OV - exec - Loop 129

	Loop Id: 129	Module: exec	Source: solver_methods.cpp:71-72	Coverage: 0.01%

0x40a818 UBFM	X12, X0, #61, #60

0x40a81c LD1D	{Z2.D}, P0/Z, [X2, X0,LSL #3]    [7]

0x40a820 LD1D	{Z4.D}, P0/Z, [X23, X0,LSL #3]    [5]

0x40a824 LD1D	{Z5.D}, P0/Z, [X3, X0,LSL #3]    [10]

0x40a828 LD1D	{Z16.D}, P0/Z, [X5, X0,LSL #3]    [1]

0x40a82c ADD	X28, X2, X12

0x40a830 ADD	X12, X1, X12

0x40a834 LD1D	{Z1.D}, P0/Z, [X28, X20,LSL #3]    [9]

0x40a838 LD1D	{Z6.D}, P0/Z, [X12, X26,LSL #3]    [4]

0x40a83c FADD	Z7.D, Z4.D, Z5.D

0x40a840 FADD	Z3.D, Z1.D, Z2.D

0x40a844 FMUL	Z2.D, Z2.D, Z6.D

0x40a848 LD1D	{Z6.D}, P0/Z, [X12, X20,LSL #3]    [4]

0x40a84c FADD	Z3.D, P0/M, Z3.D, #1

0x40a850 FMAD	Z1.D, P0/M, Z6.D, Z2.D

0x40a854 FMUL	Z2.D, Z5.D, Z16.D

0x40a858 LD1D	{Z5.D}, P0/Z, [X1, X0,LSL #3]    [6]

0x40a85c LD1D	{Z6.D}, P0/Z, [X18, X0,LSL #3]    [8]

0x40a860 FADD	Z3.D, Z3.D, Z7.D

0x40a864 FMLA	Z2.D, P0/M, Z4.D, Z6.D

0x40a868 FNMLS	Z1.D, P0/M, Z3.D, Z5.D

0x40a86c FSUB	Z1.D, Z1.D, Z2.D

0x40a870 LD1D	{Z2.D}, P0/Z, [X16, X0,LSL #3]    [3]

0x40a874 FSUB	Z1.D, Z2.D, Z1.D

0x40a878 ST1D	{Z1.D}, P0, [X6, X0,LSL #3]    [2]

0x40a87c INCD	X0, ALL

0x40a880 CMP	X7, X0

0x40a884 B.NE	40a818

/home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/solver_methods.cpp: 71 - 72

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

71:       const double smvp = tealeaf_SMVP(u);

72:       r[index] = u0[index] - smvp;

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

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	1.05
Bottlenecks	P12,
Function	calculate_residual(int, int, int, double const, double const, double, double const, double const*) [clone .omp_outlined]
Source	solver_methods.cpp:71-72
Source loop unroll info	unrolled by 2
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	2
CQA cycles	3.83
CQA cycles if no scalar integer	3.83
CQA cycles if FP arith vectorized	3.83
CQA cycles if fully vectorized	3.83
Front-end cycles	3.50
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.83
P3 cycles	0.83
P4 cycles	0.83
P5 cycles	0.83
P6 cycles	0.83
P7 cycles	0.83
P8 cycles	3.00
P9 cycles	3.00
P10 cycles	3.00
P11 cycles	3.00
P12 cycles	3.83
P13 cycles	3.50
P14 cycles	3.67
P15 cycles	0.00
P16 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	2
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	28.00
Nb uops	28.00
Nb loads	NA
Nb stores	1.00
Nb stack references	0.00
FLOP/cycle	7.30
Nb FLOP add-sub	12.00
Nb FLOP mul	4.00
Nb FLOP fma	6.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	45.91
Bytes prefetched	0.00
Bytes loaded	160.00
Bytes stored	16.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	2.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
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	100.00
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	100.00
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	1.05
Bottlenecks	P12,
Function	calculate_residual(int, int, int, double const, double const, double, double const, double const*) [clone .omp_outlined]
Source	solver_methods.cpp:71-72
Source loop unroll info	unrolled by 2
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	2
CQA cycles	3.83
CQA cycles if no scalar integer	3.83
CQA cycles if FP arith vectorized	3.83
CQA cycles if fully vectorized	3.83
Front-end cycles	3.50
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.83
P3 cycles	0.83
P4 cycles	0.83
P5 cycles	0.83
P6 cycles	0.83
P7 cycles	0.83
P8 cycles	3.00
P9 cycles	3.00
P10 cycles	3.00
P11 cycles	3.00
P12 cycles	3.83
P13 cycles	3.50
P14 cycles	3.67
P15 cycles	0.00
P16 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	2
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	28.00
Nb uops	28.00
Nb loads	NA
Nb stores	1.00
Nb stack references	0.00
FLOP/cycle	7.30
Nb FLOP add-sub	12.00
Nb FLOP mul	4.00
Nb FLOP fma	6.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	45.91
Bytes prefetched	0.00
Bytes loaded	160.00
Bytes stored	16.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	2.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
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	100.00
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	100.00
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	calculate_residual(int, int, int, double const, double const, double, double const, double const*) [clone .omp_outlined]
Source file and lines	solver_methods.cpp:71-72
Module	exec

The loop is defined in /home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/solver_methods.cpp:71-72.

The related source loop is unrolled by 2 (including vectorization).

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

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

FMA

Detected 6 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).

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

The binary loop is composed of 28 FP arithmetical operations:

18: addition or subtraction (6 inside FMA instructions)
10: multiply (6 inside FMA instructions)

The binary loop is loading 160 bytes. The binary loop is storing 16 bytes.

Arithmetic intensity

Arithmetic intensity is 0.16 FP operations per loaded or stored byte.

General properties

nb instructions	28
loop length	112
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

3.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	0.50	0.50	0.83	0.83	0.83	0.83	0.83	0.83	3.00	3.00	3.00	3.00	3.83	3.50	3.67	0.00	0.00
cycles	0.50	0.50	0.83	0.83	0.83	0.83	0.83	0.83	3.00	3.00	3.00	3.00	3.83	3.50	3.67	0.00	0.00

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6: ALU
P7: ALU
P8 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P9 (128 bits): VPU, ALU, FP store data
P10 (128 bits): VPU, ALU, DIV/SQRT
P11 (128 bits): ALU, VPU
P12 (256 bits): store address, load
P13 (256 bits): store address, load
P14 (256 bits): load
P15 (64 bits): store data
P16 (64 bits): store data

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	2.00

Cycles summary

Front-end	3.50
Data deps.	2.00
Overall L1	3.83

Vectorization ratios

INT

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

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

INT+FP

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
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 3.83 cycles. At this rate:

43% of peak load performance is reached (41.74 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
8% of peak store performance is reached (4.17 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 40a818

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
UBFM X12, X0, #61, #60	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
LD1D {Z2.D}, P0/Z, [X2, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z4.D}, P0/Z, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X3, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z16.D}, P0/Z, [X5, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
ADD X28, X2, X12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
ADD X12, X1, X12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
LD1D {Z1.D}, P0/Z, [X28, X20,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X12, X26,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z7.D, Z4.D, Z5.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FADD Z3.D, Z1.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMUL Z2.D, Z2.D, Z6.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X12, X20,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z3.D, P0/M, Z3.D, #1	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMAD Z1.D, P0/M, Z6.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FMUL Z2.D, Z5.D, Z16.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X1, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X18, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z3.D, Z3.D, Z7.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMLA Z2.D, P0/M, Z4.D, Z6.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FNMLS Z1.D, P0/M, Z3.D, Z5.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FSUB Z1.D, Z1.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
LD1D {Z2.D}, P0/Z, [X16, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FSUB Z1.D, Z2.D, Z1.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
ST1D {Z1.D}, P0, [X6, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (100.0%)
INCD X0, ALL	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
CMP X7, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	N/A
B.NE 40a818 <_Z18calculate_residualiiiPKdS0_PdS0_S0_.omp_outlined+0x3e4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	calculate_residual(int, int, int, double const, double const, double, double const, double const*) [clone .omp_outlined]
Source file and lines	solver_methods.cpp:71-72
Module	exec

The loop is defined in /home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/solver_methods.cpp:71-72.

The related source loop is unrolled by 2 (including vectorization).

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

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

FMA

Detected 6 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

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

The binary loop is composed of 28 FP arithmetical operations:

18: addition or subtraction (6 inside FMA instructions)
10: multiply (6 inside FMA instructions)

The binary loop is loading 160 bytes. The binary loop is storing 16 bytes.

Arithmetic intensity

Arithmetic intensity is 0.16 FP operations per loaded or stored byte.

General properties

nb instructions	28
loop length	112
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

3.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	0.50	0.50	0.83	0.83	0.83	0.83	0.83	0.83	3.00	3.00	3.00	3.00	3.83	3.50	3.67	0.00	0.00
cycles	0.50	0.50	0.83	0.83	0.83	0.83	0.83	0.83	3.00	3.00	3.00	3.00	3.83	3.50	3.67	0.00	0.00

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6: ALU
P7: ALU
P8 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P9 (128 bits): VPU, ALU, FP store data
P10 (128 bits): VPU, ALU, DIV/SQRT
P11 (128 bits): ALU, VPU
P12 (256 bits): store address, load
P13 (256 bits): store address, load
P14 (256 bits): load
P15 (64 bits): store data
P16 (64 bits): store data

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	2.00

Cycles summary

Front-end	3.50
Data deps.	2.00
Overall L1	3.83

Vectorization ratios

INT

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

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

INT+FP

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
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 3.83 cycles. At this rate:

43% of peak load performance is reached (41.74 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
8% of peak store performance is reached (4.17 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 40a818

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
UBFM X12, X0, #61, #60	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
LD1D {Z2.D}, P0/Z, [X2, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z4.D}, P0/Z, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X3, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z16.D}, P0/Z, [X5, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
ADD X28, X2, X12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
ADD X12, X1, X12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	1	0.17	N/A
LD1D {Z1.D}, P0/Z, [X28, X20,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X12, X26,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z7.D, Z4.D, Z5.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FADD Z3.D, Z1.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMUL Z2.D, Z2.D, Z6.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X12, X20,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z3.D, P0/M, Z3.D, #1	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMAD Z1.D, P0/M, Z6.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FMUL Z2.D, Z5.D, Z16.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X1, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X18, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FADD Z3.D, Z3.D, Z7.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
FMLA Z2.D, P0/M, Z4.D, Z6.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FNMLS Z1.D, P0/M, Z3.D, Z5.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (100.0%)
FSUB Z1.D, Z1.D, Z2.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
LD1D {Z2.D}, P0/Z, [X16, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (100.0%)
FSUB Z1.D, Z2.D, Z1.D	1	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (100.0%)
ST1D {Z1.D}, P0, [X6, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (100.0%)
INCD X0, ALL	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
CMP X7, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	N/A
B.NE 40a818 <_Z18calculate_residualiiiPKdS0_PdS0_S0_.omp_outlined+0x3e4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Report Configuration

Vectorization

Details

FMA

Workaround

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

Arithmetic intensity

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code

Vectorization

Details

FMA

Workaround

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

Arithmetic intensity

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code