OV - exec - Loop 3596

	Loop Id: 3596	Module: exec	Source: IJMatrix_parcsr.c:3383-3484 [...]	Coverage: 0.06%

0x51f6c8 LDR	X1, [X28, X21,LSL #3]

0x51f6cc CMP	X8, X1

0x51f6d0 CCMP	X7, X1, #1, #13

0x51f6d4 B.GE	51f89c

0x51f6d8 LDR	X0, [X11, X13]

0x51f6dc CMP	X2, X0

0x51f6e0 B.LE	51f834

0x51f6e4 SUB	X25, X2, X0

0x51f6e8 ANDS	X25, X25, #4224

0x51f6ec B.EQ	51f798

0x51f6f0 CMP	X25, #1

0x51f6f4 B.EQ	51f780

0x51f6f8 CMP	X25, #2

0x51f6fc B.EQ	51f770

0x51f700 CMP	X25, #3

0x51f704 B.EQ	51f760

0x51f708 CMP	X25, #4

0x51f70c B.EQ	51f750

0x51f710 CMP	X25, #5

0x51f714 B.EQ	51f740

0x51f718 CMP	X25, #6

0x51f71c B.EQ	51f730

0x51f720 LDR	X25, [X23, X0,LSL #3]

0x51f724 CMP	X1, X25

0x51f728 B.EQ	51fd38

0x51f72c ADD	X0, X0, #1

0x51f730 LDR	X25, [X23, X0,LSL #3]

0x51f734 CMP	X1, X25

0x51f738 B.EQ	51fd38

0x51f73c ADD	X0, X0, #1

0x51f740 LDR	X25, [X23, X0,LSL #3]

0x51f744 CMP	X1, X25

0x51f748 B.EQ	51fd38

0x51f74c ADD	X0, X0, #1

0x51f750 LDR	X25, [X23, X0,LSL #3]

0x51f754 CMP	X1, X25

0x51f758 B.EQ	51fd38

0x51f75c ADD	X0, X0, #1

0x51f760 LDR	X25, [X23, X0,LSL #3]

0x51f764 CMP	X1, X25

0x51f768 B.EQ	51fd38

0x51f76c ADD	X0, X0, #1

0x51f770 LDR	X25, [X23, X0,LSL #3]

0x51f774 CMP	X1, X25

0x51f778 B.EQ	51fd38

0x51f77c ADD	X0, X0, #1

0x51f780 LDR	X25, [X23, X0,LSL #3]

0x51f784 CMP	X1, X25

0x51f788 B.EQ	51fd38

0x51f78c ADD	X0, X0, #1

0x51f790 CMP	X2, X0

0x51f794 B.EQ	51f834

0x51f798 ORR	X25, XZR, X9

0x51f79c STR	X3, [SP, #112]

  (3597) 0x51f7a0 LDR	X9, [X23, X0,LSL #3]

  (3597) 0x51f7a4 CMP	X1, X9

  (3597) 0x51f7a8 B.EQ	51fd30

  (3597) 0x51f7ac ADD	X0, X0, #1

  (3597) 0x51f7b0 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f7b4 ORR	X9, XZR, X0

  (3597) 0x51f7b8 CMP	X1, X3

  (3597) 0x51f7bc B.EQ	51fd30

  (3597) 0x51f7c0 ADD	X0, X0, #1

  (3597) 0x51f7c4 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f7c8 CMP	X1, X3

  (3597) 0x51f7cc B.EQ	51fd30

  (3597) 0x51f7d0 ADD	X0, X9, #2

  (3597) 0x51f7d4 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f7d8 CMP	X1, X3

  (3597) 0x51f7dc B.EQ	51fd30

  (3597) 0x51f7e0 ADD	X0, X9, #3

  (3597) 0x51f7e4 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f7e8 CMP	X1, X3

  (3597) 0x51f7ec B.EQ	51fd30

  (3597) 0x51f7f0 ADD	X0, X9, #4

  (3597) 0x51f7f4 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f7f8 CMP	X1, X3

  (3597) 0x51f7fc B.EQ	51fd30

  (3597) 0x51f800 ADD	X0, X9, #5

  (3597) 0x51f804 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f808 CMP	X1, X3

  (3597) 0x51f80c B.EQ	51fd30

  (3597) 0x51f810 ADD	X0, X9, #6

  (3597) 0x51f814 LDR	X3, [X23, X0,LSL #3]

  (3597) 0x51f818 CMP	X1, X3

  (3597) 0x51f81c B.EQ	51fd30

  (3597) 0x51f820 ADD	X0, X9, #7

  (3597) 0x51f824 CMP	X2, X0

  (3597) 0x51f828 B.NE	51f7a0

0x51f82c LDR	X3, [SP, #112]

0x51f830 ORR	X9, XZR, X25

0x51f834 CMP	X30, X14

0x51f838 B.LE	520304

0x51f83c LDR	D1, [X26, X21,LSL #3]

0x51f840 UBFM	X25, X14, #61, #60

0x51f844 ADD	X14, X14, #1

0x51f848 STR	X1, [X23, X25]

0x51f84c STR	D1, [X5, X25]

0x51f850 ADD	X21, X21, #1

0x51f854 CMP	X21, X16

0x51f858 B.NE	51f6c8

0x51fd30 LDR	X3, [SP, #112]

0x51fd34 ORR	X9, XZR, X25

0x51fd38 LDR	D2, [X26, X21,LSL #3]

0x51fd3c STR	D2, [X5, X0,LSL #3]

0x51fd40 B	51f850

/home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c: 3383 - 3484

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

3383:   	          for (i=0; i < n; i++)

3384: 	          {

3385: 	             if (cols[indx] < col_0 || cols[indx] > col_n)

3386:                      /* insert into offd */

3387: 	             {

3388: 	                for (j=offd_i[row_local]; j < offd_indx; j++)

3389: 	                {

3390: 		           if (offd_j[j] == cols[indx])

3391: 		           {

3392:                               offd_data[j] = values[indx];

3393: 		              not_found = 0;

3394: 		              break;

3395: 		           }

3396: 	                }

3397: 	                if (not_found)

3398: 	                {

3399: 	                   if (cnt_offd < offd_space)

3400: 	                   {

3401: 	                      offd_j[cnt_offd] = cols[indx];

3402: 	                      offd_data[cnt_offd++] = values[indx];

[...]

3454: 	             indx++;

[...]

3484: 	                         offproc_cnt[my_thread_num]++;

Coverage (%)	Name	Source Location	Module
►100.00+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6

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	7.50
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	1.13
Bottlenecks	P0, P1,
Function	hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1
Source	IJMatrix_parcsr.c:3383-3385,IJMatrix_parcsr.c:3388-3392,IJMatrix_parcsr.c:3397-3402,IJMatrix_parcsr.c:3454-3454,IJMatrix_parcsr.c:3484-3484
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	10.00
CQA cycles if no scalar integer	1.33
CQA cycles if FP arith vectorized	10.00
CQA cycles if fully vectorized	5.00
Front-end cycles	8.88
P0 cycles	10.00
P1 cycles	10.00
P2 cycles	5.67
P3 cycles	5.67
P4 cycles	5.67
P5 cycles	5.67
P6 cycles	5.67
P7 cycles	5.67
P8 cycles	1.00
P9 cycles	1.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	5.67
P13 cycles	5.67
P14 cycles	5.67
P15 cycles	1.00
P16 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	71.00
Nb uops	71.00
Nb loads	NA
Nb stores	4.00
Nb stack references	0.00
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	13.60
Bytes prefetched	0.00
Bytes loaded	104.00
Bytes stored	32.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
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	0.00
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	50.00

Metric	Value
CQA speedup if no scalar integer	7.50
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	1.13
Bottlenecks	P0, P1,
Function	hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1
Source	IJMatrix_parcsr.c:3383-3385,IJMatrix_parcsr.c:3388-3392,IJMatrix_parcsr.c:3397-3402,IJMatrix_parcsr.c:3454-3454,IJMatrix_parcsr.c:3484-3484
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	10.00
CQA cycles if no scalar integer	1.33
CQA cycles if FP arith vectorized	10.00
CQA cycles if fully vectorized	5.00
Front-end cycles	8.88
P0 cycles	10.00
P1 cycles	10.00
P2 cycles	5.67
P3 cycles	5.67
P4 cycles	5.67
P5 cycles	5.67
P6 cycles	5.67
P7 cycles	5.67
P8 cycles	1.00
P9 cycles	1.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	5.67
P13 cycles	5.67
P14 cycles	5.67
P15 cycles	1.00
P16 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	71.00
Nb uops	71.00
Nb loads	NA
Nb stores	4.00
Nb stack references	0.00
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	13.60
Bytes prefetched	0.00
Bytes loaded	104.00
Bytes stored	32.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
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	0.00
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	50.00

Path /

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

Function	hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1
Source file and lines	IJMatrix_parcsr.c:3383-3484
Module	exec

The loop is defined in /home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:3383-3402,3454,3484.

Analyzed code is defined in /home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:3383-3385,3388-3392,3397-3402,3454,3484.

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Failed to get the number of paths
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

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 10.00 to 1.33 cycles (7.50x 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 10.00 to 5.00 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 104 bytes. The binary loop is storing 32 bytes.

General properties

nb instructions	71
loop length	284
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

8.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	10.00	10.00	5.67	5.67	5.67	5.67	5.67	5.67	1.00	1.00	0.00	0.00	5.67	5.67	5.67	1.00	1.00
cycles	10.00	10.00	5.67	5.67	5.67	5.67	5.67	5.67	1.00	1.00	0.00	0.00	5.67	5.67	5.67	1.00	1.00

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

Cycles summary

Front-end	8.88
Overall L1	10.00

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	0%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 10.00 cycles. At this rate:

10% of peak load performance is reached (10.40 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
6% of peak store performance is reached (3.20 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 51f6c8

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
LDR X1, [X28, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
CMP X8, X1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
CCMP X7, X1, #1, #13	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	1	scal (50.0%)
B.GE 51f89c <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x61c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X0, [X11, X13]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X2, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LE 51f834 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5b4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
SUB X25, X2, X0	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
ANDS X25, X25, #4224	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.EQ 51f798 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x518>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f780 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x500>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f770 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4f0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #3	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f760 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4e0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #4	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f750 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4d0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #5	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f740 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4c0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #6	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f730 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4b0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
CMP X2, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f834 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5b4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X25, XZR, X9	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
STR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR X9, XZR, X25	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	scal (50.0%)
CMP X30, X14	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LE 520304 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x1084>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D1, [X26, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (50.0%)
UBFM X25, X14, #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
ADD X14, X14, #1	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	scal (50.0%)
STR X1, [X23, X25]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STR D1, [X5, X25]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	0	0	2	0.50	scal (50.0%)
ADD X21, X21, #1	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
CMP X21, X16	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 51f6c8 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x448>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR X9, XZR, X25	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	scal (50.0%)
LDR D2, [X26, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (50.0%)
STR D2, [X5, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	0	0	2	0.50	scal (50.0%)
B 51f850 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5d0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1
Source file and lines	IJMatrix_parcsr.c:3383-3484
Module	exec

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Failed to get the number of paths
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

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 10.00 to 1.33 cycles (7.50x speedup).

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 104 bytes. The binary loop is storing 32 bytes.

General properties

nb instructions	71
loop length	284
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

8.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	10.00	10.00	5.67	5.67	5.67	5.67	5.67	5.67	1.00	1.00	0.00	0.00	5.67	5.67	5.67	1.00	1.00
cycles	10.00	10.00	5.67	5.67	5.67	5.67	5.67	5.67	1.00	1.00	0.00	0.00	5.67	5.67	5.67	1.00	1.00

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

Cycles summary

Front-end	8.88
Overall L1	10.00

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	0%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 10.00 cycles. At this rate:

10% of peak load performance is reached (10.40 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
6% of peak store performance is reached (3.20 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the loop is: 51f6c8

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
LDR X1, [X28, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
CMP X8, X1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
CCMP X7, X1, #1, #13	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	1	scal (50.0%)
B.GE 51f89c <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x61c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X0, [X11, X13]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X2, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LE 51f834 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5b4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
SUB X25, X2, X0	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
ANDS X25, X25, #4224	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.EQ 51f798 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x518>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f780 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x500>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f770 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4f0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #3	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f760 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4e0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #4	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f750 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4d0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #5	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f740 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4c0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP X25, #6	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f730 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x4b0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
LDR X25, [X23, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X1, X25	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51fd38 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0xab8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X0, X0, #1	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
CMP X2, X0	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.EQ 51f834 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5b4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X25, XZR, X9	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
STR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR X9, XZR, X25	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	scal (50.0%)
CMP X30, X14	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LE 520304 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x1084>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D1, [X26, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (50.0%)
UBFM X25, X14, #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
ADD X14, X14, #1	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	scal (50.0%)
STR X1, [X23, X25]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STR D1, [X5, X25]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	0	0	2	0.50	scal (50.0%)
ADD X21, X21, #1	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
CMP X21, X16	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 51f6c8 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x448>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X3, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR X9, XZR, X25	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	scal (50.0%)
LDR D2, [X26, X21,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (50.0%)
STR D2, [X5, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0.50	0.50	0.50	0.50	0	0	0	2	0.50	scal (50.0%)
B 51f850 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x5d0>	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

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