33 cycles
front end	8.33 cycles

Back-end

	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5
uops	1.50	0.75	0.75	0.50	1.50	11.00	11.00	11.00	6.50	6.50	5.00	5.00	4.50	4.50
cycles	1.50	0.75	0.75	0.50	1.50	11.00	11.00	11.00	6.50	6.50	5.00	5.00	4.50	4.50

Execution ports to units layout:

ALU0/BRU0: ALU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1:
AGU0 (256 bits): store address, load
AGU1 (256 bits): store address, load
AGU2 (256 bits): store address, load
FP0 (256 bits): VPU, DIV/SQRT
FP1 (256 bits): VPU, DIV/SQRT
FP2 (256 bits): VPU
FP3 (256 bits): VPU
FP4 (256 bits): FP store data
FP5 (256 bits): FP store data

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	8.33
Dispatch	11.00
Data deps.	0.00
Overall L1	11.00

Vectorization ratios

all	2%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	14%

Vector efficiency ratios

all	7%
load	6%
store	6%
mul	6%
add-sub	7%
fma	6%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	9%

Cycles and memory resources usage

Detected masked instructions: assuming all mask elements are active. Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.00 cycles. At this rate:

9% of peak load performance is reached (9.09 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
4% of peak store performance is reached (2.91 out of 64.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 20228a

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5	Latency	Recip. throughput	Vectorization
VMOVSS %XMM0,-0x50(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VADDSS -0x38(%RBP),%XMM2,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSD -0x18d2(%RIP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (12.5%)
VMOVSS %XMM2,-0x4c(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VCVTSS2SD %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
CALL 2025e0 <@plt_start@+0x90>	2	0.50	0	0	0	0.50	0.33	0.33	0.33	0	0	0	0	0	0	0	0.50	N/A
VMOVSS -0x4c(%RBP),%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x1935(%RIP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
ADD $0x4,%R12	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	0	1	0.25	N/A
VFMADD213SS -0x1932(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x1937(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x194c(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x1965(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD213SS -0x195a(%RIP),%XMM2,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VCVTSS2SD %XMM1,%XMM1,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VSUBSD %XMM1,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (12.5%)
VCVTSD2SS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	scal (12.5%)
VMULSS -0x50(%RBP),%XMM0,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VCMPSS $0xe,-0x197e(%RIP),%XMM2,%K1	2	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VMOVSS -0x60(%RBP),%XMM3	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x64(%RBP),%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS -0x68(%RBP),%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS %XMM0,%XMM0,%XMM0{%K1}{z}	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (6.3%)
VFMADD231SS -0x5c(%RBP),%XMM0,%XMM3	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS -0x58(%RBP),%XMM0,%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS -0x54(%RBP),%XMM0,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
CMP %R12,%RBX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	0	1	0.25	N/A
JE 202120 <.omp_outlined..6+0xb0>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A
VMOVSS 0x204870(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VMOVSS %XMM1,-0x68(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM2,-0x64(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM3,-0x60(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VSUBSS -0x48(%RBP),%XMM0,%XMM1	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS 0x2662f0(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VSUBSS -0x44(%RBP),%XMM0,%XMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS 0x2c7d70(%R12),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VSUBSS -0x40(%RBP),%XMM0,%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0.50	0.50	0	0	3	0.50	scal (6.3%)
VMOVSS %XMM1,-0x5c(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMOVSS %XMM2,-0x58(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VMULSS %XMM2,%XMM2,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	scal (6.3%)
VMOVSS %XMM0,-0x54(%RBP)	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0.50	0.50	1	1	scal (6.3%)
VFMADD231SS %XMM1,%XMM1,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VFMADD231SS %XMM0,%XMM0,%XMM2	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	scal (6.3%)
VMOVSS -0x3c(%RBP),%XMM0	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50	scal (6.3%)
VUCOMISS %XMM2,%XMM0	2	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	6	1	scal (6.3%)
VXORPS %XMM0,%XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
JBE 2021e0 <.omp_outlined..6+0x170>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A

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