OV - exec - Loop 232

	Loop Id: 232	Module: exec	Source: calc_dt.cpp:51-75 [...]	Coverage: 4.52%

0x42e040 LDP	X3, X1, [X20, #72]    [5]

0x42e044 LDR	X2, [X20, #88]    [5]

0x42e048 LDR	X0, [X1]    [17]

0x42e04c LDR	X4, [X1, #16]    [17]

0x42e050 LDR	X1, [X3]    [20]

0x42e054 MADD	X0, X22, X0, X19

0x42e058 LDR	X3, [X3, #16]    [20]

0x42e05c LDR	D31, [X4, X0,LSL #3]    [1]

0x42e060 MADD	X1, X22, X1, X19

0x42e064 LDR	X0, [X2]    [15]

0x42e068 LDR	D30, [X3, X1,LSL #3]    [19]

0x42e06c FADD	D31, D31, D31

0x42e070 LDR	X3, [X2, #16]    [15]

0x42e074 MADD	X0, X22, X0, X19

0x42e078 LDP	X1, X2, [X20, #48]    [5]

0x42e07c LDR	D0, [X3, X0,LSL #3]    [18]

0x42e080 FDIV	D31, D31, D30

0x42e084 LDR	X1, [X1, #8]    [12]

0x42e088 LDR	X0, [X2, #8]    [14]

0x42e08c LDR	D24, [X1, X19,LSL #3]    [11]

0x42e090 LDR	D30, [X0, X6]    [9]

0x42e094 FMADD	D0, D0, D0, D31

0x42e098 FCMP	D0, #0

0x42e09c B.PL	42e0d0

0x42e0a0 STP	D27, D26, [SP, #168]    [4]

0x42e0a4 STR	D25, [SP, #184]    [4]

0x42e0a8 STR	W5, [SP, #196]    [4]

0x42e0ac STP	D24, D30, [SP, #200]    [4]

0x42e0b0 STR	X6, [SP, #216]    [4]

0x42e0b4 BL	4106a0

0x42e0b8 LDR	D25, [SP, #184]    [4]

0x42e0bc LDR	X6, [SP, #216]    [4]

0x42e0c0 LDP	D27, D26, [SP, #168]    [4]

0x42e0c4 LDP	D24, D30, [SP, #200]    [4]

0x42e0c8 LDR	W5, [SP, #196]    [4]

0x42e0cc B	42e0d4

0x42e0d0 FSQRT	D0, D0

0x42e0d4 LDP	X0, X11, [X20, #96]    [5]

0x42e0d8 FMINNM	D24, D24, D30

0x42e0dc FMUL	D24, D12, D24

0x42e0e0 FMAXNM	D0, D0, D15

0x42e0e4 LDP	X4, X12, [X20, #32]    [5]

0x42e0e8 FDIV	D24, D24, D0

0x42e0ec LDR	X2, [X0]    [8]

0x42e0f0 LDR	X8, [X0, #16]    [8]

0x42e0f4 LDR	X0, [X4]    [22]

0x42e0f8 MUL	X1, X2, X22

0x42e0fc LDR	X9, [X4, #16]    [22]

0x42e100 ADD	X2, X2, X1

0x42e104 ADD	X7, X1, X21

0x42e108 LDR	X3, [X11]    [6]

0x42e10c ADD	X10, X2, X21

0x42e110 MUL	X0, X22, X0

0x42e114 ADD	X4, X2, X19

0x42e118 LDR	D28, [X8, X7,LSL #3]    [2]

0x42e11c ADD	X2, X1, X19

0x42e120 LDR	D30, [X8, X10,LSL #3]    [2]

0x42e124 ADD	X14, X0, X21

0x42e128 ADD	X1, X0, X19

0x42e12c MUL	X7, X3, X22

0x42e130 LDR	D31, [X8, X4,LSL #3]    [2]

0x42e134 LDR	D29, [X9, X14,LSL #3]    [3]

0x42e138 ADD	X0, X3, X7

0x42e13c ADD	X10, X7, X19

0x42e140 ADD	X3, X0, X21

0x42e144 ADD	X13, X0, X19

0x42e148 FADD	D28, D28, D30

0x42e14c LDR	D30, [X8, X2,LSL #3]    [2]

0x42e150 ADD	X7, X7, X21

0x42e154 LDR	D21, [X9, X1,LSL #3]    [3]

0x42e158 LDR	X0, [X12]    [7]

0x42e15c FMUL	D28, D28, D29

0x42e160 FADD	D30, D30, D31

0x42e164 LDR	X2, [X11, #16]    [6]

0x42e168 LDR	X4, [X12, #16]    [7]

0x42e16c MUL	X1, X0, X22

0x42e170 LDR	D22, [X2, X3,LSL #3]    [13]

0x42e174 FMUL	D30, D30, D21

0x42e178 FADD	D31, D28, D10

0x42e17c ADD	X0, X0, X1

0x42e180 LDR	D29, [X2, X13,LSL #3]    [13]

0x42e184 ADD	X0, X0, X19

0x42e188 FABS	D23, D28

0x42e18c ADD	X1, X1, X19

0x42e190 LDR	X3, [X20, #64]    [5]

0x42e194 LDR	D21, [X4, X0,LSL #3]    [21]

0x42e198 FSUB	D31, D31, S30

0x42e19c FABS	D30, D30

0x42e1a0 FMAXNM	D30, D30, D23

0x42e1a4 LDR	D28, [X2, X10,LSL #3]    [13]

0x42e1a8 FADD	D29, D29, D22

0x42e1ac LDR	D23, [X2, X7,LSL #3]    [13]

0x42e1b0 LDR	X0, [X3]    [16]

0x42e1b4 LDR	D22, [X4, X1,LSL #3]    [21]

0x42e1b8 FMUL	D29, D29, D21

0x42e1bc FADD	D28, D28, D23

0x42e1c0 LDR	X1, [X3, #16]    [16]

0x42e1c4 MADD	X0, X22, X0, X19

0x42e1c8 FADD	D31, D31, D29

0x42e1cc FABS	D23, D29

0x42e1d0 LDR	D29, [X1, X0,LSL #3]    [10]

0x42e1d4 FMUL	D28, D28, D22

0x42e1d8 FADD	D20, D29, D29

0x42e1dc FMUL	D22, D13, D29

0x42e1e0 FSUB	D31, D31, S28

0x42e1e4 FMUL	D21, D14, D29

0x42e1e8 FABS	D28, D28

0x42e1ec FMUL	D29, D29, D15

0x42e1f0 FMAXNM	D28, D28, D23

0x42e1f4 FMAXNM	D30, D30, D29

0x42e1f8 FMAXNM	D29, D29, D28

0x42e1fc FDIV	D22, D22, D30

0x42e200 FDIV	D31, D31, D20

0x42e204 FDIV	D21, D21, D29

0x42e208 FCMPE	D31, D11

0x42e20c B.MI	42e23c

0x42e210 LDR	D31, [SP, #224]    [4]

0x42e214 FMINNM	D21, D21, D9

0x42e218 FMINNM	D22, D22, D21

0x42e21c FMINNM	D22, D24, D22

0x42e220 FMINNM	D22, D22, D31

0x42e224 STR	D22, [SP, #224]    [4]

0x42e228 CMP	X21, X23

0x42e22c B.EQ	42e268

0x42e230 ORR	X19, XZR, X21

0x42e234 ADD	X21, X21, #1

0x42e238 B	42e040

0x42e23c FDIV	D31, D8, D31

0x42e240 LDR	D30, [SP, #224]    [4]

0x42e244 FMUL	D31, D31, D27

0x42e248 FMINNM	D31, D31, D9

0x42e24c FMINNM	D21, D21, D31

0x42e250 FMINNM	D22, D22, D21

0x42e254 FMINNM	D24, D24, D22

0x42e258 FMINNM	D31, D30, D24

0x42e25c STR	D31, [SP, #224]    [4]

0x42e260 CMP	X21, X23

0x42e264 B.NE	42e230

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp: 51 - 75

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

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: 46 - 69

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

46:   T &operator[](size_t i) const { return data[i]; }

[...]

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

Coverage (%)	Name	Source Location	Module
►98.40+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►1.60+	GOMP_parallel		libgomp.so.1.0.0
○	calc_dt_kernel(int, int, int, [...]	calc_dt.cpp:83	exec
○	calc_dt(global_variables&, int[...]	calc_dt.cpp:131	exec
○	timestep(global_variables&, pa[...]	timestep.cpp:80	exec
○	hydro(global_variables&, paral[...]	hydro.cpp:60	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	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	2.12 - 2.74
CQA speedup if FP arith vectorized	1.83
CQA speedup if fully vectorized	3.12 - 2.01
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	NA
Bottlenecks
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:51-75,context.h:46-46,context.h:69-69
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	16.42 - 21.23
CQA cycles if no scalar integer	7.75
CQA cycles if FP arith vectorized	10.21 - 11.62
CQA cycles if fully vectorized	5.25 - 10.55
Front-end cycles	15.25
P0 cycles	2.50
P1 cycles	2.50
P2 cycles	6.63
P3 cycles	6.63
P4 cycles	6.63
P5 cycles	6.63
P6 cycles	11.13
P7 cycles	11.13
P8 cycles	11.13
P9 cycles	11.13
P10 cycles	16.42
P11 cycles	16.25
P12 cycles	16.33
P13 cycles	0.50
P14 cycles	0.50
DIV/SQRT cycles	10.51 - 21.10
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	122.00
Nb uops	122.00
Nb loads	NA
Nb stores	3.50
Nb stack references	7.00
FLOP/cycle	1.61 - 1.25
Nb FLOP add-sub	10.00
Nb FLOP mul	8.50
Nb FLOP fma	1.00
Nb FLOP div	5.50
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.50
Nb FLOP rsqrt	0.00
Bytes/cycle	0.15 - 0.17
Bytes prefetched	0.00
Bytes loaded	1.50
Bytes stored	1.50
Stride 0	2.00
Stride 1	0.00
Stride n	0.00
Stride unknown	12.50
Stride indirect	7.50
Vectorization ratio all	2.82
Vectorization ratio load	4.35
Vectorization ratio store	16.67
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.53
Vector-efficiency ratio load	25.82
Vector-efficiency ratio store	28.13
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	25.00

Metric	Value
CQA speedup if no scalar integer	2.08
CQA speedup if FP arith vectorized	1.53
CQA speedup if fully vectorized	4.11 - 2.06
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	NA
Bottlenecks	P10, P11, P12,
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:51-75,context.h:46-46,context.h:69-69
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	18.00
CQA cycles if no scalar integer	8.67
CQA cycles if FP arith vectorized	11.75
CQA cycles if fully vectorized	4.38 - 8.74
Front-end cycles	15.75
P0 cycles	3.00
P1 cycles	3.00
P2 cycles	6.75
P3 cycles	6.75
P4 cycles	6.75
P5 cycles	6.75
P6 cycles	11.00
P7 cycles	11.00
P8 cycles	11.00
P9 cycles	11.00
P10 cycles	18.00
P11 cycles	18.00
P12 cycles	18.00
P13 cycles	1.00
P14 cycles	1.00
DIV/SQRT cycles	8.76 - 17.48
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	126.00
Nb uops	126.00
Nb loads	NA
Nb stores	6.00
Nb stack references	12.00
FLOP/cycle	1.39
Nb FLOP add-sub	10.00
Nb FLOP mul	8.00
Nb FLOP fma	1.00
Nb FLOP div	5.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.33
Bytes prefetched	0.00
Bytes loaded	3.00
Bytes stored	3.00
Stride 0	2.00
Stride 1	0.00
Stride n	0.00
Stride unknown	12.00
Stride indirect	8.00
Vectorization ratio all	5.71
Vectorization ratio load	8.70
Vectorization ratio store	33.33
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	26.07
Vector-efficiency ratio load	26.63
Vector-efficiency ratio store	31.25
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	25.00

Metric	Value
CQA speedup if no scalar integer	2.08 - 2.42
CQA speedup if FP arith vectorized	1.79
CQA speedup if fully vectorized	3.43 - 2.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.12 - 1.17
Bottlenecks	P6, P8,
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:51-75,context.h:46-46,context.h:69-69
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	18.00 - 20.98
CQA cycles if no scalar integer	8.67
CQA cycles if FP arith vectorized	11.75
CQA cycles if fully vectorized	5.25 - 10.49
Front-end cycles	16.13
P0 cycles	3.00
P1 cycles	3.00
P2 cycles	6.75
P3 cycles	6.75
P4 cycles	6.75
P5 cycles	6.75
P6 cycles	11.75
P7 cycles	11.75
P8 cycles	11.75
P9 cycles	11.75
P10 cycles	18.00
P11 cycles	18.00
P12 cycles	18.00
P13 cycles	1.00
P14 cycles	1.00
DIV/SQRT cycles	10.51 - 20.98
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	129.00
Nb uops	129.00
Nb loads	NA
Nb stores	6.00
Nb stack references	12.00
FLOP/cycle	1.50 - 1.29
Nb FLOP add-sub	10.00
Nb FLOP mul	9.00
Nb FLOP fma	1.00
Nb FLOP div	6.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.29 - 0.33
Bytes prefetched	0.00
Bytes loaded	3.00
Bytes stored	3.00
Stride 0	2.00
Stride 1	0.00
Stride n	0.00
Stride unknown	12.00
Stride indirect	8.00
Vectorization ratio all	5.56
Vectorization ratio load	8.70
Vectorization ratio store	33.33
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	26.04
Vector-efficiency ratio load	26.63
Vector-efficiency ratio store	31.25
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	25.00

Metric	Value
CQA speedup if no scalar integer	2.17 - 3.11
CQA speedup if FP arith vectorized	2.00
CQA speedup if fully vectorized	2.82 - 2.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.01 - 1.43
Bottlenecks	P6, P8,
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:51-75,context.h:46-46,context.h:69-69
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	14.83 - 21.23
CQA cycles if no scalar integer	6.83
CQA cycles if FP arith vectorized	8.67 - 10.61
CQA cycles if fully vectorized	5.25 - 10.61
Front-end cycles	14.38
P0 cycles	2.00
P1 cycles	2.00
P2 cycles	6.50
P3 cycles	6.50
P4 cycles	6.50
P5 cycles	6.50
P6 cycles	10.50
P7 cycles	10.50
P8 cycles	10.50
P9 cycles	10.50
P10 cycles	14.83
P11 cycles	14.50
P12 cycles	14.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	10.51 - 21.23
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	115.00
Nb uops	115.00
Nb loads	NA
Nb stores	1.00
Nb stack references	2.00
FLOP/cycle	1.75 - 1.22
Nb FLOP add-sub	10.00
Nb FLOP mul	8.00
Nb FLOP fma	1.00
Nb FLOP div	5.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	1.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
Stride 0	2.00
Stride 1	0.00
Stride n	0.00
Stride unknown	13.00
Stride indirect	7.00
Vectorization ratio all	0.00
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.00
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	25.00
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	25.00

Metric	Value
CQA speedup if no scalar integer	2.17 - 3.62
CQA speedup if FP arith vectorized	2.00
CQA speedup if fully vectorized	2.42 - 2.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.01 - 1.67
Bottlenecks	P6, P8,
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:51-75,context.h:46-46,context.h:69-69
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	14.83 - 24.72
CQA cycles if no scalar integer	6.83
CQA cycles if FP arith vectorized	8.67 - 12.36
CQA cycles if fully vectorized	6.13 - 12.36
Front-end cycles	14.75
P0 cycles	2.00
P1 cycles	2.00
P2 cycles	6.50
P3 cycles	6.50
P4 cycles	6.50
P5 cycles	6.50
P6 cycles	11.25
P7 cycles	11.25
P8 cycles	11.25
P9 cycles	11.25
P10 cycles	14.83
P11 cycles	14.50
P12 cycles	14.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	12.26 - 24.72
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	118.00
Nb uops	118.00
Nb loads	NA
Nb stores	1.00
Nb stack references	2.00
FLOP/cycle	1.89 - 1.13
Nb FLOP add-sub	10.00
Nb FLOP mul	9.00
Nb FLOP fma	1.00
Nb FLOP div	6.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	1.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
Stride 0	2.00
Stride 1	0.00
Stride n	0.00
Stride unknown	13.00
Stride indirect	7.00
Vectorization ratio all	0.00
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.00
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	25.00
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	25.00

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:51-75
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:51-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

The related source loop is not unrolled or unrolled with no peel/tail loop.
This loop has 4 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

Vectorization

Your loop is not vectorized. Only 25% of vector register length is used (average across all VPU instructions). By fully vectorizing your loop, you can lower the cost of an iteration from 21.23 to 10.55 cycles (2.01x speedup).

Details

2% of VPU instructions are used in vector version (process two or more data elements in vector registers):

4% of VPU loads are used in vector version.
16% of VPU stores are used in vector version.
0% of VPU addition or subtraction instructions are used in vector version.
0% of VPU multiply instructions are used in vector version.
0% of VPU fused multiply-add instructions are used in vector version.
0% of VPU divide and square root instructions are used in vector version.
0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully vectorized loop can use their full power.

Workaround

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

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 21.23 to 16.42 cycles (1.29x speedup).

FMA

Detected 1 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Try to change order in which elements are evaluated (using parentheses) in arithmetic expressions containing both ADD/SUB and MUL operations to enable your compiler to generate FMA instructions wherever possible. For instance a + b*c is a valid FMA (MUL then ADD). However (a+b)* c cannot be translated into an FMA (ADD then MUL).

CALL instructions

Detected function call instructions.

Details

Calling (and then returning from) a function prevents many compiler optimizations (like vectorization), breaks control flow (which reduces pipeline performance) and executes extra instructions to save/restore the registers used inside it, which is very expensive (dozens of cycles). Consider to inline small functions.

unknown: 0 occurrences

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant unknown stride: 12 occurrence(s)
Irregular (variable stride) or indirect: 7 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

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

The binary loop is composed of 26.5 FP arithmetical operations:

11: addition or subtraction (1 inside FMA instructions)
9.50: multiply (1 inside FMA instructions)
5.50: divide
0.50: square root

The binary loop is loading 1 bytes. The binary loop is storing 1 bytes.

Arithmetic intensity

Arithmetic intensity is 8.83 FP operations per loaded or stored byte.

General properties

nb instructions	122
nb uops	122
loop length	488
used w registers	0.50
used x registers	20
used b registers	0
used h registers	0
used s registers	3
used d registers	19.25
used q registers	0
used v registers	0
used z registers	0
nb stack references	7
ADD-SUB / MUL ratio	1.18

Front-end

MACRO FUSION NOT POSSIBLE

micro-operation queue	15.25 cycles
front end	15.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.50	2.50	6.63	6.63	6.63	6.63	11.13	11.13	11.13	11.13	16.42	16.25	16.33	0.50	0.50
cycles	2.50	2.50	6.63	6.63	6.63	6.63	11.13	11.13	11.13	11.13	16.42	16.25	16.33	0.50	0.50

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	10.51-21.10
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	15.25
Dispatch	16.42
DIV/SQRT	10.51-21.10
Data deps.	0.00
Overall L1	16.42-21.23

Vectorization ratios

INT

all	6%
load	4%
store	16%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

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

INT+FP

all	2%
load	4%
store	16%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	26%
load	25%
store	28%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	25%

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

INT+FP

all	25%
load	25%
store	28%
mul	25%
add-sub	25%
fma	25%
div/sqrt	25%
other	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 21.23 cycles. At this rate:

0% of peak load performance is reached (0.08 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.08 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

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:51-75
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:51-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

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 18.00 to 8.67 cycles (2.08x 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 fully vectorizing your loop, you can lower the cost of an iteration from 18.00 to 8.74 cycles (2.06x speedup).

Details

5% of VPU instructions are used in vector version (process two or more data elements in vector registers):

8% of VPU loads are used in vector version.
33% of VPU stores are used in vector version.
0% of VPU addition or subtraction instructions are used in vector version.
0% of VPU multiply instructions are used in vector version.
0% of VPU fused multiply-add instructions are used in vector version.
0% of VPU divide and square root instructions are used in vector version.
0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully vectorized loop can use their full power.

Workaround

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

FMA

Detected 1 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

CALL instructions

Detected function call instructions.

Details

unknown: 1 occurrences►
- /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp:56

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant unknown stride: 12 occurrence(s)
Irregular (variable stride) or indirect: 8 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

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

The binary loop is composed of 25 FP arithmetical operations:

11: addition or subtraction (1 inside FMA instructions)
9: multiply (1 inside FMA instructions)
5: divide

The binary loop is loading 3 bytes. The binary loop is storing 3 bytes.

Arithmetic intensity

Arithmetic intensity is 4.17 FP operations per loaded or stored byte.

General properties

nb instructions	126
nb uops	126
loop length	504
used w registers	1
used x registers	20
used b registers	0
used h registers	0
used s registers	3
used d registers	20
used q registers	0
used v registers	0
used z registers	0
nb stack references	12
ADD-SUB / MUL ratio	1.25

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	15.75 cycles
front end	15.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	6.75	6.75	6.75	6.75	11.00	11.00	11.00	11.00	18.00	18.00	18.00	1.00	1.00
cycles	3.00	3.00	6.75	6.75	6.75	6.75	11.00	11.00	11.00	11.00	18.00	18.00	18.00	1.00	1.00

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	8.76-17.48
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	15.75
Dispatch	18.00
DIV/SQRT	8.76-17.48
Data deps.	0.00
Overall L1	18.00

Vectorization ratios

INT

all	13%
load	8%
store	33%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

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

INT+FP

all	5%
load	8%
store	33%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	27%
load	26%
store	31%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	25%

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

INT+FP

all	26%
load	26%
store	31%
mul	25%
add-sub	25%
fma	25%
div/sqrt	25%
other	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 18.00 cycles. At this rate:

0% of peak load performance is reached (0.17 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.17 out of 48.00 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: 42e040

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
LDP X3, X1, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X2, [X20, #88]	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 X0, [X1]	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, [X1, #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 X1, [X3]	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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X3, [X3, #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 D31, [X4, X0,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%)
MADD X1, X22, X1, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X2]	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 D30, [X3, X1,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%)
FADD D31, D31, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X3, [X2, #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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDP X1, X2, [X20, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR D0, [X3, X0,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%)
FDIV D31, D31, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X1, [X1, #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
LDR X0, [X2, #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
LDR D24, [X1, X19,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%)
LDR D30, [X0, X6]	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%)
FMADD D0, D0, D0, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	4	0.25	scal (25.0%)
FCMP D0, #0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
B.PL 42e0d0 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x230>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
STP D27, D26, [SP, #168]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STR D25, [SP, #184]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
STR W5, [SP, #196]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STP D24, D30, [SP, #200]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STR X6, [SP, #216]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
BL 4106a0 <@plt_start@+0x680>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D25, [SP, #184]	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%)
LDR X6, [SP, #216]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDP D27, D26, [SP, #168]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
LDP D24, D30, [SP, #200]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
LDR W5, [SP, #196]	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%)
B 42e0d4 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x234>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X0, X11, [X20, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
FMINNM D24, D24, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D24, D12, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FMAXNM D0, D0, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDP X4, X12, [X20, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
FDIV D24, D24, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X2, [X0]	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 X8, [X0, #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 X0, [X4]	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 X1, X2, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X9, [X4, #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
ADD X2, X2, X1	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 X7, X1, X21	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 X3, [X11]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X10, X2, X21	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
MUL X0, X22, X0	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, X2, X19	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 D28, [X8, X7,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%)
ADD X2, X1, X19	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 D30, [X8, X10,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%)
ADD X14, X0, X21	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 X1, X0, X19	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
MUL X7, X3, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR D31, [X8, X4,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%)
LDR D29, [X9, X14,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%)
ADD X0, X3, X7	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 X10, X7, X19	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 X3, X0, X21	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 X13, X0, X19	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
FADD D28, D28, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D30, [X8, X2,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%)
ADD X7, X7, X21	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 D21, [X9, X1,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%)
LDR X0, [X12]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FMUL D28, D28, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D30, D30, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X2, [X11, #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, [X12, #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
MUL X1, X0, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR D22, [X2, X3,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%)
FMUL D30, D30, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D31, D28, D10	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD X0, X0, X1	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 D29, [X2, X13,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%)
ADD X0, X0, X19	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
FABS D23, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD X1, X1, X19	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 X3, [X20, #64]	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 D21, [X4, X0,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%)
FSUB D31, D31, S30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FABS D30, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D28, [X2, X10,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%)
FADD D29, D29, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D23, [X2, X7,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%)
LDR X0, [X3]	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 D22, [X4, X1,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%)
FMUL D29, D29, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X1, [X3, #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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
FADD D31, D31, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FABS D23, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D29, [X1, X0,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%)
FMUL D28, D28, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D20, D29, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D22, D13, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FSUB D31, D31, S28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D21, D14, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FABS D28, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D29, D29, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FMAXNM D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D29, D29, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FDIV D22, D22, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D31, D31, D20	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D21, D21, D29	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FCMPE D31, D11	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
B.MI 42e23c <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x39c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D31, [SP, #224]	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%)
FMINNM D21, D21, D9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D24, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
STR D22, [SP, #224]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
CMP X21, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
B.EQ 42e268 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x3c8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X19, XZR, X21	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 X21, X21, #1	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
B 42e040 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x1a0>	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:51-75
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:51-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

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 20.98 to 8.67 cycles (2.42x speedup).

Workaround

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

Vectorization

Details

5% of VPU instructions are used in vector version (process two or more data elements in vector registers):

8% of VPU loads are used in vector version.
33% of VPU stores are used in vector version.
0% of VPU addition or subtraction instructions are used in vector version.
0% of VPU multiply instructions are used in vector version.
0% of VPU fused multiply-add instructions are used in vector version.
0% of VPU divide and square root instructions are used in vector version.
0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully vectorized loop can use their full power.

Workaround

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

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 20.98 to 18.00 cycles (1.17x speedup).

FMA

Detected 1 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

CALL instructions

Detected function call instructions.

Details

unknown: 1 occurrences►
- /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/calc_dt.cpp:56

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant unknown stride: 12 occurrence(s)
Irregular (variable stride) or indirect: 8 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

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

The binary loop is composed of 27 FP arithmetical operations:

11: addition or subtraction (1 inside FMA instructions)
10: multiply (1 inside FMA instructions)
6: divide

The binary loop is loading 3 bytes. The binary loop is storing 3 bytes.

Arithmetic intensity

Arithmetic intensity is 4.50 FP operations per loaded or stored byte.

General properties

nb instructions	129
nb uops	129
loop length	516
used w registers	1
used x registers	20
used b registers	0
used h registers	0
used s registers	3
used d registers	21
used q registers	0
used v registers	0
used z registers	0
nb stack references	12
ADD-SUB / MUL ratio	1.11

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	16.13 cycles
front end	16.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	6.75	6.75	6.75	6.75	11.75	11.75	11.75	11.75	18.00	18.00	18.00	1.00	1.00
cycles	3.00	3.00	6.75	6.75	6.75	6.75	11.75	11.75	11.75	11.75	18.00	18.00	18.00	1.00	1.00

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	10.51-20.98
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	16.13
Dispatch	18.00
DIV/SQRT	10.51-20.98
Data deps.	0.00
Overall L1	18.00-20.98

Vectorization ratios

INT

all	13%
load	8%
store	33%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

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

INT+FP

all	5%
load	8%
store	33%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	27%
load	26%
store	31%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

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

INT+FP

all	26%
load	26%
store	31%
mul	25%
add-sub	25%
fma	25%
div/sqrt	25%
other	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 20.98 cycles. At this rate:

0% of peak load performance is reached (0.14 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.14 out of 48.00 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: 42e040

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
LDP X3, X1, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X2, [X20, #88]	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 X0, [X1]	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, [X1, #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 X1, [X3]	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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X3, [X3, #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 D31, [X4, X0,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%)
MADD X1, X22, X1, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X2]	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 D30, [X3, X1,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%)
FADD D31, D31, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X3, [X2, #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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDP X1, X2, [X20, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR D0, [X3, X0,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%)
FDIV D31, D31, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X1, [X1, #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
LDR X0, [X2, #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
LDR D24, [X1, X19,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%)
LDR D30, [X0, X6]	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%)
FMADD D0, D0, D0, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	4	0.25	scal (25.0%)
FCMP D0, #0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
B.PL 42e0d0 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x230>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
STP D27, D26, [SP, #168]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STR D25, [SP, #184]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
STR W5, [SP, #196]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STP D24, D30, [SP, #200]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STR X6, [SP, #216]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
BL 4106a0 <@plt_start@+0x680>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D25, [SP, #184]	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%)
LDR X6, [SP, #216]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDP D27, D26, [SP, #168]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
LDP D24, D30, [SP, #200]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
LDR W5, [SP, #196]	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%)
B 42e0d4 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x234>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X0, X11, [X20, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
FMINNM D24, D24, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D24, D12, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FMAXNM D0, D0, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDP X4, X12, [X20, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
FDIV D24, D24, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X2, [X0]	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 X8, [X0, #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 X0, [X4]	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 X1, X2, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X9, [X4, #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
ADD X2, X2, X1	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 X7, X1, X21	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 X3, [X11]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X10, X2, X21	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
MUL X0, X22, X0	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, X2, X19	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 D28, [X8, X7,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%)
ADD X2, X1, X19	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 D30, [X8, X10,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%)
ADD X14, X0, X21	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 X1, X0, X19	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
MUL X7, X3, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR D31, [X8, X4,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%)
LDR D29, [X9, X14,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%)
ADD X0, X3, X7	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 X10, X7, X19	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 X3, X0, X21	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 X13, X0, X19	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
FADD D28, D28, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D30, [X8, X2,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%)
ADD X7, X7, X21	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 D21, [X9, X1,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%)
LDR X0, [X12]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FMUL D28, D28, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D30, D30, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X2, [X11, #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, [X12, #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
MUL X1, X0, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR D22, [X2, X3,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%)
FMUL D30, D30, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D31, D28, D10	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD X0, X0, X1	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 D29, [X2, X13,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%)
ADD X0, X0, X19	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
FABS D23, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD X1, X1, X19	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 X3, [X20, #64]	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 D21, [X4, X0,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%)
FSUB D31, D31, S30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FABS D30, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D28, [X2, X10,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%)
FADD D29, D29, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D23, [X2, X7,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%)
LDR X0, [X3]	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 D22, [X4, X1,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%)
FMUL D29, D29, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR X1, [X3, #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 X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
FADD D31, D31, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FABS D23, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D29, [X1, X0,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%)
FMUL D28, D28, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FADD D20, D29, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D22, D13, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FSUB D31, D31, S28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D21, D14, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FABS D28, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMUL D29, D29, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FMAXNM D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMAXNM D29, D29, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FDIV D22, D22, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D31, D31, D20	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D21, D21, D29	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FCMPE D31, D11	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
B.MI 42e23c <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x39c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X19, XZR, X21	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 X21, X21, #1	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
B 42e040 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x1a0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
FDIV D31, D8, D31	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR D30, [SP, #224]	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%)
FMUL D31, D31, D27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FMINNM D31, D31, D9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D21, D21, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D24, D24, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
FMINNM D31, D30, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
STR D31, [SP, #224]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
CMP X21, X23	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.NE 42e230 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x390>	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:51-75
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:51-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

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 21.23 to 6.83 cycles (3.11x 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 21.23 to 10.61 cycles (2.00x speedup).

Details

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

Workaround

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

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 21.23 to 14.83 cycles (1.43x speedup).

FMA

Detected 1 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant unknown stride: 13 occurrence(s)
Irregular (variable stride) or indirect: 7 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

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

The binary loop is composed of 26 FP arithmetical operations:

11: addition or subtraction (1 inside FMA instructions)
9: multiply (1 inside FMA instructions)
5: divide
1: square root

The binary loop does not load or store any data.

General properties

nb instructions	115
nb uops	115
loop length	460
used w registers	0
used x registers	20
used b registers	0
used h registers	0
used s registers	3
used d registers	17
used q registers	0
used v registers	0
used z registers	0
nb stack references	2
ADD-SUB / MUL ratio	1.25

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	14.38 cycles
front end	14.38 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.00	2.00	6.50	6.50	6.50	6.50	10.50	10.50	10.50	10.50	14.83	14.50	14.67	0.00	0.00
cycles	2.00	2.00	6.50	6.50	6.50	6.50	10.50	10.50	10.50	10.50	14.83	14.50	14.67	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	10.51-21.23
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	14.38
Dispatch	14.83
DIV/SQRT	10.51-21.23
Data deps.	0.00
Overall L1	14.83-21.23

Vectorization ratios

INT

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)
other	0%

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

INT+FP

all	0%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	25%
load	25%
store	25%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	25%

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

INT+FP

all	25%
load	25%
store	25%
mul	25%
add-sub	25%
fma	25%
div/sqrt	25%
other	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 21.23 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 42e040

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDP X3, X1, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X2, [X20, #88]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X1]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X4, [X1, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X1, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDR X3, [X3, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D31, [X4, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
MADD X1, X22, X1, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X2]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D30, [X3, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FADD D31, D31, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X3, [X2, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDP X1, X2, [X20, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR D0, [X3, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FDIV D31, D31, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X1, [X1, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X2, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D24, [X1, X19,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR D30, [X0, X6]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMADD D0, D0, D0, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	scal (25.0%)
FCMP D0, #0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
B.PL 42e0d0 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x230>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
FSQRT D0, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-16	1.75-3.75	scal (25.0%)
LDP X0, X11, [X20, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
FMINNM D24, D24, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D24, D12, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FMAXNM D0, D0, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDP X4, X12, [X20, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
FDIV D24, D24, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X2, [X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X8, [X0, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X4]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MUL X1, X2, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR X9, [X4, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X2, X2, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X7, X1, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR X3, [X11]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X10, X2, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
MUL X0, X22, X0	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
ADD X4, X2, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D28, [X8, X7,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X2, X1, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D30, [X8, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X14, X0, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X1, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
MUL X7, X3, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR D31, [X8, X4,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR D29, [X9, X14,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X0, X3, X7	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X10, X7, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X3, X0, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X13, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
FADD D28, D28, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D30, [X8, X2,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X7, X7, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D21, [X9, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR X0, [X12]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
FMUL D28, D28, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D30, D30, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X2, [X11, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X4, [X12, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MUL X1, X0, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR D22, [X2, X3,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D30, D30, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D31, D28, D10	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
ADD X0, X0, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D29, [X2, X13,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X0, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
FABS D23, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
ADD X1, X1, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR X3, [X20, #64]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D21, [X4, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FSUB D31, D31, S30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FABS D30, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D28, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FADD D29, D29, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D23, [X2, X7,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR X0, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D22, [X4, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D29, D29, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X1, [X3, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
FADD D31, D31, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FABS D23, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D29, [X1, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D28, D28, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D20, D29, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D22, D13, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FSUB D31, D31, S28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D21, D14, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FABS D28, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D29, D29, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FMAXNM D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D29, D29, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FDIV D22, D22, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D31, D31, D20	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D21, D21, D29	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FCMPE D31, D11	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
B.MI 42e23c <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x39c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D31, [SP, #224]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMINNM D21, D21, D9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D24, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
STR D22, [SP, #224]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	scal (25.0%)
CMP X21, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
B.EQ 42e268 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x3c8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X19, XZR, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X21, X21, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
B 42e040 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x1a0>	1	0.50	0.50	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:51-75
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:51-75
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

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 24.72 to 6.83 cycles (3.62x 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 24.72 to 12.36 cycles (2.00x speedup).

Details

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

Workaround

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

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 24.72 to 14.83 cycles (1.67x speedup).

FMA

Detected 1 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant unknown stride: 13 occurrence(s)
Irregular (variable stride) or indirect: 7 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

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

The binary loop is composed of 28 FP arithmetical operations:

11: addition or subtraction (1 inside FMA instructions)
10: multiply (1 inside FMA instructions)
6: divide
1: square root

The binary loop does not load or store any data.

General properties

nb instructions	118
nb uops	118
loop length	472
used w registers	0
used x registers	20
used b registers	0
used h registers	0
used s registers	3
used d registers	19
used q registers	0
used v registers	0
used z registers	0
nb stack references	2
ADD-SUB / MUL ratio	1.11

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	14.75 cycles
front end	14.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.00	2.00	6.50	6.50	6.50	6.50	11.25	11.25	11.25	11.25	14.83	14.50	14.67	0.00	0.00
cycles	2.00	2.00	6.50	6.50	6.50	6.50	11.25	11.25	11.25	11.25	14.83	14.50	14.67	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	12.26-24.72
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	14.75
Dispatch	14.83
DIV/SQRT	12.26-24.72
Data deps.	0.00
Overall L1	14.83-24.72

Vectorization ratios

INT

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)
other	NA (no other vectorizable/vectorized instructions)

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

INT+FP

all	0%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	25%
load	25%
store	25%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	NA (no other vectorizable/vectorized instructions)

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

INT+FP

all	25%
load	25%
store	25%
mul	25%
add-sub	25%
fma	25%
div/sqrt	25%
other	25%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 24.72 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 42e040

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDP X3, X1, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR X2, [X20, #88]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X1]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X4, [X1, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X1, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDR X3, [X3, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D31, [X4, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
MADD X1, X22, X1, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X2]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D30, [X3, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FADD D31, D31, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X3, [X2, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
LDP X1, X2, [X20, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
LDR D0, [X3, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FDIV D31, D31, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X1, [X1, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X2, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D24, [X1, X19,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR D30, [X0, X6]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMADD D0, D0, D0, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	scal (25.0%)
FCMP D0, #0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
B.PL 42e0d0 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x230>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
FSQRT D0, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-16	1.75-3.75	scal (25.0%)
LDP X0, X11, [X20, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
FMINNM D24, D24, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D24, D12, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FMAXNM D0, D0, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDP X4, X12, [X20, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	1	N/A
FDIV D24, D24, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR X2, [X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X8, [X0, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X0, [X4]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MUL X1, X2, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR X9, [X4, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X2, X2, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X7, X1, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR X3, [X11]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
ADD X10, X2, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
MUL X0, X22, X0	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
ADD X4, X2, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D28, [X8, X7,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X2, X1, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D30, [X8, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X14, X0, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X1, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
MUL X7, X3, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR D31, [X8, X4,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR D29, [X9, X14,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X0, X3, X7	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X10, X7, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X3, X0, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X13, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
FADD D28, D28, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D30, [X8, X2,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X7, X7, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D21, [X9, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR X0, [X12]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
FMUL D28, D28, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D30, D30, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X2, [X11, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR X4, [X12, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MUL X1, X0, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	2	0.50	N/A
LDR D22, [X2, X3,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D30, D30, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D31, D28, D10	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
ADD X0, X0, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR D29, [X2, X13,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
ADD X0, X0, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
FABS D23, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
ADD X1, X1, X19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
LDR X3, [X20, #64]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D21, [X4, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FSUB D31, D31, S30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FABS D30, D30	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D28, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FADD D29, D29, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D23, [X2, X7,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
LDR X0, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
LDR D22, [X4, X1,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D29, D29, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR X1, [X3, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	N/A
MADD X0, X22, X0, X19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	N/A
FADD D31, D31, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FABS D23, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
LDR D29, [X1, X0,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D28, D28, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FADD D20, D29, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D22, D13, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FSUB D31, D31, S28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D21, D14, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FABS D28, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMUL D29, D29, D15	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FMAXNM D28, D28, D23	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D30, D30, D29	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMAXNM D29, D29, D28	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FDIV D22, D22, D30	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D31, D31, D20	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FDIV D21, D21, D29	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FCMPE D31, D11	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
B.MI 42e23c <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x39c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ORR X19, XZR, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
ADD X21, X21, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
B 42e040 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x1a0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
FDIV D31, D8, D31	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
LDR D30, [SP, #224]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	scal (25.0%)
FMUL D31, D31, D27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	scal (25.0%)
FMINNM D31, D31, D9	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D21, D21, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D22, D22, D21	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D24, D24, D22	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
FMINNM D31, D30, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	scal (25.0%)
STR D31, [SP, #224]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	scal (25.0%)
CMP X21, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.33	N/A
B.NE 42e230 <_Z14calc_dt_kerneliiiidddddRN6clover8Buffer2DIdEES2_RNS_8Buffer1DIdEES5_S5_S5_S2_S2_S2_S2_S2_S2_S2_S2_RdRiS6_S6_S7_S7_S7_._omp_fn.0+0x390>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Report Configuration

Vectorization

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Expensive FP math instructions/calls

FMA

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CALL instructions

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Slow data structures access

Details

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

Arithmetic intensity

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Code clean check

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Vectorization

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Workaround

FMA

Workaround

CALL instructions

Details

Slow data structures access

Details

Workaround

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

Arithmetic intensity

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

Expensive FP math instructions/calls

FMA

Workaround

CALL instructions

Details

Slow data structures access

Details

Workaround

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

Arithmetic intensity

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

Expensive FP math instructions/calls

FMA

Workaround

Slow data structures access

Details

Workaround

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