OV - exec - Loop 319

	Loop Id: 319	Module: exec	Source: revert.cpp:35-38 [...]	Coverage: 2.10%

0x42ad00 SUB	X4, X1, #1

0x42ad04 SDIV	X6, X1, X24

0x42ad08 ADD	W20, W25, W1

0x42ad0c SUBS	X3, X3, #2

0x42ad10 ADD	X1, X1, #2

0x42ad14 ADD	W7, W22, W6

0x42ad18 SDIV	X4, X4, X24

0x42ad1c ADD	W5, W22, W4

0x42ad20 SBFM	X7, X7, #0, #31

0x42ad24 SBFM	X5, X5, #0, #31

0x42ad28 MADD	X21, X9, X5, XZR

0x42ad2c ADD	X21, X8, X21,LSL #3

0x42ad30 MADD	W6, W2, W6, W20

0x42ad34 ADD	W6, W6, #1

0x42ad38 MADD	W4, W2, W4, W20

0x42ad3c MADD	X20, X9, X7, XZR

0x42ad40 ADD	X20, X8, X20,LSL #3

0x42ad44 LDR	D1, [X20, X6,SXTW #3]    [5]

0x42ad48 MADD	X20, X11, X5, XZR

0x42ad4c LDR	D0, [X21, X4,SXTW #3]    [8]

0x42ad50 MADD	X21, X11, X7, XZR

0x42ad54 ADD	X20, X10, X20,LSL #3

0x42ad58 ADD	X21, X10, X21,LSL #3

0x42ad5c STR	D0, [X20, X4,SXTW #3]    [4]

0x42ad60 STR	D1, [X21, X6,SXTW #3]    [7]

0x42ad64 MADD	X20, X13, X5, XZR

0x42ad68 MADD	X21, X13, X7, XZR

0x42ad6c MADD	X5, X15, X5, XZR

0x42ad70 MADD	X7, X15, X7, XZR

0x42ad74 ADD	X20, X12, X20,LSL #3

0x42ad78 ADD	X21, X12, X21,LSL #3

0x42ad7c ADD	X5, X14, X5,LSL #3

0x42ad80 ADD	X7, X14, X7,LSL #3

0x42ad84 LDR	D0, [X20, X4,SXTW #3]    [3]

0x42ad88 LDR	D1, [X21, X6,SXTW #3]    [6]

0x42ad8c STR	D0, [X5, X4,SXTW #3]    [1]

0x42ad90 STR	D1, [X7, X6,SXTW #3]    [2]

0x42ad94 B.NE	42ad00

/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/revert.cpp: 35 - 38

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

35:   for (int j = (y_min + 1); j < (y_max + 2); j++) {

36:     for (int i = (x_min + 1); i < (x_max + 2); i++) {

37:       density1(i, j) = density0(i, j);

38:       energy1(i, j) = energy0(i, j);

/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h: 69 - 69

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

69:   T &operator()(size_t i, size_t j) const { return data[i + j * sizeX]; }

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	4.50 - 15.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	2.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	3.33
Bottlenecks	P8, P10,
Function	revert_kernel(int, int, int, int, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone .omp_outlined]
Source	revert.cpp:35-38,context.h:69-69
Source loop unroll info	unrolled by 2
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	2
CQA cycles	12.00 - 40.00
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	12.00 - 40.00
CQA cycles if fully vectorized	6.00 - 20.00
Front-end cycles	4.75
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	3.50
P3 cycles	3.42
P4 cycles	3.33
P5 cycles	3.33
P6 cycles	12.00
P7 cycles	3.42
P8 cycles	2.00
P9 cycles	2.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	2.67
P13 cycles	2.67
P14 cycles	2.67
P15 cycles	0.00
P16 cycles	0.00
DIV/SQRT cycles	10.00 - 40.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	38.00
Nb uops	38.00
Nb loads	NA
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	0.00 - 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	1.60 - 5.33
Bytes prefetched	0.00
Bytes loaded	32.00
Bytes stored	32.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	8.00
Vectorization ratio all	0.00
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	50.00
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	50.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	50.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	NA

Metric	Value
CQA speedup if no scalar integer	4.50 - 15.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	2.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	3.33
Bottlenecks	P8, P10,
Function	revert_kernel(int, int, int, int, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone .omp_outlined]
Source	revert.cpp:35-38,context.h:69-69
Source loop unroll info	unrolled by 2
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	2
CQA cycles	12.00 - 40.00
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	12.00 - 40.00
CQA cycles if fully vectorized	6.00 - 20.00
Front-end cycles	4.75
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	3.50
P3 cycles	3.42
P4 cycles	3.33
P5 cycles	3.33
P6 cycles	12.00
P7 cycles	3.42
P8 cycles	2.00
P9 cycles	2.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	2.67
P13 cycles	2.67
P14 cycles	2.67
P15 cycles	0.00
P16 cycles	0.00
DIV/SQRT cycles	10.00 - 40.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	38.00
Nb uops	38.00
Nb loads	NA
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	0.00 - 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	1.60 - 5.33
Bytes prefetched	0.00
Bytes loaded	32.00
Bytes stored	32.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	8.00
Vectorization ratio all	0.00
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	50.00
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	50.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	50.00
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	revert_kernel(int, int, int, int, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone .omp_outlined]
Source file and lines	revert.cpp:35-38
Module	exec

The loop is defined in:

/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/revert.cpp:35-38
/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:69

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

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 40.00 to 2.67 cycles (15.00x speedup).

Workaround

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

Vectorization

Your loop is not vectorized. 2 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 40.00 to 20.00 cycles (2.00x speedup).

Details

All VPU 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
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)

No data for this section

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 32 bytes. The binary loop is storing 32 bytes.

General properties

nb instructions	38
loop length	152
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

4.75 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	3.50	3.42	3.33	3.33	12.00	3.42	2.00	2.00	0.00	0.00	2.67	2.67	2.67	0.00	0.00
cycles	0.50	0.50	3.50	3.42	3.33	3.33	12.00	3.42	2.00	2.00	0.00	0.00	2.67	2.67	2.67	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	10.00-40.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	4.75
Data deps.	1.00
Overall L1	12.00-40.00

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
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 40.00 cycles. At this rate:

0% of peak load performance is reached (0.80 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
1% of peak store performance is reached (0.80 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 42ad00

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P12	P13	P14	Latency	Recip. throughput	Vectorization
SUB X4, X1, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SDIV X6, X1, X24	1	0	0	0	0	0	0	1	0	0	0	0	0	0	5-20	5-20	N/A
ADD W20, W25, W1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SUBS X3, X3, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (50.0%)
ADD X1, X1, #2	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ADD W7, W22, W6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SDIV X4, X4, X24	1	0	0	0	0	0	0	1	0	0	0	0	0	0	5-20	5-20	N/A
ADD W5, W22, W4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SBFM X7, X7, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SBFM X5, X5, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD X21, X9, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X21, X8, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD W6, W2, W6, W20	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD W6, W6, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD W4, W2, W4, W20	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X20, X9, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X8, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDR D1, [X20, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
MADD X20, X11, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
LDR D0, [X21, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
MADD X21, X11, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X10, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X21, X10, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
STR D0, [X20, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
STR D1, [X21, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
MADD X20, X13, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X21, X13, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X5, X15, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X7, X15, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X12, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X21, X12, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X5, X14, X5,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X7, X14, X7,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDR D0, [X20, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
LDR D1, [X21, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
STR D0, [X5, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
STR D1, [X7, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
B.NE 42ad00 <_Z13revert_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_.omp_outlined+0x100>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	revert_kernel(int, int, int, int, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone .omp_outlined]
Source file and lines	revert.cpp:35-38
Module	exec

The loop is defined in:

/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/revert.cpp:35-38
/home/hbollore/qaas/qaas-runs/174-169-1878/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:69

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

gain
potential
hint
expert

Code clean check

Workaround

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

Vectorization

Details

All VPU 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
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)

No data for this section

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 32 bytes. The binary loop is storing 32 bytes.

General properties

nb instructions	38
loop length	152
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

4.75 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	3.50	3.42	3.33	3.33	12.00	3.42	2.00	2.00	0.00	0.00	2.67	2.67	2.67	0.00	0.00
cycles	0.50	0.50	3.50	3.42	3.33	3.33	12.00	3.42	2.00	2.00	0.00	0.00	2.67	2.67	2.67	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	10.00-40.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	4.75
Data deps.	1.00
Overall L1	12.00-40.00

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
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 40.00 cycles. At this rate:

0% of peak load performance is reached (0.80 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
1% of peak store performance is reached (0.80 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 42ad00

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P12	P13	P14	Latency	Recip. throughput	Vectorization
SUB X4, X1, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SDIV X6, X1, X24	1	0	0	0	0	0	0	1	0	0	0	0	0	0	5-20	5-20	N/A
ADD W20, W25, W1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SUBS X3, X3, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (50.0%)
ADD X1, X1, #2	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ADD W7, W22, W6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SDIV X4, X4, X24	1	0	0	0	0	0	0	1	0	0	0	0	0	0	5-20	5-20	N/A
ADD W5, W22, W4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SBFM X7, X7, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SBFM X5, X5, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD X21, X9, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X21, X8, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD W6, W2, W6, W20	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD W6, W6, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MADD W4, W2, W4, W20	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X20, X9, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X8, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDR D1, [X20, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
MADD X20, X11, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
LDR D0, [X21, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
MADD X21, X11, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X10, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X21, X10, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
STR D0, [X20, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
STR D1, [X21, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
MADD X20, X13, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X21, X13, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X5, X15, X5, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
MADD X7, X15, X7, XZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	N/A
ADD X20, X12, X20,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X21, X12, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X5, X14, X5,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X7, X14, X7,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDR D0, [X20, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
LDR D1, [X21, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (50.0%)
STR D0, [X5, X4,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
STR D1, [X7, X6,SXTW #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	2	0.50	scal (50.0%)
B.NE 42ad00 <_Z13revert_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_.omp_outlined+0x100>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Report Configuration

Code clean check

Workaround

Vectorization

Details

Workaround

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code