OV - exec - Function hypre_IJMatrixAssembleParCSR.omp

	Function: hypre_IJMatrixAssembleParCSR.omp_outlined.11	Module: exec	Source: IJMatrix_parcsr.c:2798-2812	Coverage (incl. loops): 0.58% \| (excl. loops): 0.00%

/home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c: 2798 - 2812

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

2798: #pragma omp parallel for private (i,j,j0,temp)

2799: #endif

2800:          for (i=0; i < num_rows; i++)

2801:          {

2802:    	    j0 = diag_i[i];

2803:    	    for (j=j0; j < diag_i[i+1]; j++)

2804:    	    {

2805:    	       diag_j[j] -= col_0;

2806:    	       if (diag_j[j] == i)

2807:    	       {

2808:    	          temp = diag_data[j0];

2809:    	          diag_data[j0] = diag_data[j];

2810:    	          diag_data[j] = temp;

2811:    	          diag_j[j] = diag_j[j0];

2812:    	          diag_j[j0] = i;

0x497a80 SUB	SP, SP, #112

0x497a84 STP	X29, X30, [SP, #48]

0x497a88 STP	X24, X23, [SP, #64]

0x497a8c STP	X22, X21, [SP, #80]

0x497a90 STP	X20, X19, [SP, #96]

0x497a94 ADD	X29, SP, #48

0x497a98 LDR	X8, [X2]

0x497a9c SUBS	X24, X8, #1

0x497aa0 B.LT	497b18

0x497aa4 LDR	W21, [X0]

0x497aa8 ORR	X19, XZR, X6

0x497aac ORR	X20, XZR, X5

0x497ab0 ORR	X22, XZR, X4

0x497ab4 ORR	X23, XZR, X3

0x497ab8 MOVZ	W8, #1

0x497abc ADRP	X0,

0x497ac0 ADD	X0, X0, #3568

0x497ac4 ADD	X3, SP, #20

0x497ac8 SUB	X4, X29, #8

0x497acc SUB	X5, X29, #16

0x497ad0 STP	X24, XZR, [X29, #1008]

0x497ad4 STR	WZR, [SP, #20]

0x497ad8 ORR	W1, WZR, W21

0x497adc ADD	X6, SP, #24

0x497ae0 MOVZ	W2, #34

0x497ae4 MOVZ	W7, #1

0x497ae8 STR	X8, [SP, #24]

0x497aec STR	X8, [SP]

0x497af0 BL	40f4e0

0x497af4 LDP	X8, X9, [X29, #1008]

0x497af8 CMP	X8, X24

0x497afc CSEL	X8, X8, X24, #11

0x497b00 CMP	X9, X8

0x497b04 B.LE	497b30

(3312) 0x497b08 ADRP	X0,

(3312) 0x497b0c ADD	X0, X0, #3592

(3312) 0x497b10 ORR	W1, WZR, W21

(3312) 0x497b14 BL	40f3a0

(3312) 0x497b18 LDP	X20, X19, [SP, #96]

(3312) 0x497b1c LDP	X22, X21, [SP, #80]

(3312) 0x497b20 LDP	X24, X23, [SP, #64]

(3312) 0x497b24 LDP	X29, X30, [SP, #48]

(3312) 0x497b28 ADD	SP, SP, #112

(3312) 0x497b2c RET

(3312) 0x497b30 LDR	X10, [X23]

(3312) 0x497b34 LDR	X11, [X22]

(3312) 0x497b38 LDR	X12, [X10, X9,LSL #3]

(3312) 0x497b3c B	497b4c

  (3313) 0x497b40 ORR	X12, XZR, X16

  (3313) 0x497b44 CMP	X13, X8

  (3313) 0x497b48 B.EQ	497b08

  (3313) 0x497b4c ORR	X13, XZR, X9

  (3313) 0x497b50 ADD	X9, X9, #1

  (3313) 0x497b54 LDR	X16, [X10, X9,LSL #3]

  (3313) 0x497b58 CMP	X12, X16

  (3313) 0x497b5c B.GE	497b40

  (3313) 0x497b60 LDR	X14, [X19]

  (3313) 0x497b64 ORR	X15, XZR, X12

  (3313) 0x497b68 B	497b7c

    (3314) 0x497b6c LDR	X16, [X10, X9,LSL #3]

    (3314) 0x497b70 ADD	X15, X15, #1

    (3314) 0x497b74 CMP	X15, X16

    (3314) 0x497b78 B.GE	497b40

    (3314) 0x497b7c LDR	X16, [X20]

    (3314) 0x497b80 LDR	X17, [X11, X15,LSL #3]

    (3314) 0x497b84 SUB	X16, X17, X16

    (3314) 0x497b88 STR	X16, [X11, X15,LSL #3]

    (3314) 0x497b8c CMP	X16, X13

    (3314) 0x497b90 B.NE	497b6c

    (3314) 0x497b94 LDR	D0, [X14, X12,LSL #3]

    (3314) 0x497b98 LDR	D1, [X14, X15,LSL #3]

    (3314) 0x497b9c LDR	X16, [X11, X12,LSL #3]

    (3314) 0x497ba0 STR	X16, [X11, X15,LSL #3]

    (3314) 0x497ba4 STR	X13, [X11, X12,LSL #3]

    (3314) 0x497ba8 STR	D1, [X14, X12,LSL #3]

    (3314) 0x497bac STR	D0, [X14, X15,LSL #3]

    (3314) 0x497bb0 B	497b6c

0x497bb4 HINT	#0

0x497bb8 HINT	#0

0x497bbc HINT	#0

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 /

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

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run orig_0

Source file and lines	IJMatrix_parcsr.c:2798-2812
Module	exec

The function is defined in /home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:2798-2812.

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Your function is not vectorized. Only 57% of vector register length is used (average across all VPU instructions). By vectorizing your function, you can lower the cost of an iteration from 4.25 to 3.30 cycles (1.29x 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 function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function 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)

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 4.25 to 0.50 cycles (8.50x speedup).

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 28 bytes. The binary function is storing 100 bytes.

General properties

nb instructions	37
loop length	148
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

4.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	1.50	1.50	3.58	3.58	3.50	3.50	3.42	3.42	0.00	0.00	0.00	0.00	4.00	4.00	3.00	4.00	4.00
cycles	1.50	1.50	3.58	3.58	3.50	3.50	3.42	3.42	0.00	0.00	0.00	0.00	4.00	4.00	3.00	4.00	4.00

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	4.25
Overall L1	4.25

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 call to the function takes 4.25 cycles. At this rate:

6% of peak load performance is reached (6.59 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
49% of peak store performance is reached (23.53 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 497a80

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
SUB SP, SP, #112	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
STP X29, X30, [SP, #48]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X24, X23, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X20, X19, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
ADD X29, SP, #48	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
LDR X8, [X2]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUBS X24, X8, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LT 497b18 <hypre_IJMatrixAssembleParCSR.omp_outlined.11+0x98>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W21, [X0]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ORR X19, XZR, X6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X20, XZR, X5	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X22, XZR, X4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X23, XZR, X3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
MOVZ W8, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADRP X0, <4eeabc>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #3568	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADD X3, SP, #20	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X4, X29, #8	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X5, X29, #16	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
STP X24, XZR, [X29, #1008]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STR WZR, [SP, #20]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
ORR W1, WZR, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
ADD X6, SP, #24	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
MOVZ W2, #34	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
MOVZ W7, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
STR X8, [SP, #24]	1	0	0	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 X8, [SP]	1	0	0	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%)
BL 40f4e0 <@plt_start@+0x160>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X8, X9, [X29, #1008]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
CMP X8, X24	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
CSEL X8, X8, X24, #11	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP X9, X8	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LE 497b30 <hypre_IJMatrixAssembleParCSR.omp_outlined.11+0xb0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run orig_0

Source file and lines	IJMatrix_parcsr.c:2798-2812
Module	exec

The function is defined in /home/hbollore/qaas/qaas-runs/174-161-6712/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:2798-2812.

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

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 function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function 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)

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 4.25 to 0.50 cycles (8.50x speedup).

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 28 bytes. The binary function is storing 100 bytes.

General properties

nb instructions	37
loop length	148
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

4.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	1.50	1.50	3.58	3.58	3.50	3.50	3.42	3.42	0.00	0.00	0.00	0.00	4.00	4.00	3.00	4.00	4.00
cycles	1.50	1.50	3.58	3.58	3.50	3.50	3.42	3.42	0.00	0.00	0.00	0.00	4.00	4.00	3.00	4.00	4.00

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	4.25
Overall L1	4.25

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 call to the function takes 4.25 cycles. At this rate:

6% of peak load performance is reached (6.59 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
49% of peak store performance is reached (23.53 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 497a80

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
SUB SP, SP, #112	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
STP X29, X30, [SP, #48]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X24, X23, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X20, X19, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
ADD X29, SP, #48	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
LDR X8, [X2]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUBS X24, X8, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
B.LT 497b18 <hypre_IJMatrixAssembleParCSR.omp_outlined.11+0x98>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W21, [X0]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ORR X19, XZR, X6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X20, XZR, X5	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X22, XZR, X4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
ORR X23, XZR, X3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
MOVZ W8, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADRP X0, <4eeabc>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #3568	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ADD X3, SP, #20	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X4, X29, #8	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X5, X29, #16	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
STP X24, XZR, [X29, #1008]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STR WZR, [SP, #20]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
ORR W1, WZR, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
ADD X6, SP, #24	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
MOVZ W2, #34	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
MOVZ W7, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
STR X8, [SP, #24]	1	0	0	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 X8, [SP]	1	0	0	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%)
BL 40f4e0 <@plt_start@+0x160>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X8, X9, [X29, #1008]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
CMP X8, X24	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (50.0%)
CSEL X8, X8, X24, #11	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP X9, X8	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LE 497b30 <hypre_IJMatrixAssembleParCSR.omp_outlined.11+0xb0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A

Name	Coverage (%)	Time (s)
▼hypre_IJMatrixAssembleParCSR.omp_outlined.11–	0.58	0.11
▼Loop 3312 - IJMatrix_parcsr.c:2798-2812 - exec–	0.00	0.00
▼Loop 3313 - IJMatrix_parcsr.c:2800-2812 - exec–	0.00	0.00
○Loop 3314 - IJMatrix_parcsr.c:2803-2812 - exec	0.58	0.09

Report Configuration

Vectorization

Details

Workaround

Expensive FP math instructions/calls

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code

Vectorization

Details

Workaround

Expensive FP math instructions/calls

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code