OV - exec - Loop 961

	Loop Id: 961	Module: exec	Source: :0-0	Coverage: 25.80%

0x4878d0 VMULPD	(%R8,%RCX,1),%ZMM5,%ZMM8    [7]

0x4878d7 VMULPD	(%R14,%RCX,1),%ZMM3,%ZMM27    [2]

0x4878de VMULPD	(%RSI,%RCX,1),%ZMM5,%ZMM25    [3]

0x4878e5 VMULPD	(%RBX,%RCX,1),%ZMM3,%ZMM1    [4]

0x4878ec VFMADD231PD	(%RAX,%RCX,1),%ZMM6,%ZMM8    [10]

0x4878f3 VFMADD231PD	(%RDI,%RCX,1),%ZMM4,%ZMM27    [6]

0x4878fa VADDPD	%ZMM27,%ZMM8,%ZMM10

0x487900 VMULPD	0x40(%R14,%RCX,1),%ZMM3,%ZMM29    [2]

0x487908 VFMADD231PD	(%R13,%RCX,1),%ZMM4,%ZMM1    [8]

0x487910 VFMADD231PD	(%RDX,%RCX,1),%ZMM6,%ZMM25    [11]

0x487917 VADDPD	%ZMM1,%ZMM25,%ZMM26

0x48791d VFMADD213PD	(%R12,%RCX,1),%ZMM9,%ZMM26    [5]

0x487924 VFMADD132PD	%ZMM7,%ZMM26,%ZMM10

0x48792a VMULPD	0x40(%RCX,%R8,1),%ZMM5,%ZMM8    [1]

0x487932 VMULPD	0x40(%RSI,%RCX,1),%ZMM5,%ZMM0    [3]

0x48793a VFMADD231PD	0x40(%RDI,%RCX,1),%ZMM4,%ZMM29    [6]

0x487942 VMULPD	0x40(%RBX,%RCX,1),%ZMM3,%ZMM28    [4]

0x48794a VFMADD231PD	0x40(%RAX,%RCX,1),%ZMM6,%ZMM8    [10]

0x487952 VFMADD231PD	0x40(%RDX,%RCX,1),%ZMM6,%ZMM0    [11]

0x48795a VFMADD231PD	0x40(%R13,%RCX,1),%ZMM4,%ZMM28    [8]

0x487962 VADDPD	%ZMM28,%ZMM0,%ZMM1

0x487968 VFMADD213PD	0x40(%R12,%RCX,1),%ZMM9,%ZMM1    [5]

0x487970 VMOVUPD	%ZMM10,(%R12,%RCX,1)    [5]

0x487977 VADDPD	%ZMM29,%ZMM8,%ZMM10

0x48797d VFMADD132PD	%ZMM7,%ZMM1,%ZMM10

0x487983 VMOVUPD	%ZMM10,0x40(%R12,%RCX,1)    [5]

0x48798b SUB	$-0x80,%RCX

0x48798f CMP	%RCX,0xb8(%RSP)    [9]

0x487997 JNE	4878d0

  ***  This Panel is Intentionally Left Blank.  ***

It is due to a lack of debug symbols in the given object
(loop or function).

Coverage (%)	Name	Source Location	Module
►49.34+	miniqmcreference::DiracDetermi[...]		exec
○	qmcplusplus::WaveFunction::eva[...]		exec
○	main._omp_fn.1		exec
○	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6
►47.27+	miniqmcreference::DiracDetermi[...]		exec
○	qmcplusplus::WaveFunction::eva[...]		exec
○	main._omp_fn.1		exec
○	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	start_thread		libc.so.6
○	__GI___clone3		libc.so.6

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	1.90
Bottlenecks	P10, P11,
Function	miniqmcreference::einspline_spo_ref::evaluate(qmcplusplus::ParticleSet const&, int, qmcplusplus::Vector >&)
Source
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	10.00
CQA cycles if no scalar integer	10.00
CQA cycles if FP arith vectorized	10.00
CQA cycles if fully vectorized	10.00
Front-end cycles	3.50
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	5.25
P7 cycles	5.25
P8 cycles	5.25
P9 cycles	5.25
P10 cycles	10.00
P11 cycles	10.00
P12 cycles	2.00
P13 cycles	2.00
P14 cycles	1.00
P15 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	29.00
Nb uops	28.00
Nb loads	19.00
Nb stores	2.00
Nb stack references	1.00
FLOP/cycle	28.80
Nb FLOP add-sub	32.00
Nb FLOP mul	64.00
Nb FLOP fma	96.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	128.80
Bytes prefetched	0.00
Bytes loaded	1160.00
Bytes stored	128.00
Stride 0	1.00
Stride 1	8.00
Stride n	2.00
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	100.00
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	100.00
Vector-efficiency ratio add_sub	100.00
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	1.90
Bottlenecks	P10, P11,
Function	miniqmcreference::einspline_spo_ref::evaluate(qmcplusplus::ParticleSet const&, int, qmcplusplus::Vector >&)
Source
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	10.00
CQA cycles if no scalar integer	10.00
CQA cycles if FP arith vectorized	10.00
CQA cycles if fully vectorized	10.00
Front-end cycles	3.50
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	5.25
P7 cycles	5.25
P8 cycles	5.25
P9 cycles	5.25
P10 cycles	10.00
P11 cycles	10.00
P12 cycles	2.00
P13 cycles	2.00
P14 cycles	1.00
P15 cycles	1.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	29.00
Nb uops	28.00
Nb loads	19.00
Nb stores	2.00
Nb stack references	1.00
FLOP/cycle	28.80
Nb FLOP add-sub	32.00
Nb FLOP mul	64.00
Nb FLOP fma	96.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	128.80
Bytes prefetched	0.00
Bytes loaded	1160.00
Bytes stored	128.00
Stride 0	1.00
Stride 1	8.00
Stride n	2.00
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	100.00
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	100.00
Vector-efficiency ratio add_sub	100.00
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	miniqmcreference::einspline_spo_ref::evaluate(qmcplusplus::ParticleSet const&, int, qmcplusplus::Vector >&)
Source file and lines
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 multiply or FMA (fused multiply-add) operations (the FP multiply/FMA unit is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 10.00 to 5.25 cycles (1.90x speedup).

Workaround

Reduce the number of FP multiply/FMA instructions

FMA

Detected 96 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).

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant non-unit stride: 2 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vector unaligned load/store instructions

Detected 2 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 2 occurrences►

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries
inform your compiler that your arrays are vector aligned: read your compiler manual.

Type of elements and instruction set

24 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 288 FP arithmetical operations:

128: addition or subtraction (96 inside FMA instructions)
160: multiply (96 inside FMA instructions)

The binary loop is loading 1160 bytes (145 double precision FP elements). The binary loop is storing 128 bytes (16 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.22 FP operations per loaded or stored byte.

General properties

nb instructions	29
nb uops	28
loop length	205
used x86 registers	11
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	15
nb stack references	1
ADD-SUB / MUL ratio	0.50

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	3.50 cycles
front end	3.50 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	5.25	5.25	5.25	5.25	10.00	10.00	2.00	2.00	1.00	1.00
cycles	0.33	0.33	0.33	0.33	0.33	0.33	5.25	5.25	5.25	5.25	10.00	10.00	2.00	2.00	1.00	1.00

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	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	3.50
Dispatch	10.00
Data deps.	1.00
Overall L1	10.00

Vectorization ratios

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
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	100%
add-sub	100%
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 10.00 cycles. At this rate:

45% of peak load performance is reached (116.00 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
10% of peak store performance is reached (12.80 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: 4878d0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
VMULPD (%R8,%RCX,1),%ZMM5,%ZMM8	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%)
VMULPD (%R14,%RCX,1),%ZMM3,%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%)
VMULPD (%RSI,%RCX,1),%ZMM5,%ZMM25	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%)
VMULPD (%RBX,%RCX,1),%ZMM3,%ZMM1	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%)
VFMADD231PD (%RAX,%RCX,1),%ZMM6,%ZMM8	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%)
VFMADD231PD (%RDI,%RCX,1),%ZMM4,%ZMM27	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 %ZMM27,%ZMM8,%ZMM10	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%)
VMULPD 0x40(%R14,%RCX,1),%ZMM3,%ZMM29	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%)
VFMADD231PD (%R13,%RCX,1),%ZMM4,%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%)
VFMADD231PD (%RDX,%RCX,1),%ZMM6,%ZMM25	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 %ZMM1,%ZMM25,%ZMM26	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%)
VFMADD213PD (%R12,%RCX,1),%ZMM9,%ZMM26	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%)
VFMADD132PD %ZMM7,%ZMM26,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMULPD 0x40(%RCX,%R8,1),%ZMM5,%ZMM8	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%)
VMULPD 0x40(%RSI,%RCX,1),%ZMM5,%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%)
VFMADD231PD 0x40(%RDI,%RCX,1),%ZMM4,%ZMM29	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%)
VMULPD 0x40(%RBX,%RCX,1),%ZMM3,%ZMM28	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%)
VFMADD231PD 0x40(%RAX,%RCX,1),%ZMM6,%ZMM8	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%)
VFMADD231PD 0x40(%RDX,%RCX,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%)
VFMADD231PD 0x40(%R13,%RCX,1),%ZMM4,%ZMM28	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 %ZMM28,%ZMM0,%ZMM1	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%)
VFMADD213PD 0x40(%R12,%RCX,1),%ZMM9,%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 %ZMM10,(%R12,%RCX,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%)
VADDPD %ZMM29,%ZMM8,%ZMM10	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%)
VFMADD132PD %ZMM7,%ZMM1,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM10,0x40(%R12,%RCX,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%)
SUB $-0x80,%RCX	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 %RCX,0xb8(%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 4878d0 <_ZN16miniqmcreference17einspline_spo_refIdE8evaluateERKN11qmcplusplus11ParticleSetEiRNS2_6VectorIdSaIdEEE+0x610>	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	miniqmcreference::einspline_spo_ref::evaluate(qmcplusplus::ParticleSet const&, int, qmcplusplus::Vector >&)
Source file and lines
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

Workaround

Reduce the number of FP multiply/FMA instructions

FMA

Detected 96 FMA (fused multiply-add) operations. Presence of both ADD/SUB and MUL operations.

Workaround

Slow data structures access

Detected data structures (typically arrays) that cannot be efficiently read/written

Details

Constant non-unit stride: 2 occurrence(s)

Non-unit stride (uncontiguous) accesses are not efficiently using data caches

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vector unaligned load/store instructions

Detected 2 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 2 occurrences►

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries
inform your compiler that your arrays are vector aligned: read your compiler manual.

Type of elements and instruction set

24 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 288 FP arithmetical operations:

128: addition or subtraction (96 inside FMA instructions)
160: multiply (96 inside FMA instructions)

The binary loop is loading 1160 bytes (145 double precision FP elements). The binary loop is storing 128 bytes (16 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.22 FP operations per loaded or stored byte.

General properties

nb instructions	29
nb uops	28
loop length	205
used x86 registers	11
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	15
nb stack references	1
ADD-SUB / MUL ratio	0.50

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	3.50 cycles
front end	3.50 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	5.25	5.25	5.25	5.25	10.00	10.00	2.00	2.00	1.00	1.00
cycles	0.33	0.33	0.33	0.33	0.33	0.33	5.25	5.25	5.25	5.25	10.00	10.00	2.00	2.00	1.00	1.00

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	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	3.50
Dispatch	10.00
Data deps.	1.00
Overall L1	10.00

Vectorization ratios

all	100%
load	100%
store	100%
mul	100%
add-sub	100%
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	100%
add-sub	100%
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 10.00 cycles. At this rate:

45% of peak load performance is reached (116.00 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
10% of peak store performance is reached (12.80 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: 4878d0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
VMULPD (%R8,%RCX,1),%ZMM5,%ZMM8	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%)
VMULPD (%R14,%RCX,1),%ZMM3,%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%)
VMULPD (%RSI,%RCX,1),%ZMM5,%ZMM25	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%)
VMULPD (%RBX,%RCX,1),%ZMM3,%ZMM1	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%)
VFMADD231PD (%RAX,%RCX,1),%ZMM6,%ZMM8	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%)
VFMADD231PD (%RDI,%RCX,1),%ZMM4,%ZMM27	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 %ZMM27,%ZMM8,%ZMM10	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%)
VMULPD 0x40(%R14,%RCX,1),%ZMM3,%ZMM29	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%)
VFMADD231PD (%R13,%RCX,1),%ZMM4,%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%)
VFMADD231PD (%RDX,%RCX,1),%ZMM6,%ZMM25	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 %ZMM1,%ZMM25,%ZMM26	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%)
VFMADD213PD (%R12,%RCX,1),%ZMM9,%ZMM26	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%)
VFMADD132PD %ZMM7,%ZMM26,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMULPD 0x40(%RCX,%R8,1),%ZMM5,%ZMM8	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%)
VMULPD 0x40(%RSI,%RCX,1),%ZMM5,%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%)
VFMADD231PD 0x40(%RDI,%RCX,1),%ZMM4,%ZMM29	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%)
VMULPD 0x40(%RBX,%RCX,1),%ZMM3,%ZMM28	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%)
VFMADD231PD 0x40(%RAX,%RCX,1),%ZMM6,%ZMM8	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%)
VFMADD231PD 0x40(%RDX,%RCX,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%)
VFMADD231PD 0x40(%R13,%RCX,1),%ZMM4,%ZMM28	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 %ZMM28,%ZMM0,%ZMM1	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%)
VFMADD213PD 0x40(%R12,%RCX,1),%ZMM9,%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 %ZMM10,(%R12,%RCX,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%)
VADDPD %ZMM29,%ZMM8,%ZMM10	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%)
VFMADD132PD %ZMM7,%ZMM1,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	4	0.50	vect (100.0%)
VMOVUPD %ZMM10,0x40(%R12,%RCX,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%)
SUB $-0x80,%RCX	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 %RCX,0xb8(%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 4878d0 <_ZN16miniqmcreference17einspline_spo_refIdE8evaluateERKN11qmcplusplus11ParticleSetEiRNS2_6VectorIdSaIdEEE+0x610>	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

Report Configuration

Vectorization

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Execution units bottlenecks

Workaround

FMA

Workaround

Slow data structures access

Details

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

Vectorization

Details

Execution units bottlenecks

Workaround

FMA

Workaround

Slow data structures access

Details

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