OV - exec - Loop 3394

	Loop Id: 3394	Module: exec	Source: IJMatrix_parcsr.c:3383-3454 [...]	Coverage: 0.82%

0x2eeb7c VMOVQ	(%R11,%R12,8),%XMM0

0x2eeb82 MOV	-0x78(%RBP),%RDX

0x2eeb86 VMOVQ	%XMM0,(%RDX,%RDI,8)

0x2eeb8b MOV	%R13,%RDI

0x2eeb8e INC	%R12

0x2eeb91 INC	%RSI

0x2eeb94 CMP	%R15,%RSI

0x2eeb97 JE	2ee8da

0x2eeb9d MOV	-0x48(%RBP),%RDX

0x2eeba1 MOV	%RDI,%R13

0x2eeba4 MOV	0x78(%RBP),%RDI

0x2eeba8 MOV	(%RDX,%R12,8),%RDX

0x2eebac CMP	%RDX,(%RDI)

0x2eebaf JG	2eec10

0x2eebb1 MOV	0x80(%RBP),%RDI

0x2eebb8 CMP	%RDX,(%RDI)

0x2eebbb JL	2eec10

0x2eebbd MOV	-0x68(%RBP),%RDI

0x2eebc1 MOV	-0x58(%RBP),%R9

0x2eebc5 MOV	(%R9,%RDI,8),%RDI

0x2eebc9 CMP	%RCX,%RDI

0x2eebcc JGE	2eebde

0x2eebce XCHG	%AX,%AX

  (3396) 0x2eebd0 CMP	%RDX,(%R10,%RDI,8)

  (3396) 0x2eebd4 JE	2eeb7c

  (3396) 0x2eebd6 INC	%RDI

  (3396) 0x2eebd9 CMP	%RDI,%RCX

  (3396) 0x2eebdc JNE	2eebd0

0x2eebde MOV	-0x30(%RBP),%RDI

0x2eebe2 CMP	%RDI,-0x90(%RBP)

0x2eebe9 JLE	2eeeb1

0x2eebef MOV	%RDX,(%R10,%RDI,8)

0x2eebf3 MOV	-0x78(%RBP),%RDX

0x2eebf7 VMOVQ	(%R11,%R12,8),%XMM0

0x2eebfd VMOVQ	%XMM0,(%RDX,%RDI,8)

0x2eec02 INC	%RDI

0x2eec05 MOV	%RDI,-0x30(%RBP)

0x2eec09 JMP	2eeb8b

0x2eec10 MOV	-0x68(%RBP),%RDI

0x2eec14 MOV	-0x50(%RBP),%R9

0x2eec18 MOV	(%R9,%RDI,8),%RDI

0x2eec1c CMP	%RAX,%RDI

0x2eec1f JGE	2eec3e

0x2eec21 NOPW	%CS:(%RAX,%RAX,1)

  (3395) 0x2eec30 CMP	%RDX,(%R8,%RDI,8)

  (3395) 0x2eec34 JE	2eec79

  (3395) 0x2eec36 INC	%RDI

  (3395) 0x2eec39 CMP	%RDI,%RAX

  (3395) 0x2eec3c JNE	2eec30

0x2eec3e CMP	%R13,-0x88(%RBP)

0x2eec45 JLE	2eeeea

0x2eec4b MOV	%RDX,(%R8,%R13,8)

0x2eec4f MOV	-0x70(%RBP),%RDX

0x2eec53 MOV	%R13,%RDI

0x2eec56 INC	%RDI

0x2eec59 VMOVQ	(%R11,%R12,8),%XMM0

0x2eec5f VMOVQ	%XMM0,(%RDX,%R13,8)

0x2eec65 INC	%R12

0x2eec68 INC	%RSI

0x2eec6b CMP	%R15,%RSI

0x2eec6e JNE	2eeb9d

0x2eec79 VMOVQ	(%R11,%R12,8),%XMM0

0x2eec7f MOV	-0x70(%RBP),%RDX

0x2eec83 JMP	2eeb86

/home/eoseret/qaas_runs_ZEN5/173-989-6379/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c: 3383 - 3454

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

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];

[...]

3399: 	                   if (cnt_offd < offd_space)

3400: 	                   {

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

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

[...]

3422: 	                for (j=diag_i[row_local]; j < diag_indx; j++)

3423: 	                {

3424: 		           if (diag_j[j] == cols[indx])

3425: 		           {

3426:                               diag_data[j] = values[indx];

[...]

3433: 	                   if (cnt_diag < diag_space)

3434: 	                   {

3435: 	                      diag_j[cnt_diag] = cols[indx];

3436: 	                      diag_data[cnt_diag++] = values[indx];

[...]

3454: 	             indx++;

Coverage (%)	Name	Source Location	Module

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	2.72
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	8.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.12
Bottlenecks	P6, P7, P8, P9,
Function	hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15
Source	IJMatrix_parcsr.c:3383-3385,IJMatrix_parcsr.c:3388-3388,IJMatrix_parcsr.c:3392-3392,IJMatrix_parcsr.c:3399-3402,IJMatrix_parcsr.c:3422-3422,IJMatrix_parcsr.c:3426-3426,IJMatrix_parcsr.c:3433-3436,IJMatrix_parcsr.c:3454-3454
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.25
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	7.25
CQA cycles if fully vectorized	0.91
Front-end cycles	6.50
P0 cycles	4.00
P1 cycles	4.00
P2 cycles	4.00
P3 cycles	4.00
P4 cycles	4.00
P5 cycles	4.00
P6 cycles	7.25
P7 cycles	7.25
P8 cycles	7.25
P9 cycles	7.25
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	1.50
P15 cycles	1.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	54.00
Nb uops	52.00
Nb loads	23.00
Nb stores	6.00
Nb stack references	11.00
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	32.00
Bytes prefetched	0.00
Bytes loaded	184.00
Bytes stored	48.00
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	NA
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	12.50
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	12.50
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	NA
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	12.50

Metric	Value
CQA speedup if no scalar integer	2.72
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	8.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.12
Bottlenecks	P6, P7, P8, P9,
Function	hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15
Source	IJMatrix_parcsr.c:3383-3385,IJMatrix_parcsr.c:3388-3388,IJMatrix_parcsr.c:3392-3392,IJMatrix_parcsr.c:3399-3402,IJMatrix_parcsr.c:3422-3422,IJMatrix_parcsr.c:3426-3426,IJMatrix_parcsr.c:3433-3436,IJMatrix_parcsr.c:3454-3454
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.25
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	7.25
CQA cycles if fully vectorized	0.91
Front-end cycles	6.50
P0 cycles	4.00
P1 cycles	4.00
P2 cycles	4.00
P3 cycles	4.00
P4 cycles	4.00
P5 cycles	4.00
P6 cycles	7.25
P7 cycles	7.25
P8 cycles	7.25
P9 cycles	7.25
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	1.50
P15 cycles	1.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	54.00
Nb uops	52.00
Nb loads	23.00
Nb stores	6.00
Nb stack references	11.00
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	32.00
Bytes prefetched	0.00
Bytes loaded	184.00
Bytes stored	48.00
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	NA
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	12.50
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	12.50
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	NA
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	12.50

Path /

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

Function	hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15
Source file and lines	IJMatrix_parcsr.c:3383-3454
Module	exec

The loop is defined in /home/eoseret/qaas_runs_ZEN5/173-989-6379/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:3383-3392,3399-3402,3422-3426,3433-3436,3454.

Analyzed code is defined in /home/eoseret/qaas_runs_ZEN5/173-989-6379/intel/AMG/build/AMG/AMG/IJ_mv/IJMatrix_parcsr.c:3383-3385,3388,3392,3399-3402,3422,3426,3433-3436,3454.

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=9
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

Try to simplify control and/or increase the maximum number of paths per function/loop through the 'max-paths-nb' option.

This loop has 9 execution paths.

The presence of multiple execution paths is typically the main/first bottleneck.
Try to simplify control inside loop: ideally, try to remove all conditional expressions, for example by (if applicable):

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

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 7.25 to 2.67 cycles (2.72x 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. 8 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 7.25 to 0.91 cycles (8.00x speedup).

Details

All SSE/AVX 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)

Execution units bottlenecks

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 7.25 to 6.50 cycles (1.12x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

No data for this section

Type of elements and instruction set

No instructions are processing arithmetic or math operations on FP elements. This loop is probably writing/copying data or processing integer elements.

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 184 bytes. The binary loop is storing 48 bytes.

General properties

nb instructions	54
nb uops	52
loop length	233
used x86 registers	13
used mmx registers	0
used xmm registers	1
used ymm registers	0
used zmm registers	0
nb stack references	11

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	4.00	4.00	4.00	4.00	4.00	4.00	7.25	7.25	7.25	7.25	0.00	0.00	0.00	0.00	1.50	1.50
cycles	4.00	4.00	4.00	4.00	4.00	4.00	7.25	7.25	7.25	7.25	0.00	0.00	0.00	0.00	1.50	1.50

Execution ports to units layout:

P0: ALU
P1: ALU
P2: ALU
P3: ALU, BRU
P4: ALU, BRU
P5: ALU, BRU
P6 (512 bits): store address, load
P7 (512 bits): store address, load
P8 (512 bits): store address, load
P9 (512 bits): store address, load
P10 (512 bits): VPU, DIV/SQRT
P11 (512 bits): VPU, DIV/SQRT
P12 (512 bits): VPU
P13 (512 bits): VPU
P14 (512 bits): FP store data
P15 (512 bits): FP store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	6.50
Dispatch	7.25
Overall L1	7.25

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Vector efficiency ratios

all	12%
load	12%
store	12%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	12%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.25 cycles. At this rate:

9% of peak load performance is reached (25.38 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
5% of peak store performance is reached (6.62 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 2eeb9d

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P14	P15	Latency	Recip. throughput	Vectorization
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
MOV -0x78(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
VMOVQ %XMM0,(%RDX,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
MOV %R13,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
INC %R12	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
INC %RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
CMP %R15,%RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JE 2ee8da <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x17a>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV -0x48(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV %RDI,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x78(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%RDX,%R12,8),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDX,(%RDI)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JG 2eec10 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4b0>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV 0x80(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDX,(%RDI)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JL 2eec10 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4b0>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV -0x68(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV -0x58(%RBP),%R9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%R9,%RDI,8),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RCX,%RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JGE 2eebde <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x47e>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
XCHG %AX,%AX	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.09	N/A
MOV -0x30(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDI,-0x90(%RBP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JLE 2eeeb1 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x751>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV %RDX,(%R10,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
MOV -0x78(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
VMOVQ %XMM0,(%RDX,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
INC %RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
MOV %RDI,-0x30(%RBP)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
JMP 2eeb8b <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x42b>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	1	N/A
MOV -0x68(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV -0x50(%RBP),%R9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%R9,%RDI,8),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RAX,%RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JGE 2eec3e <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4de>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
NOPW %CS:(%RAX,%RAX,1)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.09	N/A
CMP %R13,-0x88(%RBP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JLE 2eeeea <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x78a>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV %RDX,(%R8,%R13,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
MOV -0x70(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV %R13,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
INC %RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
VMOVQ %XMM0,(%RDX,%R13,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
INC %R12	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
INC %RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
CMP %R15,%RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
JNE 2eeb9d <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x43d>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
MOV -0x70(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
JMP 2eeb86 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x426>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	1	N/A

Function	hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15
Source file and lines	IJMatrix_parcsr.c:3383-3454
Module	exec

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=9
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

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 7.25 to 2.67 cycles (2.72x 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. 8 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 7.25 to 0.91 cycles (8.00x speedup).

Details

All SSE/AVX 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)

Execution units bottlenecks

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 7.25 to 6.50 cycles (1.12x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

No data for this section

Type of elements and instruction set

No instructions are processing arithmetic or math operations on FP elements. This loop is probably writing/copying data or processing integer elements.

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 184 bytes. The binary loop is storing 48 bytes.

General properties

nb instructions	54
nb uops	52
loop length	233
used x86 registers	13
used mmx registers	0
used xmm registers	1
used ymm registers	0
used zmm registers	0
nb stack references	11

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	4.00	4.00	4.00	4.00	4.00	4.00	7.25	7.25	7.25	7.25	0.00	0.00	0.00	0.00	1.50	1.50
cycles	4.00	4.00	4.00	4.00	4.00	4.00	7.25	7.25	7.25	7.25	0.00	0.00	0.00	0.00	1.50	1.50

Execution ports to units layout:

P0: ALU
P1: ALU
P2: ALU
P3: ALU, BRU
P4: ALU, BRU
P5: ALU, BRU
P6 (512 bits): store address, load
P7 (512 bits): store address, load
P8 (512 bits): store address, load
P9 (512 bits): store address, load
P10 (512 bits): VPU, DIV/SQRT
P11 (512 bits): VPU, DIV/SQRT
P12 (512 bits): VPU
P13 (512 bits): VPU
P14 (512 bits): FP store data
P15 (512 bits): FP store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	6.50
Dispatch	7.25
Overall L1	7.25

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Vector efficiency ratios

all	12%
load	12%
store	12%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	12%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.25 cycles. At this rate:

9% of peak load performance is reached (25.38 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
5% of peak store performance is reached (6.62 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 2eeb9d

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P14	P15	Latency	Recip. throughput	Vectorization
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
MOV -0x78(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
VMOVQ %XMM0,(%RDX,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
MOV %R13,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
INC %R12	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
INC %RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
CMP %R15,%RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JE 2ee8da <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x17a>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV -0x48(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV %RDI,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x78(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%RDX,%R12,8),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDX,(%RDI)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JG 2eec10 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4b0>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV 0x80(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDX,(%RDI)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JL 2eec10 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4b0>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV -0x68(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV -0x58(%RBP),%R9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%R9,%RDI,8),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RCX,%RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JGE 2eebde <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x47e>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
XCHG %AX,%AX	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.09	N/A
MOV -0x30(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RDI,-0x90(%RBP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JLE 2eeeb1 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x751>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV %RDX,(%R10,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
MOV -0x78(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
VMOVQ %XMM0,(%RDX,%RDI,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
INC %RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
MOV %RDI,-0x30(%RBP)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
JMP 2eeb8b <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x42b>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	1	N/A
MOV -0x68(%RBP),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV -0x50(%RBP),%R9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV (%R9,%RDI,8),%RDI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
CMP %RAX,%RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	scal (12.5%)
JGE 2eec3e <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x4de>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
NOPW %CS:(%RAX,%RAX,1)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.09	N/A
CMP %R13,-0x88(%RBP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
JLE 2eeeea <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x78a>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
MOV %RDX,(%R8,%R13,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	4	0.50	scal (12.5%)
MOV -0x70(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
MOV %R13,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
INC %RDI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
VMOVQ %XMM0,(%RDX,%R13,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	1	0.50	scal (12.5%)
INC %R12	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
INC %RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
CMP %R15,%RSI	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	1	0.17	N/A
JNE 2eeb9d <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x43d>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	1	0.50-1	N/A
VMOVQ (%R11,%R12,8),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
MOV -0x70(%RBP),%RDX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	3	0.25	N/A
JMP 2eeb86 <hypre_IJMatrixSetValuesOMPParCSR.omp_outlined.15+0x426>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	1	N/A

Report Configuration

Code clean check

Workaround

Vectorization

Details

Workaround

Execution units bottlenecks

Workaround

Type of elements and instruction set

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

Execution units bottlenecks

Workaround

Type of elements and instruction set

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code