OV - - Loop 180

	Loop Id: 180	Module: exec	Source: advec_mom.cpp:56-57	Coverage: 1.72%

0x42d160 VMOVUPD	(%R11,%RAX,1),%ZMM7    [3]

0x42d167 VADDPD	(%RSI,%RAX,1),%ZMM7,%ZMM0    [6]

0x42d16e VSUBPD	(%RDI,%RAX,1),%ZMM0,%ZMM4    [2]

0x42d175 VMOVUPD	%ZMM4,(%R13,%RAX,1)    [4]

0x42d17d VMOVUPD	(%RBX,%RAX,1),%ZMM2    [5]

0x42d184 VSUBPD	(%R10,%RAX,1),%ZMM2,%ZMM5    [1]

0x42d18b VADDPD	%ZMM4,%ZMM5,%ZMM6

0x42d191 VMOVUPD	%ZMM6,(%RDX,%RAX,1)    [7]

0x42d198 VMOVUPD	0x40(%R11,%RAX,1),%ZMM8    [3]

0x42d1a0 VADDPD	0x40(%RSI,%RAX,1),%ZMM8,%ZMM14    [6]

0x42d1a8 VSUBPD	0x40(%RDI,%RAX,1),%ZMM14,%ZMM15    [2]

0x42d1b0 VMOVUPD	%ZMM15,0x40(%R13,%RAX,1)    [4]

0x42d1b8 VMOVUPD	0x40(%RBX,%RAX,1),%ZMM7    [5]

0x42d1c0 VSUBPD	0x40(%R10,%RAX,1),%ZMM7,%ZMM0    [1]

0x42d1c8 VADDPD	%ZMM15,%ZMM0,%ZMM4

0x42d1ce VMOVUPD	%ZMM4,0x40(%RDX,%RAX,1)    [7]

0x42d1d6 VMOVUPD	0x80(%R11,%RAX,1),%ZMM2    [3]

0x42d1de VADDPD	0x80(%RSI,%RAX,1),%ZMM2,%ZMM5    [6]

0x42d1e6 VSUBPD	0x80(%RDI,%RAX,1),%ZMM5,%ZMM6    [2]

0x42d1ee VMOVUPD	%ZMM6,0x80(%R13,%RAX,1)    [4]

0x42d1f6 VMOVUPD	0x80(%RBX,%RAX,1),%ZMM8    [5]

0x42d1fe VSUBPD	0x80(%R10,%RAX,1),%ZMM8,%ZMM14    [1]

0x42d206 VADDPD	%ZMM6,%ZMM14,%ZMM15

0x42d20c VMOVUPD	%ZMM15,0x80(%RDX,%RAX,1)    [7]

0x42d214 VMOVUPD	0xc0(%R11,%RAX,1),%ZMM7    [3]

0x42d21c VADDPD	0xc0(%RSI,%RAX,1),%ZMM7,%ZMM0    [6]

0x42d224 VSUBPD	0xc0(%RDI,%RAX,1),%ZMM0,%ZMM4    [2]

0x42d22c VMOVUPD	%ZMM4,0xc0(%R13,%RAX,1)    [4]

0x42d234 VMOVUPD	0xc0(%RBX,%RAX,1),%ZMM2    [5]

0x42d23c VSUBPD	0xc0(%R10,%RAX,1),%ZMM2,%ZMM5    [1]

0x42d244 VADDPD	%ZMM4,%ZMM5,%ZMM6

0x42d24a VMOVUPD	%ZMM6,0xc0(%RDX,%RAX,1)    [7]

0x42d252 ADD	$0x100,%RAX

0x42d258 CMP	%RAX,%R15

0x42d25b JNE	42d160

/beegfs/hackathon/users/eoseret/qaas_runs/170-854-8685/intel/CloverLeafCXX/build/CloverLeafCXX/src/omp/advec_mom.cpp: 56 - 57

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

56:         post_vol(i, j) = volume(i, j) + vol_flux_x(i + 1, j + 0) - vol_flux_x(i, j);

57:         pre_vol(i, j) = post_vol(i, j) + vol_flux_y(i + 0, j + 1) - vol_flux_y(i, j);

Path /

Metric	Value
CQA speedup if no scalar integer	1.00
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	2.00
Bottlenecks	P5, P6, P7, P10, P11,
Function	_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1
Source	advec_mom.cpp:56-57
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	16.00
CQA cycles if no scalar integer	16.00
CQA cycles if FP arith vectorized	16.00
CQA cycles if fully vectorized	16.00
Front-end cycles	7.00
DIV/SQRT cycles	0.50
P0 cycles	0.50
P1 cycles	0.25
P2 cycles	0.25
P3 cycles	0.50
P4 cycles	16.00
P5 cycles	16.00
P6 cycles	16.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	16.00
P10 cycles	16.00
P11 cycles	8.00
P12 cycles	8.00
P13 cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	35.00
Nb uops	42.00
Nb loads	20.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	8.00
Nb FLOP add-sub	128.00
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	112.00
Bytes prefetched	0.00
Bytes loaded	1280.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	7.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	100.00
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	NA

Metric	Value
CQA speedup if no scalar integer	1.00
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	2.00
Bottlenecks	P5, P6, P7, P10, P11,
Function	_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1
Source	advec_mom.cpp:56-57
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	16.00
CQA cycles if no scalar integer	16.00
CQA cycles if FP arith vectorized	16.00
CQA cycles if fully vectorized	16.00
Front-end cycles	7.00
DIV/SQRT cycles	0.50
P0 cycles	0.50
P1 cycles	0.25
P2 cycles	0.25
P3 cycles	0.50
P4 cycles	16.00
P5 cycles	16.00
P6 cycles	16.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	16.00
P10 cycles	16.00
P11 cycles	8.00
P12 cycles	8.00
P13 cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	35.00
Nb uops	42.00
Nb loads	20.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	8.00
Nb FLOP add-sub	128.00
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	112.00
Bytes prefetched	0.00
Bytes loaded	1280.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	7.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	NA
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	NA
Vector-efficiency ratio all	100.00
Vector-efficiency ratio load	100.00
Vector-efficiency ratio store	100.00
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	100.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	NA

Path /

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

Function	_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1
Source file and lines	advec_mom.cpp:56-57
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs/170-854-8685/intel/CloverLeafCXX/build/CloverLeafCXX/src/omp/advec_mom.cpp:56-57.

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

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

All SSE/AVX instructions are used in vector version (process two or more data elements in vector registers).

Execution units bottlenecks

Performance is limited by:

execution of FP add operations (the FP add unit is a bottleneck)
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 16.00 to 8.00 cycles (2.00x speedup).

Workaround

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

No data for this section

Complex instructions

Detected COMPLEX INSTRUCTIONS.

Details

These instructions generate more than one micro-operation and only one of them can be decoded during a cycle and the extra micro-operations increase pressure on execution units.

VMOVUPD: 8 occurrences

Type of elements and instruction set

16 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 128 FP arithmetical operations:

128: addition or subtraction

The binary loop is loading 1280 bytes (160 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.07 FP operations per loaded or stored byte.

Unroll opportunity

Loop is potentially data access bound.

Workaround

Unroll your loop if trip count is significantly higher than target unroll factor and if some data references are common to consecutive iterations. This can be done manually. Or by recompiling with -funroll-loops and/or -floop-unroll-and-jam. Or with the unroll (resp. unroll_and_jam) directive on top of the inner (resp. surrounding) loop. You can enforce an unroll factor: #pragma GCC unroll N

General properties

nb instructions	35
nb uops	42
loop length	257
used x86 registers	9
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	9
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	7.00 cycles
front end	7.00 cycles

Back-end

	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5
uops	0.50	0.50	0.25	0.25	0.50	9.33	9.33	9.33	0.00	0.00	8.00	8.00	8.00	8.00
cycles	0.50	0.50	0.25	0.25	0.50	16.00	16.00	16.00	0.00	0.00	16.00	16.00	8.00	8.00

Execution ports to units layout:

ALU0/BRU0: ALU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1:
AGU0 (256 bits): store address, load
AGU1 (256 bits): store address, load
AGU2 (256 bits): store address, load
FP0 (256 bits): VPU, DIV/SQRT
FP1 (256 bits): VPU, DIV/SQRT
FP2 (256 bits): VPU
FP3 (256 bits): VPU
FP4 (256 bits): FP store data
FP5 (256 bits): FP store data

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

Cycles summary

Front-end	7.00
Dispatch	16.00
Data deps.	1.00
Overall L1	16.00

Vectorization ratios

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

Vector efficiency ratios

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 16.00 cycles. At this rate:

83% of peak load performance is reached (80.00 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
50% of peak store performance is reached (32.00 out of 64.00 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: 42d160

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP2	FP3	FP4	FP5	Latency	Recip. throughput
VMOVUPD (%R11,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD (%RSI,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD (%RDI,%RAX,1),%ZMM0,%ZMM4	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD (%RBX,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD (%R10,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM4,%ZMM5,%ZMM6	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x40(%R11,%RAX,1),%ZMM8	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0x40(%RSI,%RAX,1),%ZMM8,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0x40(%RDI,%RAX,1),%ZMM14,%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM15,0x40(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x40(%RBX,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0x40(%R10,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM15,%ZMM0,%ZMM4	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,0x40(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x80(%R11,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0x80(%RSI,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0x80(%RDI,%RAX,1),%ZMM5,%ZMM6	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,0x80(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x80(%RBX,%RAX,1),%ZMM8	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0x80(%R10,%RAX,1),%ZMM8,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM6,%ZMM14,%ZMM15	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM15,0x80(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0xc0(%R11,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0xc0(%RSI,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0xc0(%RDI,%RAX,1),%ZMM0,%ZMM4	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,0xc0(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0xc0(%RBX,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0xc0(%R10,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM4,%ZMM5,%ZMM6	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,0xc0(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
ADD $0x100,%RAX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25
CMP %RAX,%R15	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25
JNE 42d160 <_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1+0x2c0>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	1	0.50-1

Function	_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1
Source file and lines	advec_mom.cpp:56-57
Module	exec

gain
potential
hint
expert

Vectorization

Your loop is fully vectorized, using full register length.

Details

All SSE/AVX instructions are used in vector version (process two or more data elements in vector registers).

Execution units bottlenecks

Performance is limited by:

execution of FP add operations (the FP add unit is a bottleneck)
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 16.00 to 8.00 cycles (2.00x speedup).

Workaround

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

No data for this section

Complex instructions

Detected COMPLEX INSTRUCTIONS.

Details

These instructions generate more than one micro-operation and only one of them can be decoded during a cycle and the extra micro-operations increase pressure on execution units.

VMOVUPD: 8 occurrences

Type of elements and instruction set

16 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 128 FP arithmetical operations:

128: addition or subtraction

The binary loop is loading 1280 bytes (160 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.07 FP operations per loaded or stored byte.

Unroll opportunity

Loop is potentially data access bound.

Workaround

General properties

nb instructions	35
nb uops	42
loop length	257
used x86 registers	9
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	9
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	7.00 cycles
front end	7.00 cycles

Back-end

	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP2	FP3	FP4	FP5
uops	0.50	0.50	0.25	0.25	0.50	9.33	9.33	9.33	0.00	0.00	8.00	8.00	8.00	8.00
cycles	0.50	0.50	0.25	0.25	0.50	16.00	16.00	16.00	0.00	0.00	16.00	16.00	8.00	8.00

Execution ports to units layout:

ALU0/BRU0: ALU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1:
AGU0 (256 bits): store address, load
AGU1 (256 bits): store address, load
AGU2 (256 bits): store address, load
FP0 (256 bits): VPU, DIV/SQRT
FP1 (256 bits): VPU, DIV/SQRT
FP2 (256 bits): VPU
FP3 (256 bits): VPU
FP4 (256 bits): FP store data
FP5 (256 bits): FP store data

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

Cycles summary

Front-end	7.00
Dispatch	16.00
Data deps.	1.00
Overall L1	16.00

Vectorization ratios

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

Vector efficiency ratios

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 16.00 cycles. At this rate:

83% of peak load performance is reached (80.00 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
50% of peak store performance is reached (32.00 out of 64.00 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: 42d160

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP2	FP3	FP4	FP5	Latency	Recip. throughput
VMOVUPD (%R11,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD (%RSI,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD (%RDI,%RAX,1),%ZMM0,%ZMM4	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD (%RBX,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD (%R10,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM4,%ZMM5,%ZMM6	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x40(%R11,%RAX,1),%ZMM8	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0x40(%RSI,%RAX,1),%ZMM8,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0x40(%RDI,%RAX,1),%ZMM14,%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM15,0x40(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x40(%RBX,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0x40(%R10,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM15,%ZMM0,%ZMM4	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,0x40(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x80(%R11,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0x80(%RSI,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0x80(%RDI,%RAX,1),%ZMM5,%ZMM6	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,0x80(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0x80(%RBX,%RAX,1),%ZMM8	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0x80(%R10,%RAX,1),%ZMM8,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM6,%ZMM14,%ZMM15	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM15,0x80(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0xc0(%R11,%RAX,1),%ZMM7	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VADDPD 0xc0(%RSI,%RAX,1),%ZMM7,%ZMM0	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VSUBPD 0xc0(%RDI,%RAX,1),%ZMM0,%ZMM4	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VMOVUPD %ZMM4,0xc0(%R13,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
VMOVUPD 0xc0(%RBX,%RAX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1
VSUBPD 0xc0(%R10,%RAX,1),%ZMM2,%ZMM5	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	3	1
VADDPD %ZMM4,%ZMM5,%ZMM6	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	1
VMOVUPD %ZMM6,0xc0(%RDX,%RAX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2
ADD $0x100,%RAX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25
CMP %RAX,%R15	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25
JNE 42d160 <_Z16advec_mom_kerneliiiiRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_RNS_8Buffer1DIdEES5_iii._omp_fn.1+0x2c0>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	1	0.50-1

▶Scalability Runs Description

Run 2x1	Number processes: 2Number nodes: 1Number processes per node: 2Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /beegfs/hackathon/users/eoseret/qaas_runs/170-854-8685/intel/CloverLeafCXX/run/oneview_runs/compilers/gcc_6/oneview_run_1708556066OMP_NUM_THREADS: 1
Run 2x2	OMP_NUM_THREADS: 2
Run 2x4	OMP_NUM_THREADS: 4
Run 2x8	OMP_NUM_THREADS: 8
Run 2x16	OMP_NUM_THREADS: 16
Run 2x32	OMP_NUM_THREADS: 32
Run 2x64	OMP_NUM_THREADS: 64
Run 2x96	OMP_NUM_THREADS: 96

(2x1) Efficiency	(2x1) Potential Speed-Up (%)	(2x2) Efficiency	(2x2) Potential Speed-Up (%)	(2x4) Efficiency	(2x4) Potential Speed-Up (%)	(2x8) Efficiency	(2x8) Potential Speed-Up (%)	(2x16) Efficiency	(2x16) Potential Speed-Up (%)	(2x32) Efficiency	(2x32) Potential Speed-Up (%)	(2x64) Efficiency	(2x64) Potential Speed-Up (%)	(2x96) Efficiency	(2x96) Potential Speed-Up (%)
1	0	0.78	0.44	0.61	0.84	0.27	1.78	0.22	2.12	0.08	2.58	0.05	2.71	0.03	2.45

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
2x1	2	1	1	1	10.79	1.72
2x2	4	0.78	1.56	2	6.94	2
2x4	8	0.61	2.44	4	4.74	2.15
2x8	16	0.27	2.17	8	5.84	2.45
2x16	32	0.22	3.56	16	3.17	2.72
2x32	64	0.08	2.46	32	4.77	2.79
2x64	128	0.05	3.03	64	3.78	2.84
2x96	192	0.03	3.2	96	3.12	2.53

Report Configuration

Vectorization

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Execution units bottlenecks

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Complex instructions

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Type of elements and instruction set

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

Arithmetic intensity

Unroll opportunity

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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

Execution units bottlenecks

Workaround

Complex instructions

Details

Type of elements and instruction set

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

Arithmetic intensity

Unroll opportunity

Workaround

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

▼Colums Filter

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency