OV - exec - Loop 2

	Loop Id: 2	Module: exec	Source: stream.c:356-356	Coverage: 27.58%

0x402349 VMOVUPD	(%R8,%RCX,1),%ZMM9    [1]

0x402350 VFMADD213PD	(%RDI,%RCX,1),%ZMM0,%ZMM9    [2]

0x402357 VMOVUPD	%ZMM9,(%RSI,%RCX,1)    [3]

0x40235e VMOVUPD	0x40(%R8,%RCX,1),%ZMM10    [1]

0x402366 VFMADD213PD	0x40(%RDI,%RCX,1),%ZMM0,%ZMM10    [2]

0x40236e VMOVUPD	%ZMM10,0x40(%RSI,%RCX,1)    [3]

0x402376 VMOVUPD	0x80(%R8,%RCX,1),%ZMM11    [1]

0x40237e VFMADD213PD	0x80(%RDI,%RCX,1),%ZMM0,%ZMM11    [2]

0x402386 VMOVUPD	%ZMM11,0x80(%RSI,%RCX,1)    [3]

0x40238e VMOVUPD	0xc0(%R8,%RCX,1),%ZMM12    [1]

0x402396 VFMADD213PD	0xc0(%RDI,%RCX,1),%ZMM0,%ZMM12    [2]

0x40239e VMOVUPD	%ZMM12,0xc0(%RSI,%RCX,1)    [3]

0x4023a6 VMOVUPD	0x100(%R8,%RCX,1),%ZMM13    [1]

0x4023ae VFMADD213PD	0x100(%RDI,%RCX,1),%ZMM0,%ZMM13    [2]

0x4023b6 VMOVUPD	%ZMM13,0x100(%RSI,%RCX,1)    [3]

0x4023be VMOVUPD	0x140(%R8,%RCX,1),%ZMM14    [1]

0x4023c6 VFMADD213PD	0x140(%RDI,%RCX,1),%ZMM0,%ZMM14    [2]

0x4023ce VMOVUPD	%ZMM14,0x140(%RSI,%RCX,1)    [3]

0x4023d6 VMOVUPD	0x180(%R8,%RCX,1),%ZMM15    [1]

0x4023de VFMADD213PD	0x180(%RDI,%RCX,1),%ZMM0,%ZMM15    [2]

0x4023e6 VMOVUPD	%ZMM15,0x180(%RSI,%RCX,1)    [3]

0x4023ee VMOVUPD	0x1c0(%R8,%RCX,1),%ZMM2    [1]

0x4023f6 VFMADD213PD	0x1c0(%RDI,%RCX,1),%ZMM0,%ZMM2    [2]

0x4023fe VMOVUPD	%ZMM2,0x1c0(%RSI,%RCX,1)    [3]

0x402406 ADD	$0x200,%RCX

0x40240d CMP	%R11,%RCX

0x402410 JNE	402349

/beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c: 356 - 356

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

356: 	    a[j] = b[j]+scalar*c[j];

Coverage (%)	Name	Source Location	Module
○98.94	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○1.06	GOMP_parallel	libgomp.h:982	libgomp.so.1.0.0

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	1.00
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	1.67
Bottlenecks	P5, P6, P7,
Function	main._omp_fn.7
Source	stream.c:356-356
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	13.33
CQA cycles if no scalar integer	13.33
CQA cycles if FP arith vectorized	13.33
CQA cycles if fully vectorized	13.33
Front-end cycles	5.67
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.25
P3 cycles	0.25
P4 cycles	0.50
P5 cycles	13.33
P6 cycles	13.33
P7 cycles	13.33
P8 cycles	8.00
P9 cycles	8.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	8.00
P13 cycles	8.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	27.00
Nb uops	34.00
Nb loads	16.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	9.60
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	64.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	115.20
Bytes prefetched	0.00
Bytes loaded	1024.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	3.00
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	NA
Vectorization ratio fma	100.00
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	NA
Vector-efficiency ratio fma	100.00
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	1.67
Bottlenecks	P5, P6, P7,
Function	main._omp_fn.7
Source	stream.c:356-356
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	13.33
CQA cycles if no scalar integer	13.33
CQA cycles if FP arith vectorized	13.33
CQA cycles if fully vectorized	13.33
Front-end cycles	5.67
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.25
P3 cycles	0.25
P4 cycles	0.50
P5 cycles	13.33
P6 cycles	13.33
P7 cycles	13.33
P8 cycles	8.00
P9 cycles	8.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	8.00
P13 cycles	8.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	27.00
Nb uops	34.00
Nb loads	16.00
Nb stores	8.00
Nb stack references	0.00
FLOP/cycle	9.60
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	64.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	115.20
Bytes prefetched	0.00
Bytes loaded	1024.00
Bytes stored	512.00
Stride 0	0.00
Stride 1	3.00
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	NA
Vectorization ratio fma	100.00
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	NA
Vector-efficiency ratio fma	100.00
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	main._omp_fn.7
Source file and lines	stream.c:356-356
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356.

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:

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 13.33 to 8.00 cycles (1.67x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

FMA

Detected 64 FMA (fused multiply-add) operations.

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►
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356

Type of elements and instruction set

8 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:

64: addition or subtraction (all inside FMA instructions)
64: multiply (all inside FMA instructions)

The binary loop is loading 1024 bytes (128 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.08 FP operations per loaded or stored byte.

Unroll opportunity

Loop is 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	27
nb uops	34
loop length	205
used x86 registers	5
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	5.67 cycles
front end	5.67 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	8.00	8.00	8.00	4.00	4.00	0.00	0.00	8.00	8.00
cycles	0.50	0.50	0.25	0.25	0.50	13.33	13.33	13.33	8.00	8.00	0.00	0.00	8.00	8.00

Execution ports to units layout:

ALU0/BRU0: ALU, BRU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1: BRU
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	5.67
Dispatch	13.33
Data deps.	1.00
Overall L1	13.33

Vectorization ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	100%
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	NA (no add-sub vectorizable/vectorized instructions)
fma	100%
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 13.33 cycles. At this rate:

80% of peak load performance is reached (76.80 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
60% of peak store performance is reached (38.40 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: 402349

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP4	FP5	Latency	Recip. throughput	Vectorization
VMOVUPD (%R8,%RCX,1),%ZMM9	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD (%RDI,%RCX,1),%ZMM0,%ZMM9	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM9,(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x40(%R8,%RCX,1),%ZMM10	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x40(%RDI,%RCX,1),%ZMM0,%ZMM10	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM10,0x40(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x80(%R8,%RCX,1),%ZMM11	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x80(%RDI,%RCX,1),%ZMM0,%ZMM11	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM11,0x80(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0xc0(%R8,%RCX,1),%ZMM12	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0xc0(%RDI,%RCX,1),%ZMM0,%ZMM12	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM12,0xc0(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x100(%R8,%RCX,1),%ZMM13	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x100(%RDI,%RCX,1),%ZMM0,%ZMM13	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM13,0x100(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x140(%R8,%RCX,1),%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x140(%RDI,%RCX,1),%ZMM0,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM14,0x140(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x180(%R8,%RCX,1),%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x180(%RDI,%RCX,1),%ZMM0,%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM15,0x180(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x1c0(%R8,%RCX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x1c0(%RDI,%RCX,1),%ZMM0,%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM2,0x1c0(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
ADD $0x200,%RCX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP %R11,%RCX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25	N/A
JNE 402349 <main._omp_fn.7+0x1a9>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	1	0.50-1	N/A

Function	main._omp_fn.7
Source file and lines	stream.c:356-356
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:

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 13.33 to 8.00 cycles (1.67x speedup).

Workaround

Read less array elements
Write less array elements
Provide more information to your compiler:
- hardcode the bounds of the corresponding 'for' loop
- use the 'restrict' C99 keyword

FMA

Detected 64 FMA (fused multiply-add) operations.

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►
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356
- /beegfs/hackathon/users/eoseret/qaas_runs_test/gmz16.benchmarkcenter.megware.com/177-374-0958/stream/build/stream/src/stream.c:356

Type of elements and instruction set

8 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:

64: addition or subtraction (all inside FMA instructions)
64: multiply (all inside FMA instructions)

The binary loop is loading 1024 bytes (128 double precision FP elements). The binary loop is storing 512 bytes (64 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.08 FP operations per loaded or stored byte.

Unroll opportunity

Loop is data access bound.

Workaround

General properties

nb instructions	27
nb uops	34
loop length	205
used x86 registers	5
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	5.67 cycles
front end	5.67 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	8.00	8.00	8.00	4.00	4.00	0.00	0.00	8.00	8.00
cycles	0.50	0.50	0.25	0.25	0.50	13.33	13.33	13.33	8.00	8.00	0.00	0.00	8.00	8.00

Execution ports to units layout:

ALU0/BRU0: ALU, BRU
ALU1: ALU
ALU2: ALU
ALU3: ALU
BRU1: BRU
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	5.67
Dispatch	13.33
Data deps.	1.00
Overall L1	13.33

Vectorization ratios

all	100%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	100%
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	NA (no add-sub vectorizable/vectorized instructions)
fma	100%
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 13.33 cycles. At this rate:

80% of peak load performance is reached (76.80 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
60% of peak store performance is reached (38.40 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: 402349

Instruction	Nb FU	ALU0/BRU0	ALU1	ALU2	ALU3	BRU1	AGU0	AGU1	AGU2	FP0	FP1	FP4	FP5	Latency	Recip. throughput	Vectorization
VMOVUPD (%R8,%RCX,1),%ZMM9	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD (%RDI,%RCX,1),%ZMM0,%ZMM9	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM9,(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x40(%R8,%RCX,1),%ZMM10	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x40(%RDI,%RCX,1),%ZMM0,%ZMM10	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM10,0x40(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x80(%R8,%RCX,1),%ZMM11	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x80(%RDI,%RCX,1),%ZMM0,%ZMM11	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM11,0x80(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0xc0(%R8,%RCX,1),%ZMM12	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0xc0(%RDI,%RCX,1),%ZMM0,%ZMM12	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM12,0xc0(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x100(%R8,%RCX,1),%ZMM13	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x100(%RDI,%RCX,1),%ZMM0,%ZMM13	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM13,0x100(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x140(%R8,%RCX,1),%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x140(%RDI,%RCX,1),%ZMM0,%ZMM14	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM14,0x140(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x180(%R8,%RCX,1),%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x180(%RDI,%RCX,1),%ZMM0,%ZMM15	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM15,0x180(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
VMOVUPD 0x1c0(%R8,%RCX,1),%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0	0	0	0	3	1	vect (100.0%)
VFMADD213PD 0x1c0(%RDI,%RCX,1),%ZMM0,%ZMM2	1	0	0	0	0	0	0.33	0.33	0.33	0.50	0.50	0	0	4	1	vect (100.0%)
VMOVUPD %ZMM2,0x1c0(%RSI,%RCX,1)	2	0	0	0	0	0	0.33	0.33	0.33	0	0	1	1	5	2	vect (100.0%)
ADD $0x200,%RCX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25	N/A
CMP %R11,%RCX	1	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	1	0.25	N/A
JNE 402349 <main._omp_fn.7+0x1a9>	1	0.50	0	0	0	0.50	0	0	0	0	0	0	0	1	0.50-1	N/A

Report Configuration

Vectorization

Details

Execution units bottlenecks

Workaround

FMA

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

Vectorization

Details

Execution units bottlenecks

Workaround

FMA

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