OV - exec - Loop 64

	Loop Id: 64	Module: exec	Source: accelerate_kernel.f90:67-76	Coverage: 4.75%

0x4179b0 MOV	0x268(%RSP),%RSI    [24]

0x4179b8 MOV	0x270(%RSP),%R13    [24]

0x4179c0 VMOVUPD	(%R11,%RAX,1),%ZMM27    [21]

0x4179c7 VSUBPD	(%R9,%RAX,1),%ZMM27,%ZMM16    [22]

0x4179ce VMOVUPD	(%RSI,%RAX,1),%ZMM0    [20]

0x4179d5 VMULPD	(%R13,%RAX,1),%ZMM0,%ZMM0    [15]

0x4179dd VMOVQ	%XMM8,%RSI

0x4179e2 VMOVQ	%XMM13,%R13

0x4179e7 VMOVUPD	(%R13,%RAX,1),%ZMM6    [14]

0x4179ef VMOVQ	%XMM21,%R13

0x4179f5 VFMADD231PD	(%RSI,%RAX,1),%ZMM6,%ZMM0    [19]

0x4179fc VMOVQ	%XMM17,%RSI

0x417a02 VMOVUPD	(%R13,%RAX,1),%ZMM1    [13]

0x417a0a VMOVQ	%XMM18,%R13

0x417a10 VMULPD	(%RSI,%RAX,1),%ZMM1,%ZMM6    [18]

0x417a17 VMOVQ	%XMM19,%RSI

0x417a1d VMOVUPD	(%RSI,%RAX,1),%ZMM4    [17]

0x417a24 VMOVQ	%XMM7,%RSI

0x417a29 VFMADD231PD	(%R13,%RAX,1),%ZMM4,%ZMM6    [12]

0x417a31 VADDPD	%ZMM6,%ZMM0,%ZMM0

0x417a37 MOV	0x278(%RSP),%R13    [24]

0x417a3f VMOVUPD	(%RDI,%RAX,1),%ZMM4    [5]

0x417a46 VMULPD	%ZMM12,%ZMM0,%ZMM1

0x417a4c VSUBPD	(%RSI,%RAX,1),%ZMM4,%ZMM0    [4]

0x417a53 VMOVQ	%XMM14,%RSI

0x417a58 VDIVPD	%ZMM1,%ZMM15,%ZMM6

0x417a5e VMULPD	(%R13,%RAX,1),%ZMM16,%ZMM27    [11]

0x417a66 VMOVQ	%XMM7,%R13

0x417a6b VFMADD132PD	(%RBX,%RAX,1),%ZMM27,%ZMM0    [26]

0x417a72 VFNMADD213PD	(%RSI,%RAX,1),%ZMM6,%ZMM0    [3]

0x417a79 VMOVUPD	%ZMM0,(%RCX,%RAX,1)    [25]

0x417a80 VMOVUPD	(%R13,%RAX,1),%ZMM16    [10]

0x417a88 MOV	0x278(%RSP),%R13    [24]

0x417a90 VSUBPD	(%R9,%RAX,1),%ZMM16,%ZMM27    [22]

0x417a97 VMOVUPD	(%RDI,%RAX,1),%ZMM1    [5]

0x417a9e VMOVQ	%XMM2,%RSI

0x417aa3 VSUBPD	(%R11,%RAX,1),%ZMM1,%ZMM4    [21]

0x417aaa VMULPD	(%R12,%RAX,1),%ZMM27,%ZMM16    [7]

0x417ab1 VFMADD132PD	(%R10,%RAX,1),%ZMM16,%ZMM4    [6]

0x417ab8 VFNMADD213PD	(%RSI,%RAX,1),%ZMM6,%ZMM4    [2]

0x417abf VMOVQ	%XMM20,%RSI

0x417ac5 VMOVUPD	%ZMM4,(%RDX,%RAX,1)    [27]

0x417acc VMOVUPD	(%R8,%RAX,1),%ZMM27    [8]

0x417ad3 VSUBPD	(%RSI,%RAX,1),%ZMM27,%ZMM16    [1]

0x417ada VMOVUPD	(%R15,%RAX,1),%ZMM0    [16]

0x417ae1 VSUBPD	(%R14,%RAX,1),%ZMM0,%ZMM1    [23]

0x417ae8 VMULPD	(%R13,%RAX,1),%ZMM16,%ZMM27    [9]

0x417af0 VFMADD132PD	(%RBX,%RAX,1),%ZMM27,%ZMM1    [26]

0x417af7 VFNMADD213PD	(%RCX,%RAX,1),%ZMM6,%ZMM1    [25]

0x417afe VMOVUPD	%ZMM1,(%RCX,%RAX,1)    [25]

0x417b05 VMOVUPD	(%R14,%RAX,1),%ZMM16    [23]

0x417b0c VSUBPD	(%RSI,%RAX,1),%ZMM16,%ZMM27    [1]

0x417b13 VMOVUPD	(%R15,%RAX,1),%ZMM4    [16]

0x417b1a VSUBPD	(%R8,%RAX,1),%ZMM4,%ZMM0    [8]

0x417b21 VMULPD	(%R12,%RAX,1),%ZMM27,%ZMM16    [7]

0x417b28 VFMADD132PD	(%R10,%RAX,1),%ZMM16,%ZMM0    [6]

0x417b2f VFNMADD213PD	(%RDX,%RAX,1),%ZMM0,%ZMM6    [27]

0x417b36 VMOVUPD	%ZMM6,(%RDX,%RAX,1)    [27]

0x417b3d ADD	$0x40,%RAX

0x417b41 CMP	%RAX,0x260(%RSP)    [24]

0x417b49 JNE	4179b0

/home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90: 67 - 76

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

67:           *0.25_8)

68:

69:         xvel1(j,k)=xvel0(j,k)-stepbymass_s*(xarea(j  ,k  )*(pressure(j  ,k  )-pressure(j-1,k  ))    &

70:           +xarea(j  ,k-1)*(pressure(j  ,k-1)-pressure(j-1,k-1)))

71:         yvel1(j,k)=yvel0(j,k)-stepbymass_s*(yarea(j  ,k  )*(pressure(j  ,k  )-pressure(j  ,k-1))    &

72:           +yarea(j-1,k  )*(pressure(j-1,k  )-pressure(j-1,k-1)))

73:         xvel1(j,k)=xvel1(j,k)-stepbymass_s*(xarea(j  ,k  )*(viscosity(j  ,k  )-viscosity(j-1,k  )) &

74:           +xarea(j  ,k-1)*(viscosity(j  ,k-1)-viscosity(j-1,k-1)))

75:         yvel1(j,k)=yvel1(j,k)-stepbymass_s*(yarea(j  ,k  )*(viscosity(j  ,k  )-viscosity(j  ,k-1)) &

76:           +yarea(j-1,k  )*(viscosity(j-1,k  )-viscosity(j-1,k-1)))

Coverage (%)	Name	Source Location	Module
►99.90+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec

Coverage (%)	Name	Source Location	Module
►86.54+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►12.11+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec
►1.34+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec

Coverage (%)	Name	Source Location	Module
►91.57+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►7.60+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec

Coverage (%)	Name	Source Location	Module
►93.11+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►6.76+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec

Coverage (%)	Name	Source Location	Module
►95.31+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►4.10+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec

Coverage (%)	Name	Source Location	Module
►95.63+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►3.34+	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0
○	accelerate_kernel	accelerate_kernel.f90:83	exec
○	accelerate	accelerate.f90:41	exec
○	hydro	hydro.f90:58	exec
○	main	clover_leaf.f90:41	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.f90:41	exec

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

Path /

Metric	Value
CQA speedup if no scalar integer	1.10
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.25
Bottlenecks	P6, P7, P8, P9,
Function	__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0
Source	accelerate_kernel.f90:67-76
Source loop unroll info	unrolled by 8
Source loop unroll confidence level	high
Unroll/vectorization loop type	main
Unroll factor	8
CQA cycles	11.25
CQA cycles if no scalar integer	10.25
CQA cycles if FP arith vectorized	11.25
CQA cycles if fully vectorized	11.25
Front-end cycles	7.50
P0 cycles	0.33
P1 cycles	0.33
P2 cycles	0.33
P3 cycles	0.33
P4 cycles	0.33
P5 cycles	0.33
P6 cycles	11.25
P7 cycles	11.25
P8 cycles	11.25
P9 cycles	11.25
P10 cycles	9.00
P11 cycles	9.00
P12 cycles	4.50
P13 cycles	4.50
P14 cycles	7.50
P15 cycles	7.50
DIV/SQRT cycles	4.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	61.00
Nb uops	60.00
Nb loads	41.00
Nb stores	4.00
Nb stack references	4.00
FLOP/cycle	26.31
Nb FLOP add-sub	72.00
Nb FLOP mul	56.00
Nb FLOP fma	80.00
Nb FLOP div	8.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	231.11
Bytes prefetched	0.00
Bytes loaded	2344.00
Bytes stored	256.00
Stride 0	1.00
Stride 1	26.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	79.63
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	82.18
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	100.00
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	100.00
Vector-efficiency ratio div_sqrt	100.00
Vector-efficiency ratio other	12.50

Metric	Value
CQA speedup if no scalar integer	1.10
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	1.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.25
Bottlenecks	P6, P7, P8, P9,
Function	__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0
Source	accelerate_kernel.f90:67-76
Source loop unroll info	unrolled by 8
Source loop unroll confidence level	high
Unroll/vectorization loop type	main
Unroll factor	8
CQA cycles	11.25
CQA cycles if no scalar integer	10.25
CQA cycles if FP arith vectorized	11.25
CQA cycles if fully vectorized	11.25
Front-end cycles	7.50
P0 cycles	0.33
P1 cycles	0.33
P2 cycles	0.33
P3 cycles	0.33
P4 cycles	0.33
P5 cycles	0.33
P6 cycles	11.25
P7 cycles	11.25
P8 cycles	11.25
P9 cycles	11.25
P10 cycles	9.00
P11 cycles	9.00
P12 cycles	4.50
P13 cycles	4.50
P14 cycles	7.50
P15 cycles	7.50
DIV/SQRT cycles	4.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	61.00
Nb uops	60.00
Nb loads	41.00
Nb stores	4.00
Nb stack references	4.00
FLOP/cycle	26.31
Nb FLOP add-sub	72.00
Nb FLOP mul	56.00
Nb FLOP fma	80.00
Nb FLOP div	8.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	231.11
Bytes prefetched	0.00
Bytes loaded	2344.00
Bytes stored	256.00
Stride 0	1.00
Stride 1	26.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	79.63
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	0.00
Vector-efficiency ratio all	82.18
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	100.00
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	100.00
Vector-efficiency ratio div_sqrt	100.00
Vector-efficiency ratio other	12.50

Path /

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

Function	__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0
Source file and lines	accelerate_kernel.f90:67-76
Module	exec

The loop is defined in /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67-76.

It is main loop of related source loop which is unrolled by 8 (including vectorization).

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 11.25 to 10.25 cycles (1.10x 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 partially vectorized. 82% of vector register length is used (average across all SSE/AVX instructions).

Details

79% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

0% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Execution units bottlenecks

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 11.25 to 9.00 cycles (1.25x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop

FMA

Detected 80 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).

Vector unaligned load/store instructions

Detected 16 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 16 occurrences►
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76

Workaround

Use vector aligned instructions:

The GNU Fortran compiler does not support allocation alignment and does not feature directives to benefit from aligned data.
Use another compiler or locally use C code (for instance via libraries)

Type of elements and instruction set

27 AVX-512 instructions are processing arithmetic or math operations on double precision FP elements in vector mode (eight at a time).

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

The binary loop is composed of 296 FP arithmetical operations:

152: addition or subtraction (80 inside FMA instructions)
136: multiply (80 inside FMA instructions)
8: divide

The binary loop is loading 2344 bytes (293 double precision FP elements). The binary loop is storing 256 bytes (32 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.11 FP operations per loaded or stored byte.

General properties

nb instructions	61
nb uops	60
loop length	415
used x86 registers	15
used mmx registers	0
used xmm registers	10
used ymm registers	0
used zmm registers	8
nb stack references	4
ADD-SUB / MUL ratio	1.29

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	7.50 cycles
front end	7.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	0.33	0.33	0.33	0.33	0.33	0.33	11.25	11.25	11.25	11.25	9.00	9.00	4.50	4.50	7.50	7.50
cycles	0.33	0.33	0.33	0.33	0.33	0.33	11.25	11.25	11.25	11.25	9.00	9.00	4.50	4.50	7.50	7.50

Execution ports to units layout:

P0: ALU
P1: ALU
P2: ALU
P3: ALU, BRU
P4: ALU, BRU
P5: ALU, BRU
P6 (512 bits): store address, load
P7 (512 bits): store address, load
P8 (512 bits): store address, load
P9 (512 bits): store address, load
P10 (512 bits): VPU, DIV/SQRT
P11 (512 bits): VPU, DIV/SQRT
P12 (512 bits): VPU
P13 (512 bits): VPU
P14 (512 bits): FP store data
P15 (512 bits): FP store data

Cycles executing div or sqrt instructions	4.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	7.50
Dispatch	11.25
DIV/SQRT	4.00
Data deps.	1.00
Overall L1	11.25

Vectorization ratios

INT

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	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	79%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	0%

Vector efficiency ratios

INT

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

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	82%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	12%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.25 cycles. At this rate:

81% of peak load performance is reached (208.36 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
17% of peak store performance is reached (22.76 out of 128.00 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: 4179b0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOV 0x268(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOV 0x270(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VMOVUPD (%R11,%RAX,1),%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R9,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%RSI,%RAX,1),%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM0,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM8,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVQ %XMM13,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%R13,%RAX,1),%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM21,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD231PD (%RSI,%RAX,1),%ZMM6,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVQ %XMM17,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%R13,%RAX,1),%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM18,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMULPD (%RSI,%RAX,1),%ZMM1,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM19,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%RSI,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM7,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD231PD (%R13,%RAX,1),%ZMM4,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VADDPD %ZMM6,%ZMM0,%ZMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
MOV 0x278(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VMOVUPD (%RDI,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMULPD %ZMM12,%ZMM0,%ZMM1	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM4,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVQ %XMM14,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VDIVPD %ZMM1,%ZMM15,%ZMM6	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM7,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD132PD (%RBX,%RAX,1),%ZMM27,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RSI,%RAX,1),%ZMM6,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM0,(%RCX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R13,%RAX,1),%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
MOV 0x278(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VSUBPD (%R9,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%RDI,%RAX,1),%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM2,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VSUBPD (%R11,%RAX,1),%ZMM1,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R12,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%R10,%RAX,1),%ZMM16,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RSI,%RAX,1),%ZMM6,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVQ %XMM20,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD %ZMM4,(%RDX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R8,%RAX,1),%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%R15,%RAX,1),%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R14,%RAX,1),%ZMM0,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%RBX,%RAX,1),%ZMM27,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RCX,%RAX,1),%ZMM6,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM1,(%RCX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R14,%RAX,1),%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%R15,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R8,%RAX,1),%ZMM4,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R12,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%R10,%RAX,1),%ZMM16,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RDX,%RAX,1),%ZMM0,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM6,(%RDX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
ADD $0x40,%RAX	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP %RAX,0x260(%RSP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.25	N/A
JNE 4179b0 <__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0+0x820>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A

Function	__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0
Source file and lines	accelerate_kernel.f90:67-76
Module	exec

gain
potential
hint
expert

Code clean check

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 partially vectorized. 82% of vector register length is used (average across all SSE/AVX instructions).

Details

79% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

0% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Execution units bottlenecks

Performance is limited by:

reading data from caches/RAM (load units are a bottleneck)
writing data to caches/RAM (the store unit is a bottleneck)

By removing all these bottlenecks, you can lower the cost of an iteration from 11.25 to 9.00 cycles (1.25x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop

FMA

Detected 80 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Vector unaligned load/store instructions

Detected 16 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 16 occurrences►
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:67
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:70
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:72
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:74
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76
- /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/accelerate_kernel.f90:76

Workaround

Use vector aligned instructions:

The GNU Fortran compiler does not support allocation alignment and does not feature directives to benefit from aligned data.
Use another compiler or locally use C code (for instance via libraries)

Type of elements and instruction set

27 AVX-512 instructions are processing arithmetic or math operations on double precision FP elements in vector mode (eight at a time).

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

The binary loop is composed of 296 FP arithmetical operations:

152: addition or subtraction (80 inside FMA instructions)
136: multiply (80 inside FMA instructions)
8: divide

The binary loop is loading 2344 bytes (293 double precision FP elements). The binary loop is storing 256 bytes (32 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.11 FP operations per loaded or stored byte.

General properties

nb instructions	61
nb uops	60
loop length	415
used x86 registers	15
used mmx registers	0
used xmm registers	10
used ymm registers	0
used zmm registers	8
nb stack references	4
ADD-SUB / MUL ratio	1.29

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	7.50 cycles
front end	7.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	0.33	0.33	0.33	0.33	0.33	0.33	11.25	11.25	11.25	11.25	9.00	9.00	4.50	4.50	7.50	7.50
cycles	0.33	0.33	0.33	0.33	0.33	0.33	11.25	11.25	11.25	11.25	9.00	9.00	4.50	4.50	7.50	7.50

Execution ports to units layout:

P0: ALU
P1: ALU
P2: ALU
P3: ALU, BRU
P4: ALU, BRU
P5: ALU, BRU
P6 (512 bits): store address, load
P7 (512 bits): store address, load
P8 (512 bits): store address, load
P9 (512 bits): store address, load
P10 (512 bits): VPU, DIV/SQRT
P11 (512 bits): VPU, DIV/SQRT
P12 (512 bits): VPU
P13 (512 bits): VPU
P14 (512 bits): FP store data
P15 (512 bits): FP store data

Cycles executing div or sqrt instructions	4.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	7.50
Dispatch	11.25
DIV/SQRT	4.00
Data deps.	1.00
Overall L1	11.25

Vectorization ratios

INT

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	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	79%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	0%

Vector efficiency ratios

INT

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

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	82%
load	100%
store	100%
mul	100%
add-sub	100%
fma	100%
div/sqrt	100%
other	12%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.25 cycles. At this rate:

81% of peak load performance is reached (208.36 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
17% of peak store performance is reached (22.76 out of 128.00 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: 4179b0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOV 0x268(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOV 0x270(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VMOVUPD (%R11,%RAX,1),%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R9,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%RSI,%RAX,1),%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM0,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM8,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVQ %XMM13,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%R13,%RAX,1),%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM21,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD231PD (%RSI,%RAX,1),%ZMM6,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVQ %XMM17,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%R13,%RAX,1),%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM18,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMULPD (%RSI,%RAX,1),%ZMM1,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM19,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD (%RSI,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM7,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD231PD (%R13,%RAX,1),%ZMM4,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VADDPD %ZMM6,%ZMM0,%ZMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
MOV 0x278(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VMOVUPD (%RDI,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMULPD %ZMM12,%ZMM0,%ZMM1	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM4,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVQ %XMM14,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VDIVPD %ZMM1,%ZMM15,%ZMM6	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM7,%R13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VFMADD132PD (%RBX,%RAX,1),%ZMM27,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RSI,%RAX,1),%ZMM6,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM0,(%RCX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R13,%RAX,1),%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
MOV 0x278(%RSP),%R13	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
VSUBPD (%R9,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%RDI,%RAX,1),%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VMOVQ %XMM2,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VSUBPD (%R11,%RAX,1),%ZMM1,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R12,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%R10,%RAX,1),%ZMM16,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RSI,%RAX,1),%ZMM6,%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVQ %XMM20,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
VMOVUPD %ZMM4,(%RDX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R8,%RAX,1),%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%R15,%RAX,1),%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R14,%RAX,1),%ZMM0,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R13,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%RBX,%RAX,1),%ZMM27,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RCX,%RAX,1),%ZMM6,%ZMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM1,(%RCX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
VMOVUPD (%R14,%RAX,1),%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%RSI,%RAX,1),%ZMM16,%ZMM27	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMOVUPD (%R15,%RAX,1),%ZMM4	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.50	vect (100.0%)
VSUBPD (%R8,%RAX,1),%ZMM4,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	vect (100.0%)
VMULPD (%R12,%RAX,1),%ZMM27,%ZMM16	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
VFMADD132PD (%R10,%RAX,1),%ZMM16,%ZMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VFNMADD213PD (%RDX,%RAX,1),%ZMM0,%ZMM6	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM6,(%RDX,%RAX,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	4	1	vect (100.0%)
ADD $0x40,%RAX	1	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP %RAX,0x260(%RSP)	1	0.17	0.17	0.17	0.17	0.17	0.17	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.25	N/A
JNE 4179b0 <__accelerate_kernel_module_MOD_accelerate_kernel._omp_fn.0+0x820>	1	0	0	0	0.33	0.33	0.33	0	0	0	0	0	0	0	0	0	0	1	0.50-1	N/A

▶Scalability Runs Description

Run 8x1	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 1I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads
Run 8x8	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 8I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads
Run 8x12	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 12I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads
Run 8x16	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 16I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads
Run 8x20	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 20I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads
Run 8x24	Number processes: 8Number nodes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> Dataset: Run Directory: /home/eoseret/qaas_runs_ZEN5/174-049-0948/intel/CloverLeaf1.3-FC/run/oneview_runs/multicore/gcc_7/oneview_run_1740498538OMP_NUM_THREADS: 24I_MPI_PIN_ORDER: bunchOMP_DISPLAY_AFFINITY: TRUEOMP_PROC_BIND: spreadOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEI_MPI_PIN_DOMAIN: autoI_MPI_DEBUG: 4OMP_PLACES: threads

(8x1) Efficiency	(8x1) Potential Speed-Up (%)	(8x8) Efficiency	(8x8) Potential Speed-Up (%)	(8x12) Efficiency	(8x12) Potential Speed-Up (%)	(8x16) Efficiency	(8x16) Potential Speed-Up (%)	(8x20) Efficiency	(8x20) Potential Speed-Up (%)	(8x24) Efficiency	(8x24) Potential Speed-Up (%)
1	0	0.32	3.35	0.21	4.23	0.16	4.22	0.13	4.25	0.1	4.78

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
8x1	8	1	1	1	4.8650007247925	4.7451987266541
8x8	64	0.32	2.56	8	2.0949997901917	4.9277997016907
8x12	96	0.21	2.47	12	2.0299997329712	5.3208022117615
8x16	128	0.16	2.51	16	2.1450002193451	4.999755859375
8x20	160	0.13	2.5	20	2.2299995422363	4.8590703010559
8x24	192	0.1	2.47	24	2.0799999237061	5.3259687423706

Report Configuration

Code clean check

Workaround

Vectorization

Details

Execution units bottlenecks

Workaround

FMA

Workaround

Vector unaligned load/store instructions

Details

Workaround

Type of elements and instruction set

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

Execution units bottlenecks

Workaround

FMA

Workaround

Vector unaligned load/store instructions

Details

Workaround

Type of elements and instruction set

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