OV - exec - Loop 2943

	Loop Id: 2943	Module: exec	Source: par_csr_matop.c:865-989 [...]	Coverage: 0.21%

  (2942) 0x488240 LDUR	X8, [X29, #432]

  (2942) 0x488244 ORR	X19, XZR, X2

  (2942) 0x488248 ORR	X22, XZR, X1

  (2942) 0x48824c CMP	X26, X8

  (2942) 0x488250 B.GE	488590

  (2942) 0x488254 LDUR	X8, [X29, #424]

  (2942) 0x488258 LDR	X8, [X8]

  (2942) 0x48825c CBZ	X8, 48827c

  (2942) 0x488260 LDUR	X8, [X29, #408]

  (2942) 0x488264 ADD	X1, X22, #1

  (2942) 0x488268 STR	X22, [X0, X26,LSL #3]

  (2942) 0x48826c LDR	D0, [X8]

  (2942) 0x488270 LDP	X8, X9, [SP, #104]

  (2942) 0x488274 STR	X26, [X8, X22,LSL #3]

  (2942) 0x488278 STR	D0, [X9, X22,LSL #3]

  (2942) 0x48827c LDUR	X8, [X29, #416]

  (2942) 0x488280 LDR	X8, [X8]

  (2942) 0x488284 CBZ	X8, 488400

  (2942) 0x488288 LDR	X8, [SP, #96]

  (2942) 0x48828c ADD	X3, X8, X26,LSL #3

  (2942) 0x488290 LDP	X4, X8, [X3]

  (2942) 0x488294 CMP	X4, X8

  (2942) 0x488298 B.GE	488420

  (2942) 0x48829c LDP	X9, X8, [SP, #48]

  (2942) 0x4882a0 ORR	X2, XZR, X19

  (2942) 0x4882a4 LDR	X5, [X9]

  (2942) 0x4882a8 LDR	X6, [X8]

  (2942) 0x4882ac B	4882d0

    (2946) 0x4882c0 LDR	X8, [X3, #8]

    (2946) 0x4882c4 ADD	X4, X4, #1

    (2946) 0x4882c8 CMP	X4, X8

    (2946) 0x4882cc B.GE	488404

    (2946) 0x4882d0 LDP	X8, X9, [X29, #984]

    (2946) 0x4882d4 LDR	X30, [X9, X4,LSL #3]

    (2946) 0x4882d8 LDR	D0, [X8, X4,LSL #3]

    (2946) 0x4882dc ADD	X7, X30, #1

    (2946) 0x4882e0 LDR	X8, [X13, X30,LSL #3]

    (2946) 0x4882e4 LDR	X23, [X13, X7,LSL #3]

    (2946) 0x4882e8 CMP	X8, X23

    (2946) 0x4882ec B.GE	48836c

    (2946) 0x4882f0 LDUR	X9, [X29, #440]

    (2946) 0x4882f4 LDP	X10, X11, [X29, #1000]

    (2946) 0x4882f8 LDR	X9, [X9]

    (2946) 0x4882fc LDR	X10, [X10]

    (2946) 0x488300 LDR	X27, [X11]

    (2946) 0x488304 B	488324

      (2948) 0x488308 LDR	D1, [X9, X8,LSL #3]

      (2948) 0x48830c LDR	D2, [X10, X11,LSL #3]

      (2948) 0x488310 FMADD	D1, D1, D0, D2

      (2948) 0x488314 STR	D1, [X10, X11,LSL #3]

      (2948) 0x488318 ADD	X8, X8, #1

      (2948) 0x48831c CMP	X8, X23

      (2948) 0x488320 B.GE	48836c

      (2948) 0x488324 LDR	X11, [X20]

      (2948) 0x488328 LDR	X12, [X5, X8,LSL #3]

      (2948) 0x48832c ADD	X24, X12, X11

      (2948) 0x488330 LDR	X11, [X0, X24,LSL #3]

      (2948) 0x488334 CMP	X11, X19

      (2948) 0x488338 B.GE	488308

      (2948) 0x48833c STR	X2, [X0, X24,LSL #3]

      (2948) 0x488340 LDR	D1, [X9, X8,LSL #3]

      (2948) 0x488344 LDR	X11, [X20]

      (2948) 0x488348 SUB	X11, X24, X11

      (2948) 0x48834c STR	X11, [X27, X2,LSL #3]

      (2948) 0x488350 FMUL	D1, D1, D0

      (2948) 0x488354 LDR	X23, [X13, X7,LSL #3]

      (2948) 0x488358 STR	D1, [X10, X2,LSL #3]

      (2948) 0x48835c ADD	X2, X2, #1

      (2948) 0x488360 ADD	X8, X8, #1

      (2948) 0x488364 CMP	X8, X23

      (2948) 0x488368 B.LT	488324

    (2946) 0x48836c LDR	X8, [X14, X30,LSL #3]

    (2946) 0x488370 LDR	X23, [X14, X7,LSL #3]

    (2946) 0x488374 CMP	X8, X23

    (2946) 0x488378 B.GE	4882c0

    (2946) 0x48837c LDUR	X9, [X29, #448]

    (2946) 0x488380 LDR	X10, [X25]

    (2946) 0x488384 LDR	X27, [X21]

    (2946) 0x488388 LDR	X9, [X9]

    (2946) 0x48838c B	4883bc

      (2947) 0x4883a0 LDR	D1, [X9, X8,LSL #3]

      (2947) 0x4883a4 LDR	D2, [X10, X11,LSL #3]

      (2947) 0x4883a8 FMADD	D1, D1, D0, D2

      (2947) 0x4883ac STR	D1, [X10, X11,LSL #3]

      (2947) 0x4883b0 ADD	X8, X8, #1

      (2947) 0x4883b4 CMP	X8, X23

      (2947) 0x4883b8 B.GE	4882c0

      (2947) 0x4883bc LDR	X24, [X6, X8,LSL #3]

      (2947) 0x4883c0 LDR	X11, [X0, X24,LSL #3]

      (2947) 0x4883c4 CMP	X11, X22

      (2947) 0x4883c8 B.GE	4883a0

      (2947) 0x4883cc LDR	D1, [X9, X8,LSL #3]

      (2947) 0x4883d0 STR	X1, [X0, X24,LSL #3]

      (2947) 0x4883d4 STR	X24, [X27, X1,LSL #3]

      (2947) 0x4883d8 LDR	X23, [X14, X7,LSL #3]

      (2947) 0x4883dc FMUL	D1, D1, D0

      (2947) 0x4883e0 STR	D1, [X10, X1,LSL #3]

      (2947) 0x4883e4 ADD	X1, X1, #1

      (2947) 0x4883e8 ADD	X8, X8, #1

      (2947) 0x4883ec CMP	X8, X23

      (2947) 0x4883f0 B.LT	4883bc

    (2946) 0x4883f4 B	4882c0

  (2942) 0x488400 ORR	X2, XZR, X19

  (2942) 0x488404 LDR	X3, [X15, X26,LSL #3]

  (2942) 0x488408 ADD	X26, X26, #1

  (2942) 0x48840c LDR	X8, [X15, X26,LSL #3]

  (2942) 0x488410 CMP	X3, X8

  (2942) 0x488414 B.GE	488240

0x488418 B	488438

  (2942) 0x488420 ORR	X2, XZR, X19

  (2942) 0x488424 LDR	X3, [X15, X26,LSL #3]

  (2942) 0x488428 ADD	X26, X26, #1

  (2942) 0x48842c LDR	X8, [X15, X26,LSL #3]

  (2942) 0x488430 CMP	X3, X8

  (2942) 0x488434 B.GE	488240

0x488438 LDP	X9, X8, [SP, #64]

0x48843c LDR	X4, [X9]

0x488440 LDR	X5, [X8]

0x488444 LDP	X9, X8, [SP, #80]

0x488448 LDR	X6, [X9]

0x48844c LDR	X7, [X8]

0x488450 B	488470

0x488460 LDR	X8, [X15, X26,LSL #3]

0x488464 ADD	X3, X3, #1

0x488468 CMP	X3, X8

0x48846c B.GE	488240

0x488470 LDR	X8, [X16, X3,LSL #3]

0x488474 LDR	D0, [X17, X3,LSL #3]

0x488478 ADD	X30, X8, #1

0x48847c LDR	X9, [X18, X8,LSL #3]

0x488480 LDR	X27, [X18, X30,LSL #3]

0x488484 CMP	X9, X27

0x488488 B.GE	4884f4

0x48848c LDUR	X10, [X29, #464]

0x488490 LDR	X23, [X25]

0x488494 LDR	X24, [X21]

0x488498 LDR	X10, [X10]

0x48849c B	4884bc

  (2945) 0x4884a0 LDR	D1, [X10, X9,LSL #3]

  (2945) 0x4884a4 LDR	D2, [X23, X12,LSL #3]

  (2945) 0x4884a8 FMADD	D1, D1, D0, D2

  (2945) 0x4884ac STR	D1, [X23, X12,LSL #3]

  (2945) 0x4884b0 ADD	X9, X9, #1

  (2945) 0x4884b4 CMP	X9, X27

  (2945) 0x4884b8 B.GE	4884f4

  (2945) 0x4884bc LDR	X11, [X4, X9,LSL #3]

  (2945) 0x4884c0 LDR	X12, [X0, X11,LSL #3]

  (2945) 0x4884c4 CMP	X12, X22

  (2945) 0x4884c8 B.GE	4884a0

  (2945) 0x4884cc LDR	D1, [X10, X9,LSL #3]

  (2945) 0x4884d0 STR	X1, [X0, X11,LSL #3]

  (2945) 0x4884d4 STR	X11, [X24, X1,LSL #3]

  (2945) 0x4884d8 LDR	X27, [X18, X30,LSL #3]

  (2945) 0x4884dc FMUL	D1, D1, D0

  (2945) 0x4884e0 STR	D1, [X23, X1,LSL #3]

  (2945) 0x4884e4 ADD	X1, X1, #1

  (2945) 0x4884e8 ADD	X9, X9, #1

  (2945) 0x4884ec CMP	X9, X27

  (2945) 0x4884f0 B.LT	4884bc

0x4884f4 LDR	X9, [X28]

0x4884f8 CBZ	X9, 488460

0x4884fc LDR	X8, [X5, X8,LSL #3]

0x488500 LDR	X23, [X5, X30,LSL #3]

0x488504 CMP	X8, X23

0x488508 B.GE	488460

0x48850c LDUR	X9, [X29, #456]

0x488510 LDP	X10, X11, [X29, #1000]

0x488514 LDR	X9, [X9]

0x488518 LDR	X10, [X10]

0x48851c LDR	X27, [X11]

0x488520 B	488540

  (2944) 0x488524 LDR	D1, [X9, X8,LSL #3]

  (2944) 0x488528 LDR	D2, [X10, X11,LSL #3]

  (2944) 0x48852c FMADD	D1, D1, D0, D2

  (2944) 0x488530 STR	D1, [X10, X11,LSL #3]

  (2944) 0x488534 ADD	X8, X8, #1

  (2944) 0x488538 CMP	X8, X23

  (2944) 0x48853c B.GE	488460

  (2944) 0x488540 LDR	X12, [X7, X8,LSL #3]

  (2944) 0x488544 LDR	X11, [X20]

  (2944) 0x488548 LDR	X12, [X6, X12,LSL #3]

  (2944) 0x48854c ADD	X24, X12, X11

  (2944) 0x488550 LDR	X11, [X0, X24,LSL #3]

  (2944) 0x488554 CMP	X11, X19

  (2944) 0x488558 B.GE	488524

  (2944) 0x48855c STR	X2, [X0, X24,LSL #3]

  (2944) 0x488560 LDR	D1, [X9, X8,LSL #3]

  (2944) 0x488564 LDR	X11, [X20]

  (2944) 0x488568 SUB	X11, X24, X11

  (2944) 0x48856c STR	X11, [X27, X2,LSL #3]

  (2944) 0x488570 FMUL	D1, D1, D0

  (2944) 0x488574 LDR	X23, [X5, X30,LSL #3]

  (2944) 0x488578 STR	D1, [X10, X2,LSL #3]

  (2944) 0x48857c ADD	X2, X2, #1

  (2944) 0x488580 ADD	X8, X8, #1

  (2944) 0x488584 CMP	X8, X23

  (2944) 0x488588 B.LT	488540

0x48858c B	488460

/home/eoseret/qaas/qaas_runs/178-188-3659/intel/AMG/build/AMG/AMG/parcsr_mv/par_csr_matop.c: 865 - 989

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

865:     for (i1 = ns; i1 < ne; i1++)

[...]

874:       if ( allsquare )

875:       {

876:          B_marker[i1] = jj_count_diag;

877:          C_diag_data[jj_count_diag] = zero;

878:          C_diag_j[jj_count_diag] = i1;

879:          jj_count_diag++;

[...]

886:       if (num_cols_offd_A)

887:       {

888:          for (jj2 = A_offd_i[i1]; jj2 < A_offd_i[i1+1]; jj2++)

889:          {

890:             i2 = A_offd_j[jj2];

891:             a_entry = A_offd_data[jj2];

[...]

897:             for (jj3 = B_ext_offd_i[i2]; jj3 < B_ext_offd_i[i2+1]; jj3++)

898:             {

899:                i3 = num_cols_diag_B+B_ext_offd_j[jj3];

[...]

907:                if (B_marker[i3] < jj_row_begin_offd)

908:                {

909:                   B_marker[i3] = jj_count_offd;

910:                   C_offd_data[jj_count_offd] = a_entry*B_ext_offd_data[jj3];

911:                   C_offd_j[jj_count_offd] = i3-num_cols_diag_B;

912:                   jj_count_offd++;

913:                }

914:                else

915:                   C_offd_data[B_marker[i3]] += a_entry*B_ext_offd_data[jj3];

916:             }

917:             for (jj3 = B_ext_diag_i[i2]; jj3 < B_ext_diag_i[i2+1]; jj3++)

918:             {

919:                i3 = B_ext_diag_j[jj3];

920:                if (B_marker[i3] < jj_row_begin_diag)

921:                {

922:                   B_marker[i3] = jj_count_diag;

923:                   C_diag_data[jj_count_diag] = a_entry*B_ext_diag_data[jj3];

924:                   C_diag_j[jj_count_diag] = i3;

925:                   jj_count_diag++;

926:                }

927:                else

928:                   C_diag_data[B_marker[i3]] += a_entry*B_ext_diag_data[jj3];

[...]

937:       for (jj2 = A_diag_i[i1]; jj2 < A_diag_i[i1+1]; jj2++)

938:       {

939:          i2 = A_diag_j[jj2];

940:          a_entry = A_diag_data[jj2];

[...]

946:          for (jj3 = B_diag_i[i2]; jj3 < B_diag_i[i2+1]; jj3++)

947:          {

948:             i3 = B_diag_j[jj3];

[...]

956:             if (B_marker[i3] < jj_row_begin_diag)

957:             {

958:                B_marker[i3] = jj_count_diag;

959:                C_diag_data[jj_count_diag] = a_entry*B_diag_data[jj3];

960:                C_diag_j[jj_count_diag] = i3;

961:                jj_count_diag++;

962:             }

963:             else

964:             {

965:                C_diag_data[B_marker[i3]] += a_entry*B_diag_data[jj3];

966:             }

967:          }

968:          if (num_cols_offd_B)

969:          {

970:             for (jj3 = B_offd_i[i2]; jj3 < B_offd_i[i2+1]; jj3++)

971:             {

972:                i3 = num_cols_diag_B+map_B_to_C[B_offd_j[jj3]];

[...]

980:                if (B_marker[i3] < jj_row_begin_offd)

981:                {

982:                   B_marker[i3] = jj_count_offd;

983:                   C_offd_data[jj_count_offd] = a_entry*B_offd_data[jj3];

984:                   C_offd_j[jj_count_offd] = i3-num_cols_diag_B;

985:                   jj_count_offd++;

986:                }

987:                else

988:                {

989:                   C_offd_data[B_marker[i3]] += a_entry*B_offd_data[jj3];

Coverage (%)	Name	Source Location	Module
►98.57+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►1.43+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	hypre_ParMatmul	par_csr_matop.c:999	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:1226	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start		exec

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	2.87
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	4.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.66
Bottlenecks	P10, P11, P12,
Function	hypre_ParMatmul.omp_outlined.6
Source	par_csr_matop.c:937-940,par_csr_matop.c:946-946,par_csr_matop.c:968-970
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.67
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	7.67
CQA cycles if fully vectorized	1.92
Front-end cycles	4.63
P0 cycles	4.50
P1 cycles	4.50
P2 cycles	1.25
P3 cycles	1.25
P4 cycles	1.25
P5 cycles	1.25
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	7.67
P11 cycles	7.67
P12 cycles	7.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	37.00
Nb uops	37.00
Nb loads	NA
Nb stores	0.00
Nb stack references	2.00
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	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
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	NA
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	25.00
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	NA
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	25.00

Metric	Value
CQA speedup if no scalar integer	2.87
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	4.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.66
Bottlenecks	P10, P11, P12,
Function	hypre_ParMatmul.omp_outlined.6
Source	par_csr_matop.c:937-940,par_csr_matop.c:946-946,par_csr_matop.c:968-970
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.67
CQA cycles if no scalar integer	2.67
CQA cycles if FP arith vectorized	7.67
CQA cycles if fully vectorized	1.92
Front-end cycles	4.63
P0 cycles	4.50
P1 cycles	4.50
P2 cycles	1.25
P3 cycles	1.25
P4 cycles	1.25
P5 cycles	1.25
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	7.67
P11 cycles	7.67
P12 cycles	7.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	37.00
Nb uops	37.00
Nb loads	NA
Nb stores	0.00
Nb stack references	2.00
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	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
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	NA
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	25.00
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	NA
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	25.00

Path /

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

Function	hypre_ParMatmul.omp_outlined.6
Source file and lines	par_csr_matop.c:865-989
Module	exec

The loop is defined in /home/eoseret/qaas/qaas_runs/178-188-3659/intel/AMG/build/AMG/AMG/parcsr_mv/par_csr_matop.c:865,874-879,886-891,897-899,907-928,937-940,946-948,956-972,980-989.

Analyzed code is defined in /home/eoseret/qaas/qaas_runs/178-188-3659/intel/AMG/build/AMG/AMG/parcsr_mv/par_csr_matop.c:937-940,946,968-970.

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 7.67 to 2.67 cycles (2.87x 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. 4 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 7.67 to 1.92 cycles (4.00x 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 does not load or store any data.

General properties

nb instructions	37
nb uops	37
loop length	148
used w registers	0
used x registers	22
used b registers	0
used h registers	0
used s registers	1
used d registers	1
used q registers	0
used v registers	0
used z registers	0
nb stack references	2

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	4.63 cycles
front end	4.63 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	1.25	1.25	1.25	1.25	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00
cycles	4.50	4.50	1.25	1.25	1.25	1.25	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P7 (128 bits): VPU, ALU, FP store data
P8 (128 bits): VPU, ALU, DIV/SQRT
P9 (128 bits): ALU, VPU
P10 (256 bits): store address, load
P11 (256 bits): store address, load
P12 (256 bits): load
P13 (64 bits): store data
P14 (64 bits): store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	4.63
Dispatch	7.67
Overall L1	7.67

Vectorization ratios

all	0%
load	0%
store	NA (no store vectorizable/vectorized instructions)
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	25%
load	25%
store	NA (no store vectorizable/vectorized instructions)
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	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.67 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 488460

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	Latency	Recip. throughput	Vectorization
B 488438 <hypre_ParMatmul.omp_outlined.6+0x408>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDP X9, X8, [SP, #64]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X4, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X5, [X8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDP X9, X8, [SP, #80]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X6, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X7, [X8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
B 488470 <hypre_ParMatmul.omp_outlined.6+0x440>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X15, X26,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X3, X3, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X3, X8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.GE 488240 <hypre_ParMatmul.omp_outlined.6+0x210>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X16, X3,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D0, [X17, X3,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X30, X8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
LDR X9, [X18, X8,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X27, [X18, X30,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X9, X27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.GE 4884f4 <hypre_ParMatmul.omp_outlined.6+0x4c4>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X10, [X29, #464]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X23, [X25]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X24, [X21]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X10, [X10]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
B 4884bc <hypre_ParMatmul.omp_outlined.6+0x48c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X9, [X28]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
CBZ X9, 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X5, X8,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X23, [X5, X30,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
CMP X8, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	N/A
B.GE 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X9, [X29, #456]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDP X10, X11, [X29, #1000]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X9, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X10, [X10]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X27, [X11]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
B 488540 <hypre_ParMatmul.omp_outlined.6+0x510>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
B 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A

Function	hypre_ParMatmul.omp_outlined.6
Source file and lines	par_csr_matop.c:865-989
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 7.67 to 2.67 cycles (2.87x 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. 4 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 7.67 to 1.92 cycles (4.00x 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 does not load or store any data.

General properties

nb instructions	37
nb uops	37
loop length	148
used w registers	0
used x registers	22
used b registers	0
used h registers	0
used s registers	1
used d registers	1
used q registers	0
used v registers	0
used z registers	0
nb stack references	2

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	4.63 cycles
front end	4.63 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	1.25	1.25	1.25	1.25	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00
cycles	4.50	4.50	1.25	1.25	1.25	1.25	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P7 (128 bits): VPU, ALU, FP store data
P8 (128 bits): VPU, ALU, DIV/SQRT
P9 (128 bits): ALU, VPU
P10 (256 bits): store address, load
P11 (256 bits): store address, load
P12 (256 bits): load
P13 (64 bits): store data
P14 (64 bits): store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	4.63
Dispatch	7.67
Overall L1	7.67

Vectorization ratios

all	0%
load	0%
store	NA (no store vectorizable/vectorized instructions)
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	25%
load	25%
store	NA (no store vectorizable/vectorized instructions)
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	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.67 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 488460

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	Latency	Recip. throughput	Vectorization
B 488438 <hypre_ParMatmul.omp_outlined.6+0x408>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDP X9, X8, [SP, #64]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X4, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X5, [X8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDP X9, X8, [SP, #80]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X6, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X7, [X8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
B 488470 <hypre_ParMatmul.omp_outlined.6+0x440>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X15, X26,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X3, X3, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X3, X8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.GE 488240 <hypre_ParMatmul.omp_outlined.6+0x210>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X16, X3,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D0, [X17, X3,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X30, X8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
LDR X9, [X18, X8,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X27, [X18, X30,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X9, X27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.GE 4884f4 <hypre_ParMatmul.omp_outlined.6+0x4c4>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X10, [X29, #464]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X23, [X25]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X24, [X21]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
LDR X10, [X10]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
B 4884bc <hypre_ParMatmul.omp_outlined.6+0x48c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X9, [X28]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
CBZ X9, 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X5, X8,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X23, [X5, X30,LSL #3]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
CMP X8, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	N/A
B.GE 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X9, [X29, #456]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDP X10, X11, [X29, #1000]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X9, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X10, [X10]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X27, [X11]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
B 488540 <hypre_ParMatmul.omp_outlined.6+0x510>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
B 488460 <hypre_ParMatmul.omp_outlined.6+0x430>	1	0.50	0.50	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

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

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

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code