OV - exec - Loop 3572

	Loop Id: 3572	Module: exec	Source: IJMatrix_parcsr.c:3383-3484 [...]	Coverage: 0.06%

0x506888 LDR	X1, [X28, X21,LSL #3]

0x50688c CMP	X8, X1

0x506890 CCMP	X7, X1, #1, #13

0x506894 B.GE	506a5c

0x506898 LDR	X0, [X11, X13]

0x50689c CMP	X2, X0

0x5068a0 B.LE	5069f4

0x5068a4 SUB	X25, X2, X0

0x5068a8 ANDS	X25, X25, #4224

0x5068ac B.EQ	506958

0x5068b0 CMP	X25, #1

0x5068b4 B.EQ	506940

0x5068b8 CMP	X25, #2

0x5068bc B.EQ	506930

0x5068c0 CMP	X25, #3

0x5068c4 B.EQ	506920

0x5068c8 CMP	X25, #4

0x5068cc B.EQ	506910

0x5068d0 CMP	X25, #5

0x5068d4 B.EQ	506900

0x5068d8 CMP	X25, #6

0x5068dc B.EQ	5068f0

0x5068e0 LDR	X25, [X23, X0,LSL #3]

0x5068e4 CMP	X1, X25

0x5068e8 B.EQ	506ef8

0x5068ec ADD	X0, X0, #1

0x5068f0 LDR	X25, [X23, X0,LSL #3]

0x5068f4 CMP	X1, X25

0x5068f8 B.EQ	506ef8

0x5068fc ADD	X0, X0, #1

0x506900 LDR	X25, [X23, X0,LSL #3]

0x506904 CMP	X1, X25

0x506908 B.EQ	506ef8

0x50690c ADD	X0, X0, #1

0x506910 LDR	X25, [X23, X0,LSL #3]

0x506914 CMP	X1, X25

0x506918 B.EQ	506ef8

0x50691c ADD	X0, X0, #1

0x506920 LDR	X25, [X23, X0,LSL #3]

0x506924 CMP	X1, X25

0x506928 B.EQ	506ef8

0x50692c ADD	X0, X0, #1

0x506930 LDR	X25, [X23, X0,LSL #3]

0x506934 CMP	X1, X25

0x506938 B.EQ	506ef8

0x50693c ADD	X0, X0, #1

0x506940 LDR	X25, [X23, X0,LSL #3]

0x506944 CMP	X1, X25

0x506948 B.EQ	506ef8

0x50694c ADD	X0, X0, #1

0x506950 CMP	X2, X0

0x506954 B.EQ	5069f4

0x506958 ORR	X25, XZR, X9

0x50695c STR	X3, [SP, #112]

  (3573) 0x506960 LDR	X9, [X23, X0,LSL #3]

  (3573) 0x506964 CMP	X1, X9

  (3573) 0x506968 B.EQ	506ef0

  (3573) 0x50696c ADD	X0, X0, #1

  (3573) 0x506970 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x506974 ORR	X9, XZR, X0

  (3573) 0x506978 CMP	X1, X3

  (3573) 0x50697c B.EQ	506ef0

  (3573) 0x506980 ADD	X0, X0, #1

  (3573) 0x506984 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x506988 CMP	X1, X3

  (3573) 0x50698c B.EQ	506ef0

  (3573) 0x506990 ADD	X0, X9, #2

  (3573) 0x506994 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x506998 CMP	X1, X3

  (3573) 0x50699c B.EQ	506ef0

  (3573) 0x5069a0 ADD	X0, X9, #3

  (3573) 0x5069a4 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x5069a8 CMP	X1, X3

  (3573) 0x5069ac B.EQ	506ef0

  (3573) 0x5069b0 ADD	X0, X9, #4

  (3573) 0x5069b4 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x5069b8 CMP	X1, X3

  (3573) 0x5069bc B.EQ	506ef0

  (3573) 0x5069c0 ADD	X0, X9, #5

  (3573) 0x5069c4 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x5069c8 CMP	X1, X3

  (3573) 0x5069cc B.EQ	506ef0

  (3573) 0x5069d0 ADD	X0, X9, #6

  (3573) 0x5069d4 LDR	X3, [X23, X0,LSL #3]

  (3573) 0x5069d8 CMP	X1, X3

  (3573) 0x5069dc B.EQ	506ef0

  (3573) 0x5069e0 ADD	X0, X9, #7

  (3573) 0x5069e4 CMP	X2, X0

  (3573) 0x5069e8 B.NE	506960

0x5069ec LDR	X3, [SP, #112]

0x5069f0 ORR	X9, XZR, X25

0x5069f4 CMP	X30, X14

0x5069f8 B.LE	5074b8

0x5069fc LDR	D1, [X26, X21,LSL #3]

0x506a00 UBFM	X25, X14, #61, #60

0x506a04 ADD	X14, X14, #1

0x506a08 STR	X1, [X23, X25]

0x506a0c STR	D1, [X5, X25]

0x506a10 ADD	X21, X21, #1

0x506a14 CMP	X21, X16

0x506a18 B.NE	506888

0x506ef0 LDR	X3, [SP, #112]

0x506ef4 ORR	X9, XZR, X25

0x506ef8 LDR	D2, [X26, X21,LSL #3]

0x506efc STR	D2, [X5, X0,LSL #3]

0x506f00 B	506a10

/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:
- recompile with fassociative-math (included in Ofast or ffast-math) 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)

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: 506888

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 506a5c <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 5069f4 <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 506958 <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 506940 <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 506930 <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 506920 <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 506910 <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 506900 <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 5068f0 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 5069f4 <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 5074b8 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x1078>	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 506888 <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 506a10 <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:
- recompile with fassociative-math (included in Ofast or ffast-math) 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)

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: 506888

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 506a5c <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 5069f4 <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 506958 <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 506940 <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 506930 <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 506920 <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 506910 <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 506900 <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 5068f0 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 506ef8 <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 5069f4 <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 5074b8 <hypre_IJMatrixSetValuesOMPParCSR._omp_fn.1+0x1078>	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 506888 <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 506a10 <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