OV - exec - Loop 222

	Loop Id: 222	Module: exec	Source: calc_dt.cpp:49-75 [...]	Coverage: NA%

0x433720 SBFM	X0, X2, #0, #31

0x433724 SUB	W3, W5, #1

0x433728 LDR	X4, [X21]

0x43372c ADD	W1, W2, #1

0x433730 ADD	X2, X0, #1

0x433734 ADD	X7, X2, X3

0x433738 SBFM	X1, X1, #0, #31

0x43373c LDR	X8, [X22]

0x433740 LDR	X9, [X23]

0x433744 UBFM	X16, X4, #61, #60

0x433748 LDR	X4, [X25]

0x43374c UBFM	X10, X8, #61, #60

0x433750 LDR	X13, [X24]

0x433754 MUL	X12, X6, X9

0x433758 LDR	X11, [X23, #16]

0x43375c MUL	X9, X6, X4

0x433760 LDR	X3, [X22, #16]

0x433764 MUL	X5, X6, X13

0x433768 LDR	X8, [X25, #16]

0x43376c ADD	X14, X11, X12,LSL #3

0x433770 LDR	X15, [X24, #16]

0x433774 LDR	X4, [X27]

0x433778 ADD	X12, X8, X9,LSL #3

0x43377c MADD	X9, X6, X10, X3

0x433780 LDR	X8, [X28]

0x433784 MADD	X3, X17, X10, X3

0x433788 LDR	X10, [X26]

0x43378c ADD	X13, X15, X5,LSL #3

0x433790 LDR	X15, [X26, #16]

0x433794 LDR	X5, [X20, #8]

0x433798 MUL	X11, X6, X10

0x43379c UBFM	X10, X4, #61, #60

0x4337a0 ADD	X11, X15, X11,LSL #3

0x4337a4 LDR	X15, [X28, #16]

0x4337a8 LDR	D25, [X5, X6,LSL #3]

0x4337ac MUL	X5, X6, X8

0x4337b0 ADD	X4, X15, X5,LSL #3

0x4337b4 LDR	X15, [X21, #16]

0x4337b8 MADD	X8, X6, X16, X15

0x4337bc MADD	X5, X17, X16, X15

0x4337c0 LDR	X16, [X27, #16]

0x4337c4 LDR	X15, [SP, #112]

0x4337c8 MADD	X6, X6, X10, X16

0x4337cc MADD	X10, X17, X10, X16

0x4337d0 LDR	X16, [X15, #8]

0x4337d4 HINT	#0

0x4337d8 HINT	#0

0x4337dc HINT	#0

  (221) 0x4337e0 LDR	D28, [X9, X0,LSL #3]

  (221) 0x4337e4 LDR	D29, [X3, X0,LSL #3]

  (221) 0x4337e8 LDR	D30, [X8, X0,LSL #3]

  (221) 0x4337ec LDR	D7, [X5, X0,LSL #3]

  (221) 0x4337f0 LDR	D6, [X8, X1,LSL #3]

  (221) 0x4337f4 FADD	D0, D28, D29

  (221) 0x4337f8 LDR	D1, [X3, X1,LSL #3]

  (221) 0x4337fc LDR	D3, [X5, X1,LSL #3]

  (221) 0x433800 LDR	D31, [X9, X1,LSL #3]

  (221) 0x433804 FADD	D2, D30, D6

  (221) 0x433808 LDR	D4, [X4, X0,LSL #3]

  (221) 0x43380c LDR	D29, [X6, X0,LSL #3]

  (221) 0x433810 LDR	D6, [X10, X0,LSL #3]

  (221) 0x433814 FADD	D31, D31, D1

  (221) 0x433818 FADD	D1, D7, D3

  (221) 0x43381c LDR	D5, [X4, X1,LSL #3]

  (221) 0x433820 FMUL	D28, D0, D4

  (221) 0x433824 LDR	D3, [X13, X0,LSL #3]

  (221) 0x433828 FMUL	D30, D2, D29

  (221) 0x43382c FMUL	D7, D1, D6

  (221) 0x433830 LDR	D0, [X12, X0,LSL #3]

  (221) 0x433834 FMUL	D31, D31, D5

  (221) 0x433838 LDR	D4, [X11, X0,LSL #3]

  (221) 0x43383c FABS	D2, D28

  (221) 0x433840 FADD	D5, D28, D30

  (221) 0x433844 FADD	D6, D3, D3

  (221) 0x433848 LDR	D29, [X16, X0,LSL #3]

  (221) 0x43384c FABS	D30, D30

  (221) 0x433850 FMINNM	D1, D25, D29

  (221) 0x433854 FMUL	D29, D1, D22

  (221) 0x433858 LDR	D28, [X14, X0,LSL #3]

  (221) 0x43385c ORR	X0, XZR, X2

  (221) 0x433860 FABS	D3, D31

  (221) 0x433864 FADD	D31, D31, D7

  (221) 0x433868 FMAXNM	D2, D2, D3

  (221) 0x43386c FABS	D7, D7

  (221) 0x433870 FMAXNM	D30, D30, D7

  (221) 0x433874 FMUL	D3, D23, D4

  (221) 0x433878 FDIV	D7, D6, D0

  (221) 0x43387c FMUL	D1, D24, D4

  (221) 0x433880 FMUL	D0, D4, D26

  (221) 0x433884 FMAXNM	D6, D2, D0

  (221) 0x433888 FMAXNM	D2, D30, D0

  (221) 0x43388c FSUB	D5, D31, S5

  (221) 0x433890 FDIV	D3, D3, D6

  (221) 0x433894 FMUL	D31, D5, D19

  (221) 0x433898 FDIV	D1, D1, D2

  (221) 0x43389c FMINNM	D30, D3, D1

  (221) 0x4338a0 FMADD	D28, D28, D28, D7

  (221) 0x4338a4 FDIV	D4, D31, D4

  (221) 0x4338a8 FSQRT	D7, D28

  (221) 0x4338ac FMAXNM	D0, D7, D26

  (221) 0x4338b0 FDIV	D29, D29, D0

  (221) 0x4338b4 FMINNM	D6, D29, D20

  (221) 0x4338b8 FMINNM	D2, D30, D6

  (221) 0x4338bc FCMPE	D4, D21

  (221) 0x4338c0 B.GE	43392c

  (221) 0x4338c4 FDIV	D5, D17, D4

  (221) 0x4338c8 ADD	X1, X1, #1

  (221) 0x4338cc FMUL	D3, D5, D18

  (221) 0x4338d0 FMINNM	D31, D3, D6

  (221) 0x4338d4 FMINNM	D1, D31, D30

  (221) 0x4338d8 FMINNM	D27, D27, D1

  (221) 0x4338dc CMP	X2, X7

  (221) 0x4338e0 B.EQ	43393c

  (221) 0x4338e4 ADD	X2, X2, #1

  (221) 0x4338e8 B	4337e0

  (221) 0x43392c ADD	X1, X1, #1

  (221) 0x433930 FMINNM	D27, D27, D2

  (221) 0x433934 CMP	X7, X2

  (221) 0x433938 B.NE	4338e4

0x43393c MOVZ	W7, #1

0x433940 ADD	X17, X17, #1

0x433944 ORR	X6, XZR, X18

0x433948 CMP	W30, W18

0x43394c B.LE	433990

0x433950 LDR	W14, [SP, #104]

0x433954 ORR	W13, WZR, W19

0x433958 ADD	X18, X18, #1

0x43395c LDR	W2, [SP, #96]

0x433960 SUB	W10, W14, W19

0x433964 LDR	W19, [SP, #100]

0x433968 CMP	W10, W19

0x43396c CSEL	W5, W10, W19, #9

0x433970 ADD	W19, W13, W5

0x433974 CMP	W13, W19

0x433978 B.CC	433720

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp: 49 - 75

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

49: #pragma omp parallel for simd collapse(2) reduction(min : dt_min_val0)

50:   for (int j = (y_min + 1); j < (y_max + 2); j++) {

51:     for (int i = (x_min + 1); i < (x_max + 2); i++) {

52:       double dsx = celldx[i];

53:       double dsy = celldy[j];

54:       double cc = soundspeed(i, j) * soundspeed(i, j);

55:       cc = cc + 2.0 * viscosity_a(i, j) / density0(i, j);

56:       cc = std::fmax(std::sqrt(cc), g_small);

57:       double dtct = dtc_safe * std::fmin(dsx, dsy) / cc;

58:       double div = 0.0;

59:       double dv1 = (xvel0(i, j) + xvel0(i + 0, j + 1)) * xarea(i, j);

60:       double dv2 = (xvel0(i + 1, j + 0) + xvel0(i + 1, j + 1)) * xarea(i + 1, j + 0);

61:       div = div + dv2 - dv1;

62:       double dtut = dtu_safe * 2.0 * volume(i, j) / std::fmax(std::fmax(std::fabs(dv1), std::fabs(dv2)), g_small * volume(i, j));

63:       dv1 = (yvel0(i, j) + yvel0(i + 1, j + 0)) * yarea(i, j);

64:       dv2 = (yvel0(i + 0, j + 1) + yvel0(i + 1, j + 1)) * yarea(i + 0, j + 1);

65:       div = div + dv2 - dv1;

66:       double dtvt = dtv_safe * 2.0 * volume(i, j) / std::fmax(std::fmax(std::fabs(dv1), std::fabs(dv2)), g_small * volume(i, j));

67:       div = div / (2.0 * volume(i, j));

68:       double dtdivt;

69:       if (div < -g_small) {

70:         dtdivt = dtdiv_safe * (-1.0 / div);

71:       } else {

72:         dtdivt = g_big;

73:       }

74:       double mins = std::fmin(dtct, std::fmin(dtut, std::fmin(dtvt, std::fmin(dtdivt, g_big))));

75:       dt_min_val0 = std::fmin(mins, dt_min_val0);

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h: 69 - 69

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

69:   T &operator()(size_t i, size_t j) const { return data[i + j * sizeX]; }

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	12.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.99
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.17
Bottlenecks	P2, P3, P4, P5,
Function	calc_dt_kernel(int, int, int, int, double, double, double, double, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, double&, int&, double&, double&, int&, int&, int&) [clone ._omp_fn.0]
Source	calc_dt.cpp:51-53,calc_dt.cpp:56-56,calc_dt.cpp:75-75,context.h:69-69
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	9.00
CQA cycles if no scalar integer	0.75
CQA cycles if FP arith vectorized	9.00
CQA cycles if fully vectorized	4.53
Front-end cycles	7.63
P0 cycles	1.00
P1 cycles	1.00
P2 cycles	9.00
P3 cycles	9.00
P4 cycles	9.00
P5 cycles	9.00
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	64.00
Nb uops	61.00
Nb loads	NA
Nb stores	0.00
Nb stack references	4.00
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	1.00
Bytes prefetched	0.00
Bytes loaded	9.00
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	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	26.22
Vector-efficiency ratio load	23.33
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	21.59
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	39.06

Metric	Value
CQA speedup if no scalar integer	12.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.99
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.17
Bottlenecks	P2, P3, P4, P5,
Function	calc_dt_kernel(int, int, int, int, double, double, double, double, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, double&, int&, double&, double&, int&, int&, int&) [clone ._omp_fn.0]
Source	calc_dt.cpp:51-53,calc_dt.cpp:56-56,calc_dt.cpp:75-75,context.h:69-69
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	9.00
CQA cycles if no scalar integer	0.75
CQA cycles if FP arith vectorized	9.00
CQA cycles if fully vectorized	4.53
Front-end cycles	7.63
P0 cycles	1.00
P1 cycles	1.00
P2 cycles	9.00
P3 cycles	9.00
P4 cycles	9.00
P5 cycles	9.00
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	64.00
Nb uops	61.00
Nb loads	NA
Nb stores	0.00
Nb stack references	4.00
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	1.00
Bytes prefetched	0.00
Bytes loaded	9.00
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	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	26.22
Vector-efficiency ratio load	23.33
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	21.59
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	39.06

Path /

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

Function	calc_dt_kernel(int, int, int, int, double, double, double, double, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, double&, int&, double&, double&, int&, int&, int&) [clone ._omp_fn.0]
Source file and lines	calc_dt.cpp:49-75
Module	exec

The loop is defined in:

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp:49-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:69

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 9.00 to 0.75 cycles (12.00x 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. Only 26% of vector register length is used (average across all VPU instructions). By vectorizing your loop, you can lower the cost of an iteration from 9.00 to 4.53 cycles (1.99x speedup).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized loop can use their full power.

Workaround

Try another compiler or update/tune your current one
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

No data for this section

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 9 bytes.

General properties

nb instructions	64
nb uops	61
loop length	256
used w registers	12
used x registers	29
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	4

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	7.63 cycles
front end	7.63 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	9.00	9.00	9.00	9.00	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00
cycles	1.00	1.00	9.00	9.00	9.00	9.00	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	7.63
Dispatch	9.00
Overall L1	9.00

Vectorization ratios

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

Vector efficiency ratios

all	26%
load	23%
store	NA (no store vectorizable/vectorized instructions)
mul	25%
add-sub	21%
fma	25%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	39%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 9.00 cycles. At this rate:

1% of peak load performance is reached (1.00 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 433950

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
SBFM X0, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
SUB W3, W5, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR X4, [X21]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD W1, W2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X2, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X7, X2, X3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
SBFM X1, X1, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
LDR X8, [X22]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X9, [X23]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X16, X4, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X4, [X25]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X10, X8, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X13, [X24]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MUL X12, X6, X9	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X11, [X23, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X9, X6, X4	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X3, [X22, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X5, X6, X13	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X8, [X25, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X14, X11, X12,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X24, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X4, [X27]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X12, X8, X9,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MADD X9, X6, X10, X3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X8, [X28]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MADD X3, X17, X10, X3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X10, [X26]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X13, X15, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X15, [X26, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X5, [X20, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MUL X11, X6, X10	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
UBFM X10, X4, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X15, X11,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X28, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR D25, [X5, X6,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 (25.0%)
MUL X5, X6, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
ADD X4, X15, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X21, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MADD X8, X6, X16, X15	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
MADD X5, X17, X16, X15	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X16, [X27, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X15, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MADD X6, X6, X10, X16	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
MADD X10, X17, X10, X16	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X16, [X15, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
MOVZ W7, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X17, X17, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ORR X6, XZR, X18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W30, W18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 433990 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x3b0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W14, [SP, #104]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ORR W13, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X18, X18, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W2, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W10, W14, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR W19, [SP, #100]	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 W10, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W5, W10, W19, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD W19, W13, W5	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W13, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.CC 433720 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x140>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	calc_dt_kernel(int, int, int, int, double, double, double, double, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, double&, int&, double&, double&, int&, int&, int&) [clone ._omp_fn.0]
Source file and lines	calc_dt.cpp:49-75
Module	exec

The loop is defined in:

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp:49-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:69

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 9.00 to 0.75 cycles (12.00x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vectorization

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized loop can use their full power.

Workaround

Try another compiler or update/tune your current one
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

No data for this section

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 9 bytes.

General properties

nb instructions	64
nb uops	61
loop length	256
used w registers	12
used x registers	29
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	4

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	7.63 cycles
front end	7.63 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	9.00	9.00	9.00	9.00	0.00	0.00	0.00	0.00	7.67	7.67	7.67	0.00	0.00
cycles	1.00	1.00	9.00	9.00	9.00	9.00	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	7.63
Dispatch	9.00
Overall L1	9.00

Vectorization ratios

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

Vector efficiency ratios

all	26%
load	23%
store	NA (no store vectorizable/vectorized instructions)
mul	25%
add-sub	21%
fma	25%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	39%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 9.00 cycles. At this rate:

1% of peak load performance is reached (1.00 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 433950

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
SBFM X0, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
SUB W3, W5, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR X4, [X21]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD W1, W2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X2, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X7, X2, X3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
SBFM X1, X1, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
LDR X8, [X22]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X9, [X23]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X16, X4, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X4, [X25]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X10, X8, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X13, [X24]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MUL X12, X6, X9	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X11, [X23, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X9, X6, X4	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X3, [X22, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X5, X6, X13	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X8, [X25, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X14, X11, X12,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X24, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X4, [X27]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X12, X8, X9,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MADD X9, X6, X10, X3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X8, [X28]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MADD X3, X17, X10, X3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X10, [X26]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X13, X15, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X15, [X26, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X5, [X20, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MUL X11, X6, X10	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
UBFM X10, X4, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X15, X11,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X28, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR D25, [X5, X6,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 (25.0%)
MUL X5, X6, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
ADD X4, X15, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X15, [X21, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MADD X8, X6, X16, X15	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
MADD X5, X17, X16, X15	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X16, [X27, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X15, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MADD X6, X6, X10, X16	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
MADD X10, X17, X10, X16	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X16, [X15, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
MOVZ W7, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X17, X17, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ORR X6, XZR, X18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W30, W18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 433990 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x3b0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W14, [SP, #104]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ORR W13, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X18, X18, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W2, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W10, W14, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR W19, [SP, #100]	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 W10, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W5, W10, W19, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD W19, W13, W5	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W13, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.CC 433720 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x140>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_NUM_THREADS: 1OMP_PLACES: threads
Run 1x2	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 2OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x4	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 4OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x8	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 8OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x16	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 16OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x24	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 24OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x32	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 32OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x40	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 40OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x48	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 48OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x56	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 56OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x64	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 64OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads

(1x1) Efficiency	(1x1) Potential Speed-Up (%)	(1x2) Efficiency	(1x2) Potential Speed-Up (%)	(1x4) Efficiency	(1x4) Potential Speed-Up (%)	(1x8) Efficiency	(1x8) Potential Speed-Up (%)	(1x16) Efficiency	(1x16) Potential Speed-Up (%)	(1x24) Efficiency	(1x24) Potential Speed-Up (%)	(1x32) Efficiency	(1x32) Potential Speed-Up (%)	(1x40) Efficiency	(1x40) Potential Speed-Up (%)	(1x48) Efficiency	(1x48) Potential Speed-Up (%)	(1x56) Efficiency	(1x56) Potential Speed-Up (%)	(1x64) Efficiency	(1x64) Potential Speed-Up (%)
						1	0	1	0	1	0	1	0	1	0	1	0	1	0	1	0

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x1
1x2
1x4
1x8	1	1	1	8	0.025000000372529	0.001462392276153
1x16	1	1	1	16	0.019999999552965	0.00078033457975835
1x24	8	1	1	24	0.03999999910593	0.0052120410837233
1x32	23	1	1	32	0.035000000149012	0.011710320599377
1x40	27	1	1	40	0.045000001788139	0.010906419716775
1x48	38	1	1	48	0.03999999910593	0.014111624099314
1x56	42	1	1	56	0.040000002831221	0.014579595066607
1x64	48	1	1	64	0.054999995976686	0.013254126533866

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

▶Scalability Runs Description

▼Columns Filter

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency