OV - exec - Loop 8

0x203ab0 VMULPD	-0xc0(%R9,%R11,8),%ZMM1,%ZMM2    [1]

0x203ab8 VMULPD	-0x80(%R9,%R11,8),%ZMM1,%ZMM3    [1]

0x203ac0 VMULPD	-0x40(%R9,%R11,8),%ZMM1,%ZMM4    [1]

0x203ac8 VMULPD	(%R9,%R11,8),%ZMM1,%ZMM5    [1]

0x203acf VMOVUPD	%ZMM2,-0xc0(%R10,%R11,8)    [2]

0x203ad7 VMOVUPD	%ZMM3,-0x80(%R10,%R11,8)    [2]

0x203adf VMOVUPD	%ZMM4,-0x40(%R10,%R11,8)    [2]

0x203ae7 VMOVUPD	%ZMM5,(%R10,%R11,8)    [2]

0x203aee ADD	$0x20,%R11

0x203af2 CMP	%R11,%R8

0x203af5 JNE	203ab0

/beegfs/hackathon/users/eoseret/qaas_runs_test/isix02.benchmarkcenter.megware.com/177-373-7005/stream/build/stream/src/stream.c: 332 - 332

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

332: 	    b[j] = scalar*c[j];

Coverage (%)	Name	Source Location	Module
►99.67+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so

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	1.17
Bottlenecks	micro-operation queue,
Function	main.omp_outlined.29
Source	stream.c:332-332
Source loop unroll info	unrolled by 32
Source loop unroll confidence level	max
Unroll/vectorization loop type	main
Unroll factor	32
CQA cycles	2.33
CQA cycles if no scalar integer	2.33
CQA cycles if FP arith vectorized	2.33
CQA cycles if fully vectorized	2.33
Front-end cycles	2.33
P0 cycles	2.00
P1 cycles	2.00
P2 cycles	1.33
P3 cycles	1.33
P4 cycles	2.00
P5 cycles	2.00
P6 cycles	1.00
P7 cycles	2.00
P8 cycles	2.00
P9 cycles	2.00
P10 cycles	0.00
P11 cycles	1.33
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	11.00
Nb uops	10.00
Nb loads	4.00
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	13.71
Nb FLOP add-sub	0.00
Nb FLOP mul	32.00
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	219.43
Bytes prefetched	0.00
Bytes loaded	256.00
Bytes stored	256.00
Stride 0	0.00
Stride 1	2.00
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	100.00
Vectorization ratio add_sub	NA
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	100.00
Vector-efficiency ratio add_sub	NA
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	1.17
Bottlenecks	micro-operation queue,
Function	main.omp_outlined.29
Source	stream.c:332-332
Source loop unroll info	unrolled by 32
Source loop unroll confidence level	max
Unroll/vectorization loop type	main
Unroll factor	32
CQA cycles	2.33
CQA cycles if no scalar integer	2.33
CQA cycles if FP arith vectorized	2.33
CQA cycles if fully vectorized	2.33
Front-end cycles	2.33
P0 cycles	2.00
P1 cycles	2.00
P2 cycles	1.33
P3 cycles	1.33
P4 cycles	2.00
P5 cycles	2.00
P6 cycles	1.00
P7 cycles	2.00
P8 cycles	2.00
P9 cycles	2.00
P10 cycles	0.00
P11 cycles	1.33
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	11.00
Nb uops	10.00
Nb loads	4.00
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	13.71
Nb FLOP add-sub	0.00
Nb FLOP mul	32.00
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	219.43
Bytes prefetched	0.00
Bytes loaded	256.00
Bytes stored	256.00
Stride 0	0.00
Stride 1	2.00
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	100.00
Vectorization ratio add_sub	NA
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	100.00
Vector-efficiency ratio add_sub	NA
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	main.omp_outlined.29
Source file and lines	stream.c:332-332
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs_test/isix02.benchmarkcenter.megware.com/177-373-7005/stream/build/stream/src/stream.c:332.

It is main loop of related source loop which is unrolled by 32 (including vectorization).

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

Found no such bottlenecks but see expert reports for more complex bottlenecks.

No data for this section

Type of elements and instruction set

4 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 32 FP arithmetical operations:

32: multiply

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

Arithmetic intensity

Arithmetic intensity is 0.06 FP operations per loaded or stored byte.

General properties

nb instructions	11
nb uops	10
loop length	71
used x86 registers	4
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	5
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	2.33 cycles
front end	2.33 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	2.00	0.00	1.33	1.33	2.00	2.00	1.00	2.00	2.00	2.00	0.00	1.33
cycles	2.00	2.00	1.33	1.33	2.00	2.00	1.00	2.00	2.00	2.00	0.00	1.33

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

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

Cycles summary

Front-end	2.33
Dispatch	2.00
Data deps.	1.00
Overall L1	2.33

Vectorization ratios

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

57% of peak load performance is reached (109.71 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
85% of peak store performance is reached (109.71 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Performance is limited by instruction throughput (loading/decoding program instructions to execution core) (front-end is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 2.33 to 2.00 cycles (1.17x speedup).

ASM code

In the binary file, the address of the loop is: 203ab0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMULPD -0xc0(%R9,%R11,8),%ZMM1,%ZMM2	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD -0x80(%R9,%R11,8),%ZMM1,%ZMM3	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD -0x40(%R9,%R11,8),%ZMM1,%ZMM4	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD (%R9,%R11,8),%ZMM1,%ZMM5	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMOVUPD %ZMM2,-0xc0(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM3,-0x80(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM4,-0x40(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM5,(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
ADD $0x20,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP %R11,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
JNE 203ab0 <main.omp_outlined.29+0x100>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

Function	main.omp_outlined.29
Source file and lines	stream.c:332-332
Module	exec

The loop is defined in /beegfs/hackathon/users/eoseret/qaas_runs_test/isix02.benchmarkcenter.megware.com/177-373-7005/stream/build/stream/src/stream.c:332.

It is main loop of related source loop which is unrolled by 32 (including vectorization).

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

Found no such bottlenecks but see expert reports for more complex bottlenecks.

No data for this section

Type of elements and instruction set

4 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 32 FP arithmetical operations:

32: multiply

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

Arithmetic intensity

Arithmetic intensity is 0.06 FP operations per loaded or stored byte.

General properties

nb instructions	11
nb uops	10
loop length	71
used x86 registers	4
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	5
nb stack references	0

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	2.33 cycles
front end	2.33 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	2.00	0.00	1.33	1.33	2.00	2.00	1.00	2.00	2.00	2.00	0.00	1.33
cycles	2.00	2.00	1.33	1.33	2.00	2.00	1.00	2.00	2.00	2.00	0.00	1.33

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

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

Cycles summary

Front-end	2.33
Dispatch	2.00
Data deps.	1.00
Overall L1	2.33

Vectorization ratios

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

57% of peak load performance is reached (109.71 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))
85% of peak store performance is reached (109.71 out of 128.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Performance is limited by instruction throughput (loading/decoding program instructions to execution core) (front-end is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 2.33 to 2.00 cycles (1.17x speedup).

ASM code

In the binary file, the address of the loop is: 203ab0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMULPD -0xc0(%R9,%R11,8),%ZMM1,%ZMM2	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD -0x80(%R9,%R11,8),%ZMM1,%ZMM3	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD -0x40(%R9,%R11,8),%ZMM1,%ZMM4	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMULPD (%R9,%R11,8),%ZMM1,%ZMM5	1	0.50	0	0.33	0.33	0	0.50	0	0	0	0	0	0.33	4	0.50	vect (100.0%)
VMOVUPD %ZMM2,-0xc0(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM3,-0x80(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM4,-0x40(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
VMOVUPD %ZMM5,(%R10,%R11,8)	1	0	0	0	0	0.50	0	0	0.50	0.50	0.50	0	0	0-1	1	vect (100.0%)
ADD $0x20,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0.17	N/A
CMP %R11,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
JNE 203ab0 <main.omp_outlined.29+0x100>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

Report Configuration

Vectorization

Details

Execution units bottlenecks

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

Vectorization

Details

Execution units bottlenecks

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