OV - exec - Loop 154

	Loop Id: 154	Module: exec	Source: calc_dt_kernel.f90:93-129	Coverage: NA%

0x422b28 LDR	X18, [SP, #160]

0x422b2c LDR	D31, [X25, X15]

0x422b30 LDR	D26, [X24, X15]

0x422b34 LDR	D24, [X18]

0x422b38 LDR	X18, [SP, #184]

0x422b3c LDR	D20, [X26]

0x422b40 FADD	D26, D26, D31

0x422b44 LDR	D19, [X27]

0x422b48 FNEG	D18, D24

0x422b4c LDR	D16, [X18, X14,LSL #3]

0x422b50 LDR	X14, [SP, #168]

0x422b54 FADD	D20, D20, D20

0x422b58 LDR	D25, [X20]

0x422b5c FADD	D19, D19, D19

0x422b60 LDR	X18, [SP, #112]

0x422b64 LDR	D17, [X14]

0x422b68 LDR	X14, [SP, #192]

0x422b6c LDR	X1, [SP, #176]

0x422b70 LDR	D22, [X14, X16]

0x422b74 LDR	X14, [SP, #200]

0x422b78 LDR	D23, [X14, X16]

0x422b7c HINT	#0

  (153) 0x422b80 FMUL	D30, D26, D25

  (153) 0x422b84 LDR	D0, [X5, X1,LSL #3]

  (153) 0x422b88 LDR	D29, [X4, X1,LSL #3]

  (153) 0x422b8c LDR	D15, [X6, X1,LSL #3]

  (153) 0x422b90 FABS	D4, D30

  (153) 0x422b94 LDR	D1, [X2, X1,LSL #3]

  (153) 0x422b98 FADD	D5, D0, D22

  (153) 0x422b9c FMOV	D22, D0

  (153) 0x422ba0 LDR	D27, [X11, X1,LSL #3]

  (153) 0x422ba4 FADD	D2, D29, D23

  (153) 0x422ba8 FMOV	D23, D29

  (153) 0x422bac LDR	D28, [X10, X1,LSL #3]

  (153) 0x422bb0 LDR	D25, [X3, X1,LSL #3]

  (153) 0x422bb4 FADD	D26, D1, D15

  (153) 0x422bb8 LDR	D3, [X7, X1,LSL #3]

  (153) 0x422bbc FMUL	D0, D5, D27

  (153) 0x422bc0 FMUL	D31, D2, D28

  (153) 0x422bc4 LDR	D15, [X9, X1,LSL #3]

  (153) 0x422bc8 FMUL	D1, D26, D25

  (153) 0x422bcc LDR	D28, [X12, X1,LSL #3]

  (153) 0x422bd0 FADD	D6, D3, D3

  (153) 0x422bd4 FABS	D5, D0

  (153) 0x422bd8 LDR	D27, [X28, X1,LSL #3]

  (153) 0x422bdc FMINNM	D2, D16, D27

  (153) 0x422be0 FMUL	D27, D2, D17

  (153) 0x422be4 FSUB	D30, D31, S30

  (153) 0x422be8 FABS	D3, D31

  (153) 0x422bec FMAXNM	D31, D3, D5

  (153) 0x422bf0 LDR	D29, [X8, X1,LSL #3]

  (153) 0x422bf4 FSUB	D5, D1, S0

  (153) 0x422bf8 FADD	D0, D28, D28

  (153) 0x422bfc FMUL	D3, D20, D28

  (153) 0x422c00 FMUL	D2, D19, D28

  (153) 0x422c04 FDIV	D15, D6, D15

  (153) 0x422c08 FMUL	D28, D24, D28

  (153) 0x422c0c FMAXNM	D6, D31, D28

  (153) 0x422c10 FABS	D1, D1

  (153) 0x422c14 FMAXNM	D4, D4, D28

  (153) 0x422c18 FMAXNM	D1, D4, D1

  (153) 0x422c1c FADD	D30, D30, D5

  (153) 0x422c20 FDIV	D5, D3, D6

  (153) 0x422c24 FDIV	D31, D30, D0

  (153) 0x422c28 FMADD	D29, D29, D29, D15

  (153) 0x422c2c FDIV	D0, D2, D1

  (153) 0x422c30 FSQRT	D3, D29

  (153) 0x422c34 FMAXNM	D2, D24, D3

  (153) 0x422c38 FCMPE	D18, D31

  (153) 0x422c3c FDIV	D27, D27, D2

  (153) 0x422c40 FMINNM	D15, D5, D27

  (153) 0x422c44 B.GT	422cf4

  (153) 0x422c48 ADD	X1, X1, #1

  (153) 0x422c4c LDR	D28, [X30]

  (153) 0x422c50 FMINNM	D4, D0, D28

  (153) 0x422c54 FMINNM	D6, D4, D15

  (153) 0x422c58 FMINNM	D21, D21, D6

  (153) 0x422c5c CMP	W13, W1

  (153) 0x422c60 B.GE	422b80

0x422c64 LDR	W14, [SP, #156]

0x422c68 MOVZ	W1, #1

0x422c6c STR	X18, [SP, #112]

0x422c70 STR	W14, [SP, #212]

0x422c74 LDR	X14, [SP, #128]

0x422c78 ADD	X9, X9, X19

0x422c7c ADD	X6, X6, X21

0x422c80 ADD	X2, X2, X21

0x422c84 ADD	X3, X3, X23

0x422c88 LDR	W18, [SP, #124]

0x422c8c ADD	X5, X5, X17

0x422c90 ADD	X11, X11, X22

0x422c94 ADD	X4, X4, X17

0x422c98 ADD	X10, X10, X22

0x422c9c ADD	X20, X20, X23

0x422ca0 ADD	X15, X15, X21

0x422ca4 ADD	X8, X8, X14

0x422ca8 LDR	X14, [SP, #136]

0x422cac ADD	X16, X16, X17

0x422cb0 ADD	X7, X7, X14

0x422cb4 LDR	X14, [SP, #144]

0x422cb8 ADD	X12, X12, X14

0x422cbc ORR	X14, XZR, X0

0x422cc0 CMP	W18, W0

0x422cc4 B.LE	422d1c

0x422cc8 LDR	W18, [SP, #152]

0x422ccc ADD	X0, X0, #1

0x422cd0 CMP	W18, W13

0x422cd4 B.LE	422b28

  (153) 0x422cf4 FDIV	D1, D7, D31

  (153) 0x422cf8 LDR	D30, [X18]

  (153) 0x422cfc ADD	X1, X1, #1

  (153) 0x422d00 FNMUL	D5, D1, D30

  (153) 0x422d04 FMINNM	D31, D5, D0

  (153) 0x422d08 FMINNM	D29, D31, D15

  (153) 0x422d0c FMINNM	D21, D21, D29

  (153) 0x422d10 CMP	W13, W1

  (153) 0x422d14 B.GE	422b80

0x422d18 B	422c64

/home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/calc_dt_kernel.f90: 93 - 129

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

93:     !$OMP SIMD

94:       DO j=x_min,x_max

95:

96:         dsx=celldx(j)

97:         dsy=celldy(k)

98:

99:         cc=soundspeed(j,k)*soundspeed(j,k)

100:         cc=cc+2.0_8*viscosity_a(j,k)/density0(j,k)

101:         cc=MAX(SQRT(cc),g_small)

102:

103:         dtct=dtc_safe*MIN(dsx,dsy)/cc

104:

105:         div=0.0

106:

107:         dv1=(xvel0(j  ,k)+xvel0(j  ,k+1))*xarea(j  ,k)

108:         dv2=(xvel0(j+1,k)+xvel0(j+1,k+1))*xarea(j+1,k)

109:

110:         div=div+dv2-dv1

111:

112:         dtut=dtu_safe*2.0_8*volume(j,k)/MAX(ABS(dv1),ABS(dv2),g_small*volume(j,k))

113:

114:         dv1=(yvel0(j,k  )+yvel0(j+1,k  ))*yarea(j,k  )

115:         dv2=(yvel0(j,k+1)+yvel0(j+1,k+1))*yarea(j,k+1)

116:

117:         div=div+dv2-dv1

118:

119:         dtvt=dtv_safe*2.0_8*volume(j,k)/MAX(ABS(dv1),ABS(dv2),g_small*volume(j,k))

120:

121:         div=div/(2.0_8*volume(j,k))

122:

123:         IF(div.LT.-g_small)THEN

124:           dtdivt=dtdiv_safe*(-1.0_8/div)

125:         ELSE

126:           dtdivt=g_big

127:         ENDIF

128:

129:         dt_min_val=MIN(dt_min_val,dtct,dtut,dtvt,dtdivt)

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	2.08
CQA speedup if FP arith vectorized	1.56
CQA speedup if fully vectorized	5.33
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.31
Bottlenecks	P10, P11, P12,
Function	__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0
Source	calc_dt_kernel.f90:93-93,calc_dt_kernel.f90:97-97,calc_dt_kernel.f90:101-103,calc_dt_kernel.f90:107-107,calc_dt_kernel.f90:114-115,calc_dt_kernel.f90:123-123,calc_dt_kernel.f90:129-129
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	8.33
CQA cycles if no scalar integer	4.00
CQA cycles if FP arith vectorized	5.33
CQA cycles if fully vectorized	1.56
Front-end cycles	6.38
P0 cycles	1.50
P1 cycles	1.50
P2 cycles	4.75
P3 cycles	4.75
P4 cycles	4.75
P5 cycles	4.75
P6 cycles	1.00
P7 cycles	1.00
P8 cycles	1.00
P9 cycles	1.00
P10 cycles	8.33
P11 cycles	8.33
P12 cycles	8.33
P13 cycles	1.00
P14 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	52.00
Nb uops	51.00
Nb loads	NA
Nb stores	2.00
Nb stack references	15.00
FLOP/cycle	0.36
Nb FLOP add-sub	3.00
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	1.44
Bytes prefetched	0.00
Bytes loaded	9.00
Bytes stored	3.00
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	23.79
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	18.75
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	16.67

Metric	Value
CQA speedup if no scalar integer	2.08
CQA speedup if FP arith vectorized	1.56
CQA speedup if fully vectorized	5.33
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.31
Bottlenecks	P10, P11, P12,
Function	__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0
Source	calc_dt_kernel.f90:93-93,calc_dt_kernel.f90:97-97,calc_dt_kernel.f90:101-103,calc_dt_kernel.f90:107-107,calc_dt_kernel.f90:114-115,calc_dt_kernel.f90:123-123,calc_dt_kernel.f90:129-129
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	8.33
CQA cycles if no scalar integer	4.00
CQA cycles if FP arith vectorized	5.33
CQA cycles if fully vectorized	1.56
Front-end cycles	6.38
P0 cycles	1.50
P1 cycles	1.50
P2 cycles	4.75
P3 cycles	4.75
P4 cycles	4.75
P5 cycles	4.75
P6 cycles	1.00
P7 cycles	1.00
P8 cycles	1.00
P9 cycles	1.00
P10 cycles	8.33
P11 cycles	8.33
P12 cycles	8.33
P13 cycles	1.00
P14 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	52.00
Nb uops	51.00
Nb loads	NA
Nb stores	2.00
Nb stack references	15.00
FLOP/cycle	0.36
Nb FLOP add-sub	3.00
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	1.44
Bytes prefetched	0.00
Bytes loaded	9.00
Bytes stored	3.00
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	23.79
Vector-efficiency ratio load	25.00
Vector-efficiency ratio store	18.75
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	16.67

Path /

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

Function	__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0
Source file and lines	calc_dt_kernel.f90:93-129
Module	exec

The loop is defined in /home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/calc_dt_kernel.f90:93-129.

Analyzed code is defined in /home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/calc_dt_kernel.f90:93,97,101-103,107,114-115,123,129.

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Failed to get the number of paths
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 8.33 to 4.00 cycles (2.08x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
To reference allocatable arrays, use "allocatable" instead of "pointer" pointers or qualify them with the "contiguous" attribute (Fortran 2008)
For structures, limit to one indirection. For example, use a_b%c instead of a%b%c with a_b set to a%b before this loop

Vectorization

Your loop is not vectorized. Only 23% of vector register length is used (average across all VPU instructions). By vectorizing your loop, you can lower the cost of an iteration from 8.33 to 1.56 cycles (5.33x 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: Fortran storage order is column-major: do i do j a(i,j) = b(i,j) (slow, non stride 1) => do i do j a(j,i) = b(i,j) (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): do i a(i)%x = b(i)%x (slow, non stride 1) => do 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 is composed of 3 FP arithmetical operations:

3: addition or subtraction

The binary loop is loading 9 bytes. The binary loop is storing 3 bytes.

Arithmetic intensity

Arithmetic intensity is 0.25 FP operations per loaded or stored byte.

General properties

nb instructions	52
nb uops	51
loop length	208
used w registers	5
used x registers	28
used b registers	0
used h registers	0
used s registers	1
used d registers	11
used q registers	0
used v registers	0
used z registers	0
nb stack references	15

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.38 cycles
front end	6.38 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.50	1.50	4.75	4.75	4.75	4.75	1.00	1.00	1.00	1.00	8.33	8.33	8.33	1.00	1.00
cycles	1.50	1.50	4.75	4.75	4.75	4.75	1.00	1.00	1.00	1.00	8.33	8.33	8.33	1.00	1.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions

Cycles summary

Front-end	6.38
Dispatch	8.33
Overall L1	8.33

Vectorization ratios

INT

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

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

INT+FP

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

INT

all	23%
load	25%
store	18%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
other	12%

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

INT+FP

all	23%
load	25%
store	18%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	16%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 8.33 cycles. At this rate:

1% of peak load performance is reached (1.08 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.36 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: 422c74

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
LDR X18, [SP, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR D31, [X25, 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%)
LDR D26, [X24, 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%)
LDR D24, [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 X18, [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
LDR D20, [X26]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FADD D26, D26, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D19, [X27]	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%)
FNEG D18, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D16, [X18, X14,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDR X14, [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
FADD D20, D20, D20	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 D25, [X20]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FADD D19, D19, D19	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 X18, [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
LDR D17, [X14]	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 X14, [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
LDR X1, [SP, #176]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR D22, [X14, 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%)
LDR X14, [SP, #200]	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 D23, [X14, 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%)
HINT #0																			N/A
LDR W14, [SP, #156]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W1, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
STR X18, [SP, #112]	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%)
STR W14, [SP, #212]	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 X14, [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
ADD X9, X9, X19	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 X6, X6, X21	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 X2, X2, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X3, X3, X23	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 W18, [SP, #124]	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 X5, X5, X17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X11, X22	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 X4, X4, X17	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 X10, X10, X22	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 X20, X20, 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 X15, X15, 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 X8, X8, X14	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 X14, [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 X16, X16, X17	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, X7, X14	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 X14, [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
ADD X12, X12, X14	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ORR X14, XZR, X0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W18, W0	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 422d1c <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x43c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W18, [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
ADD X0, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
CMP W18, W13	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LE 422b28 <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x248>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
B 422c64 <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x384>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0
Source file and lines	calc_dt_kernel.f90:93-129
Module	exec

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Failed to get the number of paths
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 8.33 to 4.00 cycles (2.08x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)
To reference allocatable arrays, use "allocatable" instead of "pointer" pointers or qualify them with the "contiguous" attribute (Fortran 2008)
For structures, limit to one indirection. For example, use a_b%c instead of a%b%c with a_b set to a%b before this loop

Vectorization

Details

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

Workaround

Try another compiler or update/tune your current one
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly: Fortran storage order is column-major: do i do j a(i,j) = b(i,j) (slow, non stride 1) => do i do j a(j,i) = b(i,j) (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): do i a(i)%x = b(i)%x (slow, non stride 1) => do 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 is composed of 3 FP arithmetical operations:

3: addition or subtraction

The binary loop is loading 9 bytes. The binary loop is storing 3 bytes.

Arithmetic intensity

Arithmetic intensity is 0.25 FP operations per loaded or stored byte.

General properties

nb instructions	52
nb uops	51
loop length	208
used w registers	5
used x registers	28
used b registers	0
used h registers	0
used s registers	1
used d registers	11
used q registers	0
used v registers	0
used z registers	0
nb stack references	15

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.38 cycles
front end	6.38 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.50	1.50	4.75	4.75	4.75	4.75	1.00	1.00	1.00	1.00	8.33	8.33	8.33	1.00	1.00
cycles	1.50	1.50	4.75	4.75	4.75	4.75	1.00	1.00	1.00	1.00	8.33	8.33	8.33	1.00	1.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions

Cycles summary

Front-end	6.38
Dispatch	8.33
Overall L1	8.33

Vectorization ratios

INT

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

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

INT+FP

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

INT

all	23%
load	25%
store	18%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
other	12%

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

INT+FP

all	23%
load	25%
store	18%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	16%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 8.33 cycles. At this rate:

1% of peak load performance is reached (1.08 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.36 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: 422c74

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
LDR X18, [SP, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR D31, [X25, 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%)
LDR D26, [X24, 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%)
LDR D24, [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 X18, [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
LDR D20, [X26]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FADD D26, D26, D31	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D19, [X27]	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%)
FNEG D18, D24	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
LDR D16, [X18, X14,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDR X14, [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
FADD D20, D20, D20	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 D25, [X20]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
FADD D19, D19, D19	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 X18, [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
LDR D17, [X14]	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 X14, [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
LDR X1, [SP, #176]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR D22, [X14, 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%)
LDR X14, [SP, #200]	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 D23, [X14, 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%)
HINT #0																			N/A
LDR W14, [SP, #156]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W1, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
STR X18, [SP, #112]	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%)
STR W14, [SP, #212]	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 X14, [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
ADD X9, X9, X19	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 X6, X6, X21	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 X2, X2, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X3, X3, X23	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 W18, [SP, #124]	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 X5, X5, X17	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X11, X22	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 X4, X4, X17	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 X10, X10, X22	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 X20, X20, 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 X15, X15, 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 X8, X8, X14	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 X14, [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 X16, X16, X17	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, X7, X14	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 X14, [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
ADD X12, X12, X14	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ORR X14, XZR, X0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP W18, W0	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 422d1c <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x43c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W18, [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
ADD X0, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
CMP W18, W13	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LE 422b28 <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x248>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
B 422c64 <__calc_dt_kernel_module_MOD_calc_dt_kernel._omp_fn.0+0x384>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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/178-231-1255/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_5/oneview_run_1782340583OMP_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

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x1
1x2
1x4
1x8
1x16
1x24	11	1	1	24	0.030000003054738	0.0068075573071837
1x32	22	1	1	32	0.050000000745058	0.010919448919594
1x40	26	1	1	40	0.035000003874302	0.011048424057662
1x48	34	1	1	48	0.045000001788139	0.011552038602531
1x56	44	1	1	56	0.035000000149012	0.013284534215927
1x64	40	1	1	64	0.044999998062849	0.01057028118521

Report Configuration

Code clean check

Workaround

Vectorization

Details

Workaround

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

Arithmetic intensity

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

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

▶Scalability Runs Description

▼Columns Filter

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency