OV - exec - Loop 156

	Loop Id: 156	Module: exec	Source: accelerate.cpp:42-53 [...]	Coverage: NA%

0x42b6e0 CMP	W7, W17

0x42b6e4 CSEL	W3, W7, W17, #9

0x42b6e8 ADD	W4, W6, W3

0x42b6ec STR	W3, [SP, #176]

0x42b6f0 STR	W4, [SP, #180]

0x42b6f4 CMP	W6, W4

0x42b6f8 B.CS	42bc04

0x42b6fc LDR	X11, [SP, #376]

0x42b700 SUB	W2, W27, #1

0x42b704 LDP	X5, X6, [SP, #304]

0x42b708 SBFM	X19, X2, #0, #31

0x42b70c LDP	X9, X7, [SP, #320]

0x42b710 LDP	X10, X12, [SP, #336]

0x42b714 LDP	X13, X14, [SP, #360]

0x42b718 LDR	X1, [X5]

0x42b71c LDR	X23, [X6]

0x42b720 LDR	X24, [X7]

0x42b724 MUL	X16, X27, X1

0x42b728 LDR	X25, [X10]

0x42b72c MUL	X15, X19, X1

0x42b730 MUL	X17, X19, X23

0x42b734 LDR	X8, [X9]

0x42b738 MUL	X20, X27, X23

0x42b73c MUL	X21, X19, X24

0x42b740 STR	X15, [SP, #280]

0x42b744 LDR	X26, [X11]

0x42b748 MUL	X22, X24, X27

0x42b74c MUL	X23, X19, X25

0x42b750 LDR	X4, [SP, #352]

0x42b754 MUL	X24, X25, X27

0x42b758 MUL	X18, X27, X8

0x42b75c LDR	X28, [X12]

0x42b760 MUL	X25, X19, X26

0x42b764 STR	X23, [SP, #232]

0x42b768 MUL	X8, X26, X27

0x42b76c STR	X18, [SP, #160]

0x42b770 LDR	X0, [X4]

0x42b774 STP	X24, X22, [SP, #216]

0x42b778 MUL	X30, X27, X28

0x42b77c STP	X8, X25, [SP, #184]

0x42b780 MUL	X2, X27, X0

0x42b784 STP	X21, X20, [SP, #248]

0x42b788 STP	X16, X17, [SP, #264]

0x42b78c LDR	X3, [X13]

0x42b790 STR	X2, [SP, #136]

0x42b794 LDR	X19, [X14]

0x42b798 STR	X30, [SP, #144]

0x42b79c LDR	X18, [X5, #16]

0x42b7a0 MUL	X3, X27, X3

0x42b7a4 LDR	X1, [X4, #16]

0x42b7a8 MUL	X5, X27, X19

0x42b7ac STR	X3, [SP, #200]

0x42b7b0 LDR	X30, [X6, #16]

0x42b7b4 STR	X18, [SP, #168]

0x42b7b8 LDR	X6, [X9, #16]

0x42b7bc LDR	X28, [X10, #16]

0x42b7c0 LDR	X9, [X7, #16]

0x42b7c4 STR	X6, [SP, #152]

0x42b7c8 LDR	X12, [X12, #16]

0x42b7cc LDR	X10, [X13, #16]

0x42b7d0 STR	X9, [SP, #240]

0x42b7d4 LDR	X7, [X14, #16]

0x42b7d8 STR	X12, [SP, #208]

0x42b7dc LDR	W13, [SP, #176]

0x42b7e0 LDR	X26, [X11, #16]

0x42b7e4 STP	X7, X5, [SP, #104]

0x42b7e8 STP	X10, X1, [SP, #120]

0x42b7ec CMP	W13, #1

0x42b7f0 B.EQ	42ba38

0x42b7f4 UBFM	W14, W13, #1, #31

0x42b7f8 ORR	X11, XZR, X6

0x42b7fc LDRSW	X1, [SP, #100]

0x42b800 UBFM	X19, X14, #60, #59

0x42b804 MOVZ	X0, #0

0x42b808 ADD	X2, X15, X1

0x42b80c ADD	X15, X20, X1

0x42b810 ADD	X20, X23, X1

0x42b814 ADD	X23, X24, X1

0x42b818 ADD	X24, X3, X1

0x42b81c ADD	X17, X17, X1

0x42b820 UBFM	X5, X24, #61, #60

0x42b824 LDR	X24, [SP, #160]

0x42b828 ADD	X25, X25, X1

0x42b82c UBFM	X18, X2, #61, #60

0x42b830 UBFM	X10, X17, #61, #60

0x42b834 UBFM	X2, X15, #61, #60

0x42b838 ADD	X21, X21, X1

0x42b83c ADD	X13, X22, X1

0x42b840 UBFM	X4, X25, #61, #60

0x42b844 ADD	X14, X9, X21,LSL #3

0x42b848 SUB	X22, X10, #8

0x42b84c ADD	X13, X9, X13,LSL #3

0x42b850 ADD	X17, X30, X10

0x42b854 LDR	X10, [SP, #144]

0x42b858 SUB	X9, X2, #8

0x42b85c ADD	X25, X24, X1

0x42b860 UBFM	X7, X20, #61, #60

0x42b864 ADD	X20, X30, X9

0x42b868 ADD	X25, X11, X25,LSL #3

0x42b86c LDR	X24, [SP, #136]

0x42b870 ADD	X15, X30, X2

0x42b874 ADD	X3, X8, X1

0x42b878 ADD	X16, X16, X1

0x42b87c UBFM	X6, X23, #61, #60

0x42b880 LDR	X9, [SP, #128]

0x42b884 UBFM	X16, X16, #61, #60

0x42b888 SUB	X23, X18, #8

0x42b88c ADD	X2, X10, X1

0x42b890 SUB	X21, X16, #8

0x42b894 LDR	X8, [SP, #104]

0x42b898 UBFM	X3, X3, #61, #60

0x42b89c SUB	X11, X6, #8

0x42b8a0 ADD	X10, X24, X1

0x42b8a4 ADD	X2, X12, X2,LSL #3

0x42b8a8 SUB	X12, X7, #8

0x42b8ac ADD	X22, X30, X22

0x42b8b0 ADD	X11, X28, X11

0x42b8b4 ADD	X24, X9, X10,LSL #3

0x42b8b8 LDR	X10, [SP, #112]

0x42b8bc SUB	X9, X4, #8

0x42b8c0 ADD	X6, X28, X6

0x42b8c4 ADD	X12, X28, X12

0x42b8c8 ADD	X7, X28, X7

0x42b8cc ADD	X9, X26, X9

0x42b8d0 ADD	X4, X26, X4

0x42b8d4 ADD	X1, X10, X1

0x42b8d8 SUB	X10, X5, #8

0x42b8dc ADD	X1, X8, X1,LSL #3

0x42b8e0 LDR	X8, [SP, #168]

0x42b8e4 ADD	X23, X8, X23

0x42b8e8 ADD	X18, X8, X18

0x42b8ec ADD	X21, X8, X21

0x42b8f0 ADD	X16, X8, X16

0x42b8f4 LDR	X8, [SP, #120]

0x42b8f8 ADD	X10, X8, X10

0x42b8fc ADD	X5, X8, X5

0x42b900 SUB	X8, X3, #8

0x42b904 ADD	X3, X26, X3

0x42b908 ADD	X8, X26, X8

  (157) 0x42b90c LDR	Q19, [X20, X0]

  (157) 0x42b910 LDR	Q25, [X21, X0]

  (157) 0x42b914 LDR	Q22, [X17, X0]

  (157) 0x42b918 LDR	Q31, [X18, X0]

  (157) 0x42b91c LDR	Q28, [X22, X0]

  (157) 0x42b920 FMUL	V1.2D, V19.2D, V25.2D

  (157) 0x42b924 LDR	Q2, [X23, X0]

  (157) 0x42b928 LDR	Q0, [X15, X0]

  (157) 0x42b92c FMUL	V4.2D, V22.2D, V31.2D

  (157) 0x42b930 LDR	Q21, [X16, X0]

  (157) 0x42b934 LDR	Q18, [X11, X0]

  (157) 0x42b938 FMLA	V1.2D, V28.2D, V2.2D

  (157) 0x42b93c LDR	Q17, [X6, X0]

  (157) 0x42b940 FMLA	V4.2D, V0.2D, V21.2D

  (157) 0x42b944 LDR	Q27, [X12, X0]

  (157) 0x42b948 LDR	Q20, [X7, X0]

  (157) 0x42b94c LDR	Q16, [X13, X0]

  (157) 0x42b950 FSUB	V5.2D, V18.2D, V17.2D

  (157) 0x42b954 LDR	Q6, [X14, X0]

  (157) 0x42b958 FSUB	V23.2D, V27.2D, V20.2D

  (157) 0x42b95c LDR	Q7, [X25, X0]

  (157) 0x42b960 FADD	V24.2D, V4.2D, V1.2D

  (157) 0x42b964 FMUL	V26.2D, V5.2D, V16.2D

  (157) 0x42b968 FMLA	V26.2D, V23.2D, V6.2D

  (157) 0x42b96c FDIV	V31.2D, V29.2D, V24.2D

  (157) 0x42b970 FMLA	V7.2D, V26.2D, V31.2D

  (157) 0x42b974 STR	Q7, [X2, X0]

  (157) 0x42b978 LDR	Q3, [X7, X0]

  (157) 0x42b97c LDR	Q19, [X6, X0]

  (157) 0x42b980 LDR	Q25, [X12, X0]

  (157) 0x42b984 LDR	Q22, [X11, X0]

  (157) 0x42b988 LDR	Q28, [X5, X0]

  (157) 0x42b98c FSUB	V2.2D, V3.2D, V19.2D

  (157) 0x42b990 LDR	Q0, [X10, X0]

  (157) 0x42b994 FSUB	V4.2D, V25.2D, V22.2D

  (157) 0x42b998 LDR	Q1, [X24, X0]

  (157) 0x42b99c FMUL	V21.2D, V2.2D, V28.2D

  (157) 0x42b9a0 FMLA	V21.2D, V0.2D, V4.2D

  (157) 0x42b9a4 FMLA	V1.2D, V31.2D, V21.2D

  (157) 0x42b9a8 STR	Q1, [X1, X0]

  (157) 0x42b9ac LDR	Q18, [X8, X0]

  (157) 0x42b9b0 LDR	Q17, [X3, X0]

  (157) 0x42b9b4 LDR	Q27, [X9, X0]

  (157) 0x42b9b8 LDR	Q16, [X4, X0]

  (157) 0x42b9bc LDR	Q20, [X13, X0]

  (157) 0x42b9c0 FSUB	V5.2D, V18.2D, V17.2D

  (157) 0x42b9c4 LDR	Q6, [X14, X0]

  (157) 0x42b9c8 FSUB	V23.2D, V27.2D, V16.2D

  (157) 0x42b9cc LDR	Q7, [X2, X0]

  (157) 0x42b9d0 FMUL	V24.2D, V5.2D, V20.2D

  (157) 0x42b9d4 FMLA	V24.2D, V6.2D, V23.2D

  (157) 0x42b9d8 FMLA	V7.2D, V31.2D, V24.2D

  (157) 0x42b9dc STR	Q7, [X2, X0]

  (157) 0x42b9e0 LDR	Q26, [X1, X0]

  (157) 0x42b9e4 LDR	Q3, [X4, X0]

  (157) 0x42b9e8 LDR	Q19, [X3, X0]

  (157) 0x42b9ec LDR	Q25, [X9, X0]

  (157) 0x42b9f0 LDR	Q22, [X8, X0]

  (157) 0x42b9f4 LDR	Q28, [X5, X0]

  (157) 0x42b9f8 FSUB	V2.2D, V3.2D, V19.2D

  (157) 0x42b9fc LDR	Q0, [X10, X0]

  (157) 0x42ba00 FSUB	V4.2D, V25.2D, V22.2D

  (157) 0x42ba04 FMUL	V1.2D, V2.2D, V28.2D

  (157) 0x42ba08 FMLA	V1.2D, V0.2D, V4.2D

  (157) 0x42ba0c FMLA	V26.2D, V31.2D, V1.2D

  (157) 0x42ba10 STR	Q26, [X1, X0]

  (157) 0x42ba14 ADD	X0, X0, #16

  (157) 0x42ba18 CMP	X19, X0

  (157) 0x42ba1c B.NE	42b90c

0x42ba20 LDR	W19, [SP, #176]

0x42ba24 TBZ	W19, #0, 42bc00

0x42ba28 LDR	W22, [SP, #100]

0x42ba2c AND	W13, W19, #0xfffffffe

0x42ba30 ADD	W17, W22, W13

0x42ba34 STR	W17, [SP, #100]

0x42ba38 LDR	W20, [SP, #100]

0x42ba3c LDP	X6, X12, [SP, #256]

0x42ba40 LDP	X5, X3, [SP, #224]

0x42ba44 SUB	W15, W20, #1

0x42ba48 SBFM	X25, X20, #0, #31

0x42ba4c SBFM	X24, X15, #0, #31

0x42ba50 ADD	X18, X6, X25

0x42ba54 ADD	X4, X6, X24

0x42ba58 ADD	X2, X12, X24

0x42ba5c LDR	X7, [SP, #272]

0x42ba60 ADD	X21, X12, X25

0x42ba64 ADD	X14, X5, X25

0x42ba68 ADD	X6, X3, X25

0x42ba6c LDR	X0, [SP, #280]

0x42ba70 UBFM	X17, X14, #61, #60

0x42ba74 LDR	X1, [SP, #168]

0x42ba78 ADD	X9, X7, X25

0x42ba7c ADD	X16, X7, X24

0x42ba80 LDR	D21, [X30, X4,LSL #3]

0x42ba84 ADD	X19, X0, X25

0x42ba88 ADD	X22, X0, X24

0x42ba8c LDR	D31, [X30, X9,LSL #3]

0x42ba90 LDR	D18, [X1, X2,LSL #3]

0x42ba94 LDR	D20, [X1, X19,LSL #3]

0x42ba98 LDR	D17, [X30, X16,LSL #3]

0x42ba9c LDR	D16, [X30, X18,LSL #3]

0x42baa0 FMUL	D27, D21, D18

0x42baa4 LDR	D5, [X1, X21,LSL #3]

0x42baa8 FMUL	D23, D31, D20

0x42baac LDR	D6, [X1, X22,LSL #3]

0x42bab0 LDR	X8, [SP, #160]

0x42bab4 FMADD	D24, D16, D5, D23

0x42bab8 LDR	X11, [SP, #216]

0x42babc FMADD	D7, D17, D6, D27

0x42bac0 LDR	X14, [SP, #112]

0x42bac4 ADD	X20, X8, X25

0x42bac8 LDR	X19, [SP, #136]

0x42bacc ADD	X13, X11, X24

0x42bad0 ADD	X15, X11, X25

0x42bad4 LDR	X12, [SP, #144]

0x42bad8 UBFM	X7, X13, #61, #60

0x42badc ADD	X11, X3, X24

0x42bae0 ADD	X13, X14, X25

0x42bae4 UBFM	X9, X11, #61, #60

0x42bae8 LDR	X23, [SP, #184]

0x42baec ADD	X22, X19, X25

0x42baf0 LDR	X10, [SP, #192]

0x42baf4 ADD	X21, X12, X25

0x42baf8 LDR	X8, [SP, #200]

0x42bafc FADD	D2, D24, D7

0x42bb00 UBFM	X16, X21, #61, #60

0x42bb04 ADD	X30, X23, X25

0x42bb08 ADD	X1, X23, X24

0x42bb0c LDR	X4, [SP, #248]

0x42bb10 UBFM	X23, X1, #61, #60

0x42bb14 LDR	D26, [X28, X7]

0x42bb18 ADD	X5, X8, X24

0x42bb1c ADD	X24, X10, X24

0x42bb20 LDR	D3, [X28, X15,LSL #3]

0x42bb24 FDIV	D31, D30, D2

0x42bb28 UBFM	X3, X5, #61, #60

0x42bb2c ADD	X2, X4, X25

0x42bb30 ADD	X25, X10, X25

0x42bb34 LDR	X10, [SP, #240]

0x42bb38 UBFM	X18, X2, #61, #60

0x42bb3c UBFM	X15, X13, #61, #60

0x42bb40 UBFM	X0, X24, #61, #60

0x42bb44 LDR	D19, [X28, X9]

0x42bb48 LDR	D25, [X28, X6,LSL #3]

0x42bb4c FSUB	D22, D26, S3

0x42bb50 LDR	D0, [X10, X17]

0x42bb54 LDR	D4, [X10, X18]

0x42bb58 LDR	X11, [SP, #152]

0x42bb5c FSUB	D28, D19, S25

0x42bb60 FMUL	D1, D22, D0

0x42bb64 LDR	X1, [SP, #208]

0x42bb68 LDR	D18, [X11, X20,LSL #3]

0x42bb6c FMADD	D21, D28, D4, D1

0x42bb70 LDR	X20, [SP, #128]

0x42bb74 FMADD	D17, D21, D31, D18

0x42bb78 STR	D17, [X1, X16]

0x42bb7c LDR	Q16, [X28, X7]

0x42bb80 LDR	Q27, [X28, X9]

0x42bb84 LDR	X7, [SP, #120]

0x42bb88 LDR	D5, [X20, X22,LSL #3]

0x42bb8c FSUB	V20.2D, V27.2D, V16.2D

0x42bb90 LDR	X28, [SP, #104]

0x42bb94 LDR	Q6, [X7, X3]

0x42bb98 FMUL	V23.2D, V20.2D, V6.2D

0x42bb9c FADDP	D7, V23.2D

0x42bba0 FMADD	D26, D7, D31, D5

0x42bba4 STR	D26, [X28, X15]

0x42bba8 LDR	D24, [X26, X23]

0x42bbac LDR	D3, [X26, X30,LSL #3]

0x42bbb0 LDR	D19, [X26, X0]

0x42bbb4 LDR	D25, [X26, X25,LSL #3]

0x42bbb8 LDR	D28, [X10, X17]

0x42bbbc FSUB	D2, D24, S3

0x42bbc0 LDR	D0, [X10, X18]

0x42bbc4 FSUB	D4, D19, S25

0x42bbc8 LDR	D22, [X1, X16]

0x42bbcc FMUL	D1, D2, D28

0x42bbd0 FMADD	D21, D4, D0, D1

0x42bbd4 FMADD	D18, D21, D31, D22

0x42bbd8 STR	D18, [X1, X16]

0x42bbdc LDR	Q17, [X26, X0]

0x42bbe0 LDR	Q27, [X26, X23]

0x42bbe4 LDR	Q5, [X7, X3]

0x42bbe8 LDR	D16, [X28, X15]

0x42bbec FSUB	V20.2D, V17.2D, V27.2D

0x42bbf0 FMUL	V6.2D, V20.2D, V5.2D

0x42bbf4 FADDP	D23, V6.2D

0x42bbf8 FMADD	D31, D23, D31, D16

0x42bbfc STR	D31, [X28, X15]

0x42bc00 LDR	W6, [SP, #180]

0x42bc04 ADD	X27, X27, #1

0x42bc08 LDR	W26, [SP, #288]

0x42bc0c CMP	W26, W27

0x42bc10 B.LE	42bc40

0x42bc14 LDR	W30, [SP, #300]

0x42bc18 LDR	W9, [SP, #292]

0x42bc1c LDR	W17, [SP, #296]

0x42bc20 SUB	W7, W30, W6

0x42bc24 STR	W9, [SP, #100]

0x42bc28 B	42b6e0

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

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

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

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp: 42 - 53

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

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

43:       double stepbymass_s = halfdt / ((density0(i - 1, j - 1) * volume(i - 1, j - 1) + density0(i - 1, j + 0) * volume(i - 1, j + 0) +

44:                                        density0(i, j) * volume(i, j) + density0(i + 0, j - 1) * volume(i + 0, j - 1)) *

45:                                       0.25);

46:       xvel1(i, j) = xvel0(i, j) - stepbymass_s * (xarea(i, j) * (pressure(i, j) - pressure(i - 1, j + 0)) +

47:                                                   xarea(i + 0, j - 1) * (pressure(i + 0, j - 1) - pressure(i - 1, j - 1)));

48:       yvel1(i, j) = yvel0(i, j) - stepbymass_s * (yarea(i, j) * (pressure(i, j) - pressure(i + 0, j - 1)) +

49:                                                   yarea(i - 1, j + 0) * (pressure(i - 1, j + 0) - pressure(i - 1, j - 1)));

50:       xvel1(i, j) = xvel1(i, j) - stepbymass_s * (xarea(i, j) * (viscosity(i, j) - viscosity(i - 1, j + 0)) +

51:                                                   xarea(i + 0, j - 1) * (viscosity(i + 0, j - 1) - viscosity(i - 1, j - 1)));

52:       yvel1(i, j) = yvel1(i, j) - stepbymass_s * (yarea(i, j) * (viscosity(i, j) - viscosity(i + 0, j - 1)) +

53:                                                   yarea(i - 1, j + 0) * (viscosity(i - 1, j + 0) - viscosity(i - 1, j - 1)));

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	2.06
CQA speedup if FP arith vectorized	1.36
CQA speedup if fully vectorized	1.61
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.08
Bottlenecks
Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source	context.h:69-69,accelerate.cpp:42-53
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	24.71
CQA cycles if no scalar integer	12.00
CQA cycles if FP arith vectorized	18.17
CQA cycles if fully vectorized	15.38
Front-end cycles	19.78
P0 cycles	2.13
P1 cycles	2.13
P2 cycles	17.25
P3 cycles	17.25
P4 cycles	17.25
P5 cycles	17.25
P6 cycles	3.50
P7 cycles	3.50
P8 cycles	3.50
P9 cycles	3.50
P10 cycles	24.46
P11 cycles	24.21
P12 cycles	24.33
P13 cycles	7.63
P14 cycles	7.63
DIV/SQRT cycles	0.88 - 1.75
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	158.25
Nb uops	158.25
Nb loads	NA
Nb stores	17.25
Nb stack references	41.00
FLOP/cycle	0.73
Nb FLOP add-sub	5.50
Nb FLOP mul	4.00
Nb FLOP fma	4.00
Nb FLOP div	0.50
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	2.96
Bytes prefetched	0.00
Bytes loaded	21.75
Bytes stored	9.75
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	5.28
Vectorization ratio load	8.26
Vectorization ratio store	0.00
Vectorization ratio mul	16.67
Vectorization ratio add_sub	7.88
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	24.57
Vector-efficiency ratio load	23.40
Vector-efficiency ratio store	25.62
Vector-efficiency ratio mul	29.17
Vector-efficiency ratio add_sub	27.28
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	24.64

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	8.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.07
Bottlenecks	P10,
Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source	context.h:69-69,accelerate.cpp:42-53
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	2.50
CQA cycles if no scalar integer	2.50
CQA cycles if FP arith vectorized	2.50
CQA cycles if fully vectorized	0.31
Front-end cycles	2.13
P0 cycles	1.50
P1 cycles	1.50
P2 cycles	1.75
P3 cycles	1.75
P4 cycles	1.75
P5 cycles	1.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	2.50
P11 cycles	2.17
P12 cycles	2.33
P13 cycles	1.50
P14 cycles	1.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	17.00
Nb uops	17.00
Nb loads	NA
Nb stores	3.00
Nb stack references	7.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	8.40
Bytes prefetched	0.00
Bytes loaded	12.00
Bytes stored	9.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	0.00
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	13.54
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	12.50
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	18.75
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	12.50

Metric	Value
CQA speedup if no scalar integer	2.96
CQA speedup if FP arith vectorized	1.54
CQA speedup if fully vectorized	1.61
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.00
Bottlenecks	P10,
Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source	context.h:69-69,accelerate.cpp:42-53
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	35.50
CQA cycles if no scalar integer	12.00
CQA cycles if FP arith vectorized	23.08
CQA cycles if fully vectorized	22.00
Front-end cycles	24.25
P0 cycles	2.00
P1 cycles	2.00
P2 cycles	15.00
P3 cycles	15.00
P4 cycles	15.00
P5 cycles	15.00
P6 cycles	7.00
P7 cycles	7.00
P8 cycles	7.00
P9 cycles	7.00
P10 cycles	35.50
P11 cycles	35.17
P12 cycles	35.33
P13 cycles	9.50
P14 cycles	9.50
DIV/SQRT cycles	1.75 - 3.50
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	194.00
Nb uops	194.00
Nb loads	NA
Nb stores	23.00
Nb stack references	52.00
FLOP/cycle	1.01
Nb FLOP add-sub	11.00
Nb FLOP mul	8.00
Nb FLOP fma	8.00
Nb FLOP div	1.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.85
Bytes prefetched	0.00
Bytes loaded	21.00
Bytes stored	9.00
Stride 0	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	11.11
Vectorization ratio load	17.65
Vectorization ratio store	0.00
Vectorization ratio mul	25.00
Vectorization ratio add_sub	18.18
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	29.86
Vector-efficiency ratio load	29.41
Vector-efficiency ratio store	29.89
Vector-efficiency ratio mul	31.25
Vector-efficiency ratio add_sub	34.09
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	30.00

Metric	Value
CQA speedup if no scalar integer	3.28
CQA speedup if FP arith vectorized	1.54
CQA speedup if fully vectorized	1.39
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.17
Bottlenecks	P10, P11, P12,
Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source	context.h:69-69,accelerate.cpp:42-53
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	39.33
CQA cycles if no scalar integer	12.00
CQA cycles if FP arith vectorized	25.58
CQA cycles if fully vectorized	28.38
Front-end cycles	33.75
P0 cycles	2.50
P1 cycles	2.50
P2 cycles	30.75
P3 cycles	30.75
P4 cycles	30.75
P5 cycles	30.75
P6 cycles	7.00
P7 cycles	7.00
P8 cycles	7.00
P9 cycles	7.00
P10 cycles	39.33
P11 cycles	39.33
P12 cycles	39.33
P13 cycles	10.00
P14 cycles	10.00
DIV/SQRT cycles	1.75 - 3.50
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	270.00
Nb uops	270.00
Nb loads	NA
Nb stores	24.00
Nb stack references	64.00
FLOP/cycle	0.92
Nb FLOP add-sub	11.00
Nb FLOP mul	8.00
Nb FLOP fma	8.00
Nb FLOP div	1.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	1.07
Bytes prefetched	0.00
Bytes loaded	30.00
Bytes stored	12.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	24.00
Stride indirect	0.00
Vectorization ratio all	10.00
Vectorization ratio load	15.38
Vectorization ratio store	0.00
Vectorization ratio mul	25.00
Vectorization ratio add_sub	13.33
Vectorization ratio fma	0.00
Vectorization ratio div_sqrt	0.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	29.25
Vector-efficiency ratio load	28.85
Vector-efficiency ratio store	29.17
Vector-efficiency ratio mul	31.25
Vector-efficiency ratio add_sub	31.67
Vector-efficiency ratio fma	25.00
Vector-efficiency ratio div_sqrt	25.00
Vector-efficiency ratio other	30.00

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.99
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.05
Bottlenecks	P2, P3, P4, P5,
Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source	context.h:69-69,accelerate.cpp:42-53
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	21.50
CQA cycles if no scalar integer	21.50
CQA cycles if FP arith vectorized	21.50
CQA cycles if fully vectorized	10.81
Front-end cycles	19.00
P0 cycles	2.50
P1 cycles	2.50
P2 cycles	21.50
P3 cycles	21.50
P4 cycles	21.50
P5 cycles	21.50
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	20.50
P11 cycles	20.17
P12 cycles	20.33
P13 cycles	9.50
P14 cycles	9.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	0
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	152.00
Nb uops	152.00
Nb loads	NA
Nb stores	19.00
Nb stack references	41.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	1.53
Bytes prefetched	0.00
Bytes loaded	24.00
Bytes stored	9.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	24.00
Stride indirect	0.00
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	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.63
Vector-efficiency ratio load	22.83
Vector-efficiency ratio store	30.92
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	24.62
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	26.04

Path /

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

Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source file and lines	accelerate.cpp:42-53
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/context.h:69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp:42-53

Warnings:
Non-innermost loop: analyzing only self part (ignoring child loops).
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 24% 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 24.71 to 15.37 cycles (1.61x 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.
0% of VPU stores are used in vector version.
7% of VPU addition or subtraction instructions are used in vector version.
16% 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
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 4 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).

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

The binary loop is composed of 18 FP arithmetical operations:

9.50: addition or subtraction (4 inside FMA instructions)
8: multiply (4 inside FMA instructions)
0.50: divide

The binary loop is loading 21 bytes. The binary loop is storing 9 bytes.

Arithmetic intensity

Arithmetic intensity is 0.57 FP operations per loaded or stored byte.

General properties

nb instructions	158.25
nb uops	158.25
loop length	633
used w registers	12.75
used x registers	23.25
used b registers	0
used h registers	0
used s registers	2
used d registers	11.50
used q registers	2.50
used v registers	3.50
used z registers	0
nb stack references	41

Front-end

MACRO FUSION NOT POSSIBLE

micro-operation queue	19.78 cycles
front end	19.78 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.13	2.13	17.25	17.25	17.25	17.25	3.50	3.50	3.50	3.50	24.46	24.21	24.33	7.63	7.63
cycles	2.13	2.13	17.25	17.25	17.25	17.25	3.50	3.50	3.50	3.50	24.46	24.21	24.33	7.63	7.63

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	0.88-1.75
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	19.78
Dispatch	24.71
DIV/SQRT	0.88-1.75
Data deps.	0.00
Overall L1	24.71

Vectorization ratios

INT

all	4%
load	8%
store	0%
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	16%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	22%
fma	0%
div/sqrt	0%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	5%
load	8%
store	0%
mul	16%
add-sub	7%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	24%
load	23%
store	25%
mul	25%
add-sub	23%
fma	NA (no fma vectorizable/vectorized instructions)
other	24%

all	31%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	36%
fma	25%
div/sqrt	25%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	24%
load	23%
store	25%
mul	29%
add-sub	27%
fma	25%
div/sqrt	25%
other	24%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 24.71 cycles. At this rate:

1% of peak load performance is reached (1.82 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
2% of peak store performance is reached (1.14 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source file and lines	accelerate.cpp:42-53
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/context.h:69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp:42-53

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 13% of vector register length is used (average across all VPU instructions). By vectorizing your loop, you can lower the cost of an iteration from 2.50 to 0.31 cycles (8.00x speedup).

Details

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

Workaround

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

No data for this section

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 12 bytes. The binary loop is storing 9 bytes.

General properties

nb instructions	17
nb uops	17
loop length	68
used w registers	9
used x registers	1
used b registers	0
used h registers	0
used s registers	1
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	7

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	2.13 cycles
front end	2.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.50	1.50	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	2.50	2.17	2.33	1.50	1.50
cycles	1.50	1.50	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	2.50	2.17	2.33	1.50	1.50

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	NA
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	2.13
Dispatch	2.50
Data deps.	0.00
Overall L1	2.50

Vectorization ratios

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

Vector efficiency ratios

all	13%
load	12%
store	12%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	18%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	12%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 2.50 cycles. At this rate:

5% of peak load performance is reached (4.80 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
7% of peak store performance is reached (3.60 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: 42b6e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W3, W7, W17, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W4, W6, W3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
STR W3, [SP, #176]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STR W4, [SP, #180]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
CMP W6, W4	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42bc04 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x644>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADD X27, X27, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W26, [SP, #288]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
CMP W26, W27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42bc40 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x680>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W30, [SP, #300]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR W9, [SP, #292]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
LDR W17, [SP, #296]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W7, W30, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
STR W9, [SP, #100]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
B 42b6e0 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x120>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source file and lines	accelerate.cpp:42-53
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/context.h:69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp:42-53

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 35.50 to 12.00 cycles (2.96x 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 29% 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 35.50 to 22.00 cycles (1.61x speedup).

Details

11% of VPU instructions are used in vector version (process two or more data elements in vector registers):

17% of VPU loads are used in vector version.
0% of VPU stores are used in vector version.
18% of VPU addition or subtraction instructions are used in vector version.
25% 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
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 8 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

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

The binary loop is composed of 36 FP arithmetical operations:

19: addition or subtraction (8 inside FMA instructions)
16: multiply (8 inside FMA instructions)
1: divide

The binary loop is loading 21 bytes. The binary loop is storing 9 bytes.

Arithmetic intensity

Arithmetic intensity is 1.20 FP operations per loaded or stored byte.

General properties

nb instructions	194
nb uops	194
loop length	776
used w registers	13
used x registers	30
used b registers	0
used h registers	0
used s registers	3
used d registers	23
used q registers	5
used v registers	7
used z registers	0
nb stack references	52
ADD-SUB / MUL ratio	1.50

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	24.25 cycles
front end	24.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.00	2.00	15.00	15.00	15.00	15.00	7.00	7.00	7.00	7.00	35.50	35.17	35.33	9.50	9.50
cycles	2.00	2.00	15.00	15.00	15.00	15.00	7.00	7.00	7.00	7.00	35.50	35.17	35.33	9.50	9.50

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	1.75-3.50
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	24.25
Dispatch	35.50
DIV/SQRT	1.75-3.50
Data deps.	0.00
Overall L1	35.50

Vectorization ratios

INT

all	9%
load	17%
store	0%
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	16%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	22%
fma	0%
div/sqrt	0%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	11%
load	17%
store	0%
mul	25%
add-sub	18%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	29%
load	29%
store	29%
mul	25%
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
other	30%

all	31%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	36%
fma	25%
div/sqrt	25%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	29%
load	29%
store	29%
mul	31%
add-sub	34%
fma	25%
div/sqrt	25%
other	30%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 35.50 cycles. At this rate:

0% of peak load performance is reached (0.59 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.25 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: 42b6e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W3, W7, W17, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD W4, W6, W3	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
STR W3, [SP, #176]	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%)
STR W4, [SP, #180]	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%)
CMP W6, W4	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42bc04 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x644>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X11, [SP, #376]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB W2, W27, #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
LDP X5, X6, [SP, #304]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
SBFM X19, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDP X9, X7, [SP, #320]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X10, X12, [SP, #336]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X13, X14, [SP, #360]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X1, [X5]	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 X23, [X6]	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 X24, [X7]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X16, X27, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X25, [X10]	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 X15, X19, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X17, X19, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X8, [X9]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X20, X27, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X21, X19, X24	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X15, [SP, #280]	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%)
LDR X26, [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
MUL X22, X24, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X23, X19, X25	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X4, [SP, #352]	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 X24, X25, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X18, X27, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X28, [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
MUL X25, X19, X26	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X23, [SP, #232]	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%)
MUL X8, X26, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
STR X18, [SP, #160]	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%)
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
STP X24, X22, [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 (50.0%)
MUL X30, X27, X28	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STP X8, X25, [SP, #184]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
MUL X2, X27, X0	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STP X21, X20, [SP, #248]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X16, X17, [SP, #264]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR X3, [X13]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X2, [SP, #136]	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%)
LDR X19, [X14]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X30, [SP, #144]	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%)
LDR X18, [X5, #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 X3, X27, X3	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X1, [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
MUL X5, X27, X19	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X3, [SP, #200]	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%)
LDR X30, [X6, #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
STR X18, [SP, #168]	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%)
LDR X6, [X9, #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 X28, [X10, #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 X9, [X7, #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
STR X6, [SP, #152]	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%)
LDR X12, [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
LDR X10, [X13, #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
STR X9, [SP, #240]	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%)
LDR X7, [X14, #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
STR X12, [SP, #208]	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%)
LDR W13, [SP, #176]	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 X26, [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
STP X7, X5, [SP, #104]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X10, X1, [SP, #120]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
CMP W13, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.EQ 42ba38 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x478>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W20, [SP, #100]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDP X6, X12, [SP, #256]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X5, X3, [SP, #224]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
SUB W15, W20, #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
SBFM X25, X20, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SBFM X24, X15, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
ADD X18, X6, X25	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 X4, X6, X24	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 X2, X12, X24	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 X7, [SP, #272]	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 X21, X12, X25	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 X14, X5, X25	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 X6, X3, X25	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 X0, [SP, #280]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X17, X14, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X1, [SP, #168]	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 X9, X7, X25	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 X16, X7, X24	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, [X30, 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%)
ADD X19, X0, X25	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 X22, X0, X24	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 D31, [X30, X9,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 D18, [X1, 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%)
LDR D20, [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 D17, [X30, X16,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 D16, [X30, X18,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 D27, D21, D18	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%)
LDR D5, [X1, X21,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 D23, D31, D20	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%)
LDR D6, [X1, X22,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 X8, [SP, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
FMADD D24, D16, D5, D23	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%)
LDR X11, [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
FMADD D7, D17, D6, D27	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%)
LDR X14, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X20, X8, X25	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 X19, [SP, #136]	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 X13, X11, X24	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 X15, X11, X25	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 X12, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X7, X13, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X11, X3, X24	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, X14, X25	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
UBFM X9, X11, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X23, [SP, #184]	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 X22, X19, X25	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 X10, [SP, #192]	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 X21, X12, X25	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 X8, [SP, #200]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
FADD D2, D24, D7	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%)
UBFM X16, X21, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X30, X23, X25	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, X23, X24	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 X4, [SP, #248]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X23, X1, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR D26, [X28, X7]	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 X5, X8, X24	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 X24, X10, X24	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR D3, [X28, X15,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, D30, D2	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%)
UBFM X3, X5, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X2, X4, X25	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 X25, X10, X25	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 X10, [SP, #240]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X18, X2, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X15, X13, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X0, X24, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR D19, [X28, X9]	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 D25, [X28, X6,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FSUB D22, D26, S3	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 D0, [X10, X17]	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 D4, [X10, X18]	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 X11, [SP, #152]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FSUB D28, D19, S25	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 D1, D22, D0	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%)
LDR X1, [SP, #208]	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 D18, [X11, X20,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%)
FMADD D21, D28, D4, D1	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%)
LDR X20, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FMADD D17, D21, D31, D18	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%)
STR D17, [X1, X16]	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%)
LDR Q16, [X28, X7]	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 Q27, [X28, X9]	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 X7, [SP, #120]	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 D5, [X20, X22,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 V20.2D, V27.2D, V16.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	vect (50.0%)
LDR X28, [SP, #104]	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 Q6, [X7, X3]	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%)
FMUL V23.2D, V20.2D, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	vect (50.0%)
FADDP D7, V23.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (50.0%)
FMADD D26, D7, D31, D5	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%)
STR D26, [X28, X15]	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%)
LDR D24, [X26, X23]	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 D3, [X26, X30,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 D19, [X26, X0]	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 D25, [X26, X25,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 D28, [X10, X17]	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 D2, D24, S3	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 D0, [X10, X18]	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 D4, D19, S25	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 D22, [X1, X16]	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 D1, D2, D28	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%)
FMADD D21, D4, D0, D1	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%)
FMADD D18, D21, D31, D22	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%)
STR D18, [X1, X16]	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%)
LDR Q17, [X26, X0]	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 Q27, [X26, X23]	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 Q5, [X7, X3]	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 D16, [X28, X15]	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 V20.2D, V17.2D, V27.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	vect (50.0%)
FMUL V6.2D, V20.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	vect (50.0%)
FADDP D23, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (50.0%)
FMADD D31, D23, D31, D16	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%)
STR D31, [X28, X15]	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%)
LDR W6, [SP, #180]	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 X27, X27, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W26, [SP, #288]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP W26, W27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42bc40 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x680>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W30, [SP, #300]	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 W9, [SP, #292]	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 W17, [SP, #296]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB W7, W30, W6	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
STR W9, [SP, #100]	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%)
B 42b6e0 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x120>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source file and lines	accelerate.cpp:42-53
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/context.h:69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp:42-53

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 39.33 to 12.00 cycles (3.28x speedup).

Workaround

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

Vectorization

Details

10% of VPU instructions are used in vector version (process two or more data elements in vector registers):

15% of VPU loads are used in vector version.
0% of VPU stores are used in vector version.
13% of VPU addition or subtraction instructions are used in vector version.
25% 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
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 8 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: 24 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)

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

The binary loop is composed of 36 FP arithmetical operations:

19: addition or subtraction (8 inside FMA instructions)
16: multiply (8 inside FMA instructions)
1: divide

The binary loop is loading 30 bytes. The binary loop is storing 12 bytes.

Arithmetic intensity

Arithmetic intensity is 0.86 FP operations per loaded or stored byte.

General properties

nb instructions	270
nb uops	270
loop length	1080
used w registers	16
used x registers	31
used b registers	0
used h registers	0
used s registers	3
used d registers	23
used q registers	5
used v registers	7
used z registers	0
nb stack references	64
ADD-SUB / MUL ratio	1.50

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	33.75 cycles
front end	33.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.50	2.50	30.75	30.75	30.75	30.75	7.00	7.00	7.00	7.00	39.33	39.33	39.33	10.00	10.00
cycles	2.50	2.50	30.75	30.75	30.75	30.75	7.00	7.00	7.00	7.00	39.33	39.33	39.33	10.00	10.00

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	1.75-3.50
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	33.75
Dispatch	39.33
DIV/SQRT	1.75-3.50
Data deps.	0.00
Overall L1	39.33

Vectorization ratios

INT

all	7%
load	15%
store	0%
mul	0%
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	16%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	22%
fma	0%
div/sqrt	0%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	10%
load	15%
store	0%
mul	25%
add-sub	13%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	28%
load	28%
store	29%
mul	25%
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
other	30%

all	31%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	33%
add-sub	36%
fma	25%
div/sqrt	25%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	29%
load	28%
store	29%
mul	31%
add-sub	31%
fma	25%
div/sqrt	25%
other	30%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 39.33 cycles. At this rate:

0% of peak load performance is reached (0.76 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.31 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: 42b6e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W3, W7, W17, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD W4, W6, W3	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
STR W3, [SP, #176]	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%)
STR W4, [SP, #180]	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%)
CMP W6, W4	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42bc04 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x644>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X11, [SP, #376]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB W2, W27, #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
LDP X5, X6, [SP, #304]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
SBFM X19, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDP X9, X7, [SP, #320]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X10, X12, [SP, #336]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X13, X14, [SP, #360]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X1, [X5]	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 X23, [X6]	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 X24, [X7]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X16, X27, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X25, [X10]	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 X15, X19, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X17, X19, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X8, [X9]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X20, X27, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X21, X19, X24	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X15, [SP, #280]	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%)
LDR X26, [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
MUL X22, X24, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
MUL X23, X19, X25	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X4, [SP, #352]	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 X24, X25, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X18, X27, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X28, [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
MUL X25, X19, X26	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X23, [SP, #232]	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%)
MUL X8, X26, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
STR X18, [SP, #160]	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%)
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
STP X24, X22, [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 (50.0%)
MUL X30, X27, X28	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STP X8, X25, [SP, #184]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
MUL X2, X27, X0	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STP X21, X20, [SP, #248]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X16, X17, [SP, #264]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR X3, [X13]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X2, [SP, #136]	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%)
LDR X19, [X14]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X30, [SP, #144]	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%)
LDR X18, [X5, #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 X3, X27, X3	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
LDR X1, [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
MUL X5, X27, X19	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	N/A
STR X3, [SP, #200]	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%)
LDR X30, [X6, #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
STR X18, [SP, #168]	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%)
LDR X6, [X9, #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 X28, [X10, #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 X9, [X7, #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
STR X6, [SP, #152]	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%)
LDR X12, [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
LDR X10, [X13, #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
STR X9, [SP, #240]	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%)
LDR X7, [X14, #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
STR X12, [SP, #208]	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%)
LDR W13, [SP, #176]	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 X26, [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
STP X7, X5, [SP, #104]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X10, X1, [SP, #120]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
CMP W13, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.EQ 42ba38 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x478>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UBFM W14, W13, #1, #31	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
ORR X11, XZR, X6	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
LDRSW X1, [SP, #100]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X19, X14, #60, #59	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
MOVZ X0, #0	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 X2, X15, 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 X15, X20, 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 X20, X23, 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 X23, X24, 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 X24, X3, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X17, X17, 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
UBFM X5, X24, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X24, [SP, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X25, X25, 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
UBFM X18, X2, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X10, X17, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X2, X15, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X21, X21, 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 X13, X22, 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
UBFM X4, X25, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X14, X9, X21,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X22, X10, #8	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, X9, X13,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X17, X30, X10	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 X10, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB X9, X2, #8	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 X25, X24, 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
UBFM X7, X20, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X20, X30, X9	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 X25, X11, X25,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X24, [SP, #136]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X15, X30, X2	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, X8, 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 X16, X16, 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
UBFM X6, X23, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X9, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X16, X16, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X23, X18, #8	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 X2, X10, 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
SUB X21, X16, #8	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 X8, [SP, #104]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X3, X3, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X11, X6, #8	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, X24, 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 X2, X12, X2,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X12, X7, #8	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 X22, X30, X22	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 X11, X28, X11	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 X24, X9, X10,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X10, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB X9, X4, #8	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 X6, X28, X6	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 X12, X28, X12	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, X28, 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 X9, X26, X9	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 X4, X26, X4	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, X10, 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
SUB X10, X5, #8	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, X8, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X8, [SP, #168]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X23, X8, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X18, X8, X18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X21, X8, 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 X16, X8, X16	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 X8, [SP, #120]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X10, X8, X10	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 X5, X8, X5	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
SUB X8, X3, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X3, X26, X3	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 X8, X26, X8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W19, [SP, #176]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
TBZ W19, #0, 42bc00 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x640>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W22, [SP, #100]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
AND W13, W19, #0xfffffffe	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 W17, W22, W13	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
STR W17, [SP, #100]	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%)
LDR W20, [SP, #100]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDP X6, X12, [SP, #256]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X5, X3, [SP, #224]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
SUB W15, W20, #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
SBFM X25, X20, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SBFM X24, X15, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
ADD X18, X6, X25	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 X4, X6, X24	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 X2, X12, X24	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 X7, [SP, #272]	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 X21, X12, X25	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 X14, X5, X25	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 X6, X3, X25	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 X0, [SP, #280]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X17, X14, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X1, [SP, #168]	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 X9, X7, X25	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 X16, X7, X24	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, [X30, 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%)
ADD X19, X0, X25	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 X22, X0, X24	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 D31, [X30, X9,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 D18, [X1, 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%)
LDR D20, [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 D17, [X30, X16,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 D16, [X30, X18,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 D27, D21, D18	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%)
LDR D5, [X1, X21,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 D23, D31, D20	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%)
LDR D6, [X1, X22,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 X8, [SP, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
FMADD D24, D16, D5, D23	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%)
LDR X11, [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
FMADD D7, D17, D6, D27	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%)
LDR X14, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X20, X8, X25	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 X19, [SP, #136]	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 X13, X11, X24	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 X15, X11, X25	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 X12, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X7, X13, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X11, X3, X24	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, X14, X25	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
UBFM X9, X11, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X23, [SP, #184]	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 X22, X19, X25	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 X10, [SP, #192]	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 X21, X12, X25	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 X8, [SP, #200]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
FADD D2, D24, D7	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%)
UBFM X16, X21, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X30, X23, X25	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, X23, X24	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 X4, [SP, #248]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X23, X1, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR D26, [X28, X7]	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 X5, X8, X24	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 X24, X10, X24	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR D3, [X28, X15,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, D30, D2	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%)
UBFM X3, X5, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X2, X4, X25	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 X25, X10, X25	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 X10, [SP, #240]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X18, X2, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X15, X13, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
UBFM X0, X24, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR D19, [X28, X9]	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 D25, [X28, X6,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FSUB D22, D26, S3	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 D0, [X10, X17]	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 D4, [X10, X18]	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 X11, [SP, #152]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FSUB D28, D19, S25	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 D1, D22, D0	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%)
LDR X1, [SP, #208]	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 D18, [X11, X20,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%)
FMADD D21, D28, D4, D1	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%)
LDR X20, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
FMADD D17, D21, D31, D18	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%)
STR D17, [X1, X16]	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%)
LDR Q16, [X28, X7]	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 Q27, [X28, X9]	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 X7, [SP, #120]	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 D5, [X20, X22,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 V20.2D, V27.2D, V16.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	vect (50.0%)
LDR X28, [SP, #104]	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 Q6, [X7, X3]	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%)
FMUL V23.2D, V20.2D, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	vect (50.0%)
FADDP D7, V23.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (50.0%)
FMADD D26, D7, D31, D5	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%)
STR D26, [X28, X15]	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%)
LDR D24, [X26, X23]	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 D3, [X26, X30,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 D19, [X26, X0]	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 D25, [X26, X25,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 D28, [X10, X17]	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 D2, D24, S3	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 D0, [X10, X18]	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 D4, D19, S25	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 D22, [X1, X16]	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 D1, D2, D28	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%)
FMADD D21, D4, D0, D1	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%)
FMADD D18, D21, D31, D22	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%)
STR D18, [X1, X16]	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%)
LDR Q17, [X26, X0]	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 Q27, [X26, X23]	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 Q5, [X7, X3]	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 D16, [X28, X15]	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 V20.2D, V17.2D, V27.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	vect (50.0%)
FMUL V6.2D, V20.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	vect (50.0%)
FADDP D23, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (50.0%)
FMADD D31, D23, D31, D16	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%)
STR D31, [X28, X15]	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%)
LDR W6, [SP, #180]	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 X27, X27, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W26, [SP, #288]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP W26, W27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42bc40 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x680>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W30, [SP, #300]	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 W9, [SP, #292]	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 W17, [SP, #296]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB W7, W30, W6	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
STR W9, [SP, #100]	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%)
B 42b6e0 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x120>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	accelerate_kernel(int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.0]
Source file and lines	accelerate.cpp:42-53
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/context.h:69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/accelerate.cpp:42-53

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 vectorizing your loop, you can lower the cost of an iteration from 21.50 to 10.81 cycles (1.99x speedup).

Details

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

Workaround

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

No data for this section

Slow data structures access

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

Details

Constant unknown stride: 24 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)

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

The binary loop does not contain any FP arithmetical operations. The binary loop is loading 24 bytes. The binary loop is storing 9 bytes.

General properties

nb instructions	152
nb uops	152
loop length	608
used w registers	13
used x registers	31
used b registers	0
used h registers	0
used s registers	1
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	41

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	19.00 cycles
front end	19.00 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	2.50	2.50	21.50	21.50	21.50	21.50	0.00	0.00	0.00	0.00	20.50	20.17	20.33	9.50	9.50
cycles	2.50	2.50	21.50	21.50	21.50	21.50	0.00	0.00	0.00	0.00	20.50	20.17	20.33	9.50	9.50

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	NA
Longest recurrence chain latency (RecMII)	0.00

Cycles summary

Front-end	19.00
Dispatch	21.50
Data deps.	0.00
Overall L1	21.50

Vectorization ratios

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

Vector efficiency ratios

all	25%
load	22%
store	30%
mul	25%
add-sub	24%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	26%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 21.50 cycles. At this rate:

1% of peak load performance is reached (1.12 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.42 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: 42b6e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W3, W7, W17, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W4, W6, W3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
STR W3, [SP, #176]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STR W4, [SP, #180]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
CMP W6, W4	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42bc04 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x644>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X11, [SP, #376]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB W2, W27, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
LDP X5, X6, [SP, #304]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
SBFM X19, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (100.0%)
LDP X9, X7, [SP, #320]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X10, X12, [SP, #336]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X13, X14, [SP, #360]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X1, [X5]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X23, [X6]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X24, [X7]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X16, X27, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X25, [X10]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X15, X19, X1	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X17, X19, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X8, [X9]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X20, X27, X23	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X21, X19, X24	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
STR X15, [SP, #280]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X26, [X11]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X22, X24, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X23, X19, X25	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X4, [SP, #352]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MUL X24, X25, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
MUL X18, X27, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X28, [X12]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X25, X19, X26	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
STR X23, [SP, #232]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
MUL X8, X26, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
STR X18, [SP, #160]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X0, [X4]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STP X24, X22, [SP, #216]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
MUL X30, X27, X28	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	N/A
STP X8, X25, [SP, #184]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
MUL X2, X27, X0	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
STP X21, X20, [SP, #248]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X16, X17, [SP, #264]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR X3, [X13]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STR X2, [SP, #136]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X19, [X14]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STR X30, [SP, #144]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X18, [X5, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X3, X27, X3	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X1, [X4, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X5, X27, X19	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	N/A
STR X3, [SP, #200]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X30, [X6, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X18, [SP, #168]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X6, [X9, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X28, [X10, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X9, [X7, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X6, [SP, #152]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X12, [X12, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X10, [X13, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X9, [SP, #240]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X7, [X14, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
STR X12, [SP, #208]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR W13, [SP, #176]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X26, [X11, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STP X7, X5, [SP, #104]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X10, X1, [SP, #120]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
CMP W13, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.EQ 42ba38 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x478>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UBFM W14, W13, #1, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ORR X11, XZR, X6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
LDRSW X1, [SP, #100]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
UBFM X19, X14, #60, #59	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
MOVZ X0, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X2, X15, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X15, X20, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X20, X23, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X23, X24, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X24, X3, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X17, X17, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
UBFM X5, X24, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
LDR X24, [SP, #160]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X25, X25, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
UBFM X18, X2, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
UBFM X10, X17, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
UBFM X2, X15, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X21, X21, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X13, X22, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
UBFM X4, X25, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X14, X9, X21,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
SUB X22, X10, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X13, X9, X13,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X17, X30, X10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X10, [SP, #144]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB X9, X2, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X25, X24, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
UBFM X7, X20, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X20, X30, X9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X25, X11, X25,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X24, [SP, #136]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X15, X30, X2	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X3, X8, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X16, X16, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
UBFM X6, X23, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
LDR X9, [SP, #128]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
UBFM X16, X16, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X23, X18, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X2, X10, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X21, X16, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X8, [SP, #104]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
UBFM X3, X3, #61, #60	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X11, X6, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X10, X24, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X2, X12, X2,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X12, X7, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X22, X30, X22	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X28, X11	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X24, X9, X10,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X10, [SP, #112]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
SUB X9, X4, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X6, X28, X6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X12, X28, X12	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X7, X28, X7	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X9, X26, X9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X4, X26, X4	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X1, X10, X1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X10, X5, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X1, X8, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X8, [SP, #168]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X23, X8, X23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X18, X8, X18	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X21, X8, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X16, X8, X16	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X8, [SP, #120]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X10, X8, X10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X5, X8, X5	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
SUB X8, X3, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X3, X26, X3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X8, X26, X8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W19, [SP, #176]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
TBZ W19, #0, 42bc00 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x640>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W6, [SP, #180]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X27, X27, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W26, [SP, #288]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
CMP W26, W27	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42bc40 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x680>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W30, [SP, #300]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR W9, [SP, #292]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR W17, [SP, #296]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W7, W30, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
STR W9, [SP, #100]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
B 42b6e0 <_Z17accelerate_kerneliiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.0+0x120>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

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

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

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x1
1x2	1	1	1	2	0.090000003576279	0.006019773427397
1x4	2	1	1	4	0.049999997019768	0.0059231510385871
1x8	4	1	1	8	0.035000000149012	0.0067270044237375
1x16	11	1	1	16	0.044999998062849	0.012095186859369
1x24	14	1	1	24	0.035000000149012	0.010012604296207
1x32	29	1	1	32	0.040000002831221	0.017286662012339
1x40	35	1	1	40	0.050000004470348	0.015983548015356
1x48	41	1	1	48	0.04500000551343	0.015945337712765
1x56	42	1	1	56	0.03999999910593	0.014032004401088
1x64	56	1	1	64	0.050000000745058	0.017791574820876

Report Configuration

Vectorization

Details

Workaround

FMA

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

Vectorization

Details

Workaround

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

FMA

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

FMA

Workaround

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

Vectorization

Details

Workaround

Slow data structures access

Details

Workaround

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios