OV - exec - Loop 1321

	Loop Id: 1321	Module: exec	Source: ParticleBConds3DSoa.h:234-255	Coverage: 0.85%

0x28af00 MOVSXD	%R13D,%R13

0x28af03 VMOVDQA64	%ZMM6,%ZMM12

0x28af09 VMOVUPD	(%RDX,%R13,8),%ZMM7    [8]

0x28af10 VMOVUPD	(%R10,%R13,8),%ZMM8    [3]

0x28af17 VMOVUPD	(%RSI,%R13,8),%ZMM9    [5]

0x28af1e VSUBPD	%ZMM2,%ZMM7,%ZMM7

0x28af24 VMULPD	0x48(%RDI){1to8},%ZMM7,%ZMM10    [2]

0x28af2b VMULPD	0x60(%RDI){1to8},%ZMM7,%ZMM11    [2]

0x28af32 VSUBPD	%ZMM3,%ZMM8,%ZMM8

0x28af38 VMULPD	0x78(%RDI){1to8},%ZMM7,%ZMM7    [2]

0x28af3f VSUBPD	%ZMM4,%ZMM9,%ZMM9

0x28af45 VFMADD231PD	0x50(%RDI){1to8},%ZMM8,%ZMM10    [2]

0x28af4c VFMADD231PD	0x68(%RDI){1to8},%ZMM8,%ZMM11    [2]

0x28af53 VFMADD231PD	0x80(%RDI){1to8},%ZMM8,%ZMM7    [2]

0x28af5a VMOVDQA64	%ZMM6,%ZMM8

0x28af60 VFMADD231PD	0x58(%RDI){1to8},%ZMM9,%ZMM10    [2]

0x28af67 VFMADD231PD	0x70(%RDI){1to8},%ZMM9,%ZMM11    [2]

0x28af6e VFMADD231PD	0x88(%RDI){1to8},%ZMM9,%ZMM7    [2]

0x28af75 VMOVDQA64	%ZMM6,%ZMM9

0x28af7b VPTERNLOGQ	$-0x8,%ZMM5,%ZMM10,%ZMM8

0x28af82 VPTERNLOGQ	$-0x8,%ZMM5,%ZMM11,%ZMM9

0x28af89 VPTERNLOGQ	$-0x8,%ZMM5,%ZMM7,%ZMM12

0x28af90 VADDPD	%ZMM8,%ZMM10,%ZMM8

0x28af96 VADDPD	%ZMM9,%ZMM11,%ZMM9

0x28af9c VRNDSCALEPD	$0xb,%ZMM8,%ZMM8

0x28afa3 VRNDSCALEPD	$0xb,%ZMM9,%ZMM9

0x28afaa VSUBPD	%ZMM8,%ZMM10,%ZMM8

0x28afb0 VSUBPD	%ZMM9,%ZMM11,%ZMM9

0x28afb6 VMULPD	(%RDI){1to8},%ZMM8,%ZMM11    [2]

0x28afbc VADDPD	%ZMM12,%ZMM7,%ZMM10

0x28afc2 VFMADD231PD	0x8(%RDI){1to8},%ZMM9,%ZMM11    [2]

0x28afc9 VRNDSCALEPD	$0xb,%ZMM10,%ZMM10

0x28afd0 VSUBPD	%ZMM10,%ZMM7,%ZMM7

0x28afd6 VFMADD231PD	0x10(%RDI){1to8},%ZMM7,%ZMM11    [2]

0x28afdd VMOVUPD	%ZMM11,(%R8,%R13,8)    [1]

0x28afe4 VMULPD	0x18(%RDI){1to8},%ZMM8,%ZMM10    [2]

0x28afeb VFMADD231PD	0x20(%RDI){1to8},%ZMM9,%ZMM10    [2]

0x28aff2 VFMADD231PD	0x28(%RDI){1to8},%ZMM7,%ZMM10    [2]

0x28aff9 VMOVUPD	%ZMM10,(%RBX,%R13,8)    [6]

0x28b000 VMULPD	0x30(%RDI){1to8},%ZMM8,%ZMM8    [2]

0x28b007 VFMADD231PD	0x38(%RDI){1to8},%ZMM9,%ZMM8    [2]

0x28b00e VFMADD231PD	0x40(%RDI){1to8},%ZMM7,%ZMM8    [2]

0x28b015 VMOVUPD	%ZMM8,(%R11,%R13,8)    [4]

0x28b01c VMOVUPD	(%R8,%R13,8),%ZMM7    [1]

0x28b023 VMOVUPD	(%RBX,%R13,8),%ZMM9    [6]

0x28b02a VMULPD	%ZMM7,%ZMM7,%ZMM7

0x28b030 VFMADD231PD	%ZMM8,%ZMM8,%ZMM7

0x28b036 VFMADD231PD	%ZMM9,%ZMM9,%ZMM7

0x28b03c VSQRTPD	%ZMM7,%ZMM7

0x28b042 VMOVUPD	%ZMM7,(%RCX,%R13,8)    [7]

0x28b049 ADD	$0x8,%R13D

0x28b04d ADD	$-0x8,%R12D

0x28b051 JNE	28af00

/home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h: 234 - 255

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

234: #pragma omp simd aligned(temp_r, px, py, pz, dx, dy, dz: QMC_SIMD_ALIGNMENT)

235:     for (int iat = first; iat < last; ++iat)

236:     {

237:       T displ_0 = px[iat] - x0;

238:       T displ_1 = py[iat] - y0;

239:       T displ_2 = pz[iat] - z0;

240:

241:       T ar_0 = displ_0 * g00 + displ_1 * g10 + displ_2 * g20;

242:       T ar_1 = displ_0 * g01 + displ_1 * g11 + displ_2 * g21;

243:       T ar_2 = displ_0 * g02 + displ_1 * g12 + displ_2 * g22;

244:

245:       //put them in the box

246:       ar_0 -= round(ar_0);

247:       ar_1 -= round(ar_1);

248:       ar_2 -= round(ar_2);

249:

250:       //unit2cart

251:       dx[iat] = ar_0 * r00 + ar_1 * r10 + ar_2 * r20;

252:       dy[iat] = ar_0 * r01 + ar_1 * r11 + ar_2 * r21;

253:       dz[iat] = ar_0 * r02 + ar_1 * r12 + ar_2 * r22;

254:

255:       temp_r[iat] = std::sqrt(dx[iat] * dx[iat] + dy[iat] * dy[iat] + dz[iat] * dz[iat]);

Coverage (%)	Name	Source Location	Module

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	NA
Bottlenecks	P10, P11,
Function	void qmcplusplus::DTD_BConds::computeDistances, qmcplusplus::VectorSoAContainer >, qmcplusplus::VectorSoAContainer > >(qmcplusplus::TinyVector const&, qmcplusplus::VectorSoAContainer > const&, double*, qmcplusplus::VectorSoAContainer >&, int, int, int) const
Source	ParticleBConds3DSoa.h:234-255
Source loop unroll info	unrolled by 8
Source loop unroll confidence level	high
Unroll/vectorization loop type	main
Unroll factor	8
CQA cycles	11.00
CQA cycles if no scalar integer	11.00
CQA cycles if FP arith vectorized	11.00
CQA cycles if fully vectorized	11.00
Front-end cycles	6.50
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.50
P3 cycles	0.50
P4 cycles	0.50
P5 cycles	0.50
P6 cycles	6.75
P7 cycles	6.75
P8 cycles	6.75
P9 cycles	6.75
P10 cycles	11.00
P11 cycles	11.00
P12 cycles	7.50
P13 cycles	7.50
P14 cycles	2.00
P15 cycles	2.00
DIV/SQRT cycles	8.50
Inter-iter dependencies cycles	2
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	53.00
Nb uops	52.00
Nb loads	23.00
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	32.73
Nb FLOP add-sub	72.00
Nb FLOP mul	56.00
Nb FLOP fma	112.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	8.00
Nb FLOP rsqrt	0.00
Bytes/cycle	65.45
Bytes prefetched	0.00
Bytes loaded	464.00
Bytes stored	256.00
Stride 0	1.00
Stride 1	0.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	7.00
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	100.00
Vectorization ratio other	100.00
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	100.00
Vector-efficiency ratio other	100.00

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	NA
Bottlenecks	P10, P11,
Function	void qmcplusplus::DTD_BConds::computeDistances, qmcplusplus::VectorSoAContainer >, qmcplusplus::VectorSoAContainer > >(qmcplusplus::TinyVector const&, qmcplusplus::VectorSoAContainer > const&, double*, qmcplusplus::VectorSoAContainer >&, int, int, int) const
Source	ParticleBConds3DSoa.h:234-255
Source loop unroll info	unrolled by 8
Source loop unroll confidence level	high
Unroll/vectorization loop type	main
Unroll factor	8
CQA cycles	11.00
CQA cycles if no scalar integer	11.00
CQA cycles if FP arith vectorized	11.00
CQA cycles if fully vectorized	11.00
Front-end cycles	6.50
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.50
P3 cycles	0.50
P4 cycles	0.50
P5 cycles	0.50
P6 cycles	6.75
P7 cycles	6.75
P8 cycles	6.75
P9 cycles	6.75
P10 cycles	11.00
P11 cycles	11.00
P12 cycles	7.50
P13 cycles	7.50
P14 cycles	2.00
P15 cycles	2.00
DIV/SQRT cycles	8.50
Inter-iter dependencies cycles	2
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	53.00
Nb uops	52.00
Nb loads	23.00
Nb stores	4.00
Nb stack references	0.00
FLOP/cycle	32.73
Nb FLOP add-sub	72.00
Nb FLOP mul	56.00
Nb FLOP fma	112.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	8.00
Nb FLOP rsqrt	0.00
Bytes/cycle	65.45
Bytes prefetched	0.00
Bytes loaded	464.00
Bytes stored	256.00
Stride 0	1.00
Stride 1	0.00
Stride n	0.00
Stride unknown	0.00
Stride indirect	7.00
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	100.00
Vectorization ratio other	100.00
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	100.00
Vector-efficiency ratio other	100.00

Path /

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

Function	void qmcplusplus::DTD_BConds::computeDistances, qmcplusplus::VectorSoAContainer >, qmcplusplus::VectorSoAContainer > >(qmcplusplus::TinyVector const&, qmcplusplus::VectorSoAContainer > const&, double*, qmcplusplus::VectorSoAContainer >&, int, int, int) const
Source file and lines	ParticleBConds3DSoa.h:234-255
Module	exec

The loop is defined in /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:234-255.

It is main loop of related source loop which is unrolled by 8 (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

Performance is limited by execution of FP multiply or FMA (fused multiply-add) operations (the FP multiply/FMA unit is a bottleneck).

Workaround

Reduce the number of FP multiply/FMA instructions

FMA

Detected 112 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

Irregular (variable stride) or indirect: 7 occurrence(s)

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

Workaround

Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

Vector unaligned load/store instructions

Detected 9 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 9 occurrences►
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:237
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:238
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:239
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:251
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:252
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:253
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries: replace { void *p = malloc (size); } with { void *p; posix_memalign (&p, 64, size); }.
inform your compiler that your arrays are vector aligned: if array 'foo' is 64 bytes-aligned, define a pointer 'p_foo' as __builtin_assume_aligned (foo, 64) and use it instead of 'foo' in the loop.

Type of elements and instruction set

34 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 360 FP arithmetical operations:

184: addition or subtraction (112 inside FMA instructions)
168: multiply (112 inside FMA instructions)
8: square root

The binary loop is loading 464 bytes (58 double precision FP elements). The binary loop is storing 256 bytes (32 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.50 FP operations per loaded or stored byte.

General properties

nb instructions	53
nb uops	52
loop length	343
used x86 registers	10
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	11
nb stack references	0
ADD-SUB / MUL ratio	1.29

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	11.00	11.00	7.50	7.50	2.00	2.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	11.00	11.00	7.50	7.50	2.00	2.00

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	8.50
Longest recurrence chain latency (RecMII)	2.00

Cycles summary

Front-end	6.50
Dispatch	11.00
DIV/SQRT	8.50
Data deps.	2.00
Overall L1	11.00

Vectorization ratios

INT

all	100%
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	100%

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

INT+FP

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

Vector efficiency ratios

INT

all	100%
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	100%

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

INT+FP

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.00 cycles. At this rate:

16% of peak load performance is reached (42.18 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
18% of peak store performance is reached (23.27 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: 28af00

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOVSXD %R13D,%R13	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
VMOVDQA64 %ZMM6,%ZMM12	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VMOVUPD (%RDX,%R13,8),%ZMM7	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%)
VMOVUPD (%R10,%R13,8),%ZMM8	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%)
VMOVUPD (%RSI,%R13,8),%ZMM9	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 %ZMM2,%ZMM7,%ZMM7	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 0x48(%RDI){1to8},%ZMM7,%ZMM10	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 0x60(%RDI){1to8},%ZMM7,%ZMM11	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%)
VSUBPD %ZMM3,%ZMM8,%ZMM8	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 0x78(%RDI){1to8},%ZMM7,%ZMM7	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%)
VSUBPD %ZMM4,%ZMM9,%ZMM9	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%)
VFMADD231PD 0x50(%RDI){1to8},%ZMM8,%ZMM10	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 0x68(%RDI){1to8},%ZMM8,%ZMM11	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 0x80(%RDI){1to8},%ZMM8,%ZMM7	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%)
VMOVDQA64 %ZMM6,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VFMADD231PD 0x58(%RDI){1to8},%ZMM9,%ZMM10	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 0x70(%RDI){1to8},%ZMM9,%ZMM11	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 0x88(%RDI){1to8},%ZMM9,%ZMM7	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%)
VMOVDQA64 %ZMM6,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM10,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM11,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM7,%ZMM12	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VADDPD %ZMM8,%ZMM10,%ZMM8	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%)
VADDPD %ZMM9,%ZMM11,%ZMM9	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%)
VRNDSCALEPD $0xb,%ZMM8,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VRNDSCALEPD $0xb,%ZMM9,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VSUBPD %ZMM8,%ZMM10,%ZMM8	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%)
VSUBPD %ZMM9,%ZMM11,%ZMM9	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 (%RDI){1to8},%ZMM8,%ZMM11	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%)
VADDPD %ZMM12,%ZMM7,%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%)
VFMADD231PD 0x8(%RDI){1to8},%ZMM9,%ZMM11	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%)
VRNDSCALEPD $0xb,%ZMM10,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VSUBPD %ZMM10,%ZMM7,%ZMM7	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%)
VFMADD231PD 0x10(%RDI){1to8},%ZMM7,%ZMM11	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 %ZMM11,(%R8,%R13,8)	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%)
VMULPD 0x18(%RDI){1to8},%ZMM8,%ZMM10	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 0x20(%RDI){1to8},%ZMM9,%ZMM10	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 0x28(%RDI){1to8},%ZMM7,%ZMM10	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,(%RBX,%R13,8)	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%)
VMULPD 0x30(%RDI){1to8},%ZMM8,%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%)
VFMADD231PD 0x38(%RDI){1to8},%ZMM9,%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(%RDI){1to8},%ZMM7,%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%)
VMOVUPD %ZMM8,(%R11,%R13,8)	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,%R13,8),%ZMM7	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%)
VMOVUPD (%RBX,%R13,8),%ZMM9	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 %ZMM7,%ZMM7,%ZMM7	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%)
VFMADD231PD %ZMM8,%ZMM8,%ZMM7	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%)
VFMADD231PD %ZMM9,%ZMM9,%ZMM7	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%)
VSQRTPD %ZMM7,%ZMM7	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	21	8.50	vect (100.0%)
VMOVUPD %ZMM7,(%RCX,%R13,8)	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 $0x8,%R13D	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
ADD $-0x8,%R12D	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
JNE 28af00 <_ZNK11qmcplusplus10DTD_BCondsIdLj3ELi40EE16computeDistancesINS_10TinyVectorIdLj3EEENS_18VectorSoAContainerIdLj3ENS_10MallocatorIdLm64EEEEES8_EEvRKT_RKT0_PdRT1_iii+0xb0>	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	void qmcplusplus::DTD_BConds::computeDistances, qmcplusplus::VectorSoAContainer >, qmcplusplus::VectorSoAContainer > >(qmcplusplus::TinyVector const&, qmcplusplus::VectorSoAContainer > const&, double*, qmcplusplus::VectorSoAContainer >&, int, int, int) const
Source file and lines	ParticleBConds3DSoa.h:234-255
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).

Workaround

Reduce the number of FP multiply/FMA instructions

FMA

Detected 112 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

Irregular (variable stride) or indirect: 7 occurrence(s)

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

Workaround

Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

Vector unaligned load/store instructions

Detected 9 optimal vector unaligned load/store instructions.

Details

VMOVUPD: 9 occurrences►
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:237
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:238
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:239
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:251
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:252
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:253
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255
- /home/eoseret/qaas_runs_ZEN5/173-938-0042/intel/miniqmc/build/miniqmc/src/Particle/Lattice/ParticleBConds3DSoa.h:255

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries: replace { void *p = malloc (size); } with { void *p; posix_memalign (&p, 64, size); }.
inform your compiler that your arrays are vector aligned: if array 'foo' is 64 bytes-aligned, define a pointer 'p_foo' as __builtin_assume_aligned (foo, 64) and use it instead of 'foo' in the loop.

Type of elements and instruction set

34 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 360 FP arithmetical operations:

184: addition or subtraction (112 inside FMA instructions)
168: multiply (112 inside FMA instructions)
8: square root

The binary loop is loading 464 bytes (58 double precision FP elements). The binary loop is storing 256 bytes (32 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.50 FP operations per loaded or stored byte.

General properties

nb instructions	53
nb uops	52
loop length	343
used x86 registers	10
used mmx registers	0
used xmm registers	0
used ymm registers	0
used zmm registers	11
nb stack references	0
ADD-SUB / MUL ratio	1.29

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	6.50 cycles
front end	6.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15
uops	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	11.00	11.00	7.50	7.50	2.00	2.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	11.00	11.00	7.50	7.50	2.00	2.00

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	8.50
Longest recurrence chain latency (RecMII)	2.00

Cycles summary

Front-end	6.50
Dispatch	11.00
DIV/SQRT	8.50
Data deps.	2.00
Overall L1	11.00

Vectorization ratios

INT

all	100%
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	100%

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

INT+FP

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

Vector efficiency ratios

INT

all	100%
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	100%

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

INT+FP

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 11.00 cycles. At this rate:

16% of peak load performance is reached (42.18 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
18% of peak store performance is reached (23.27 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: 28af00

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOVSXD %R13D,%R13	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
VMOVDQA64 %ZMM6,%ZMM12	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VMOVUPD (%RDX,%R13,8),%ZMM7	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%)
VMOVUPD (%R10,%R13,8),%ZMM8	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%)
VMOVUPD (%RSI,%R13,8),%ZMM9	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 %ZMM2,%ZMM7,%ZMM7	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 0x48(%RDI){1to8},%ZMM7,%ZMM10	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 0x60(%RDI){1to8},%ZMM7,%ZMM11	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%)
VSUBPD %ZMM3,%ZMM8,%ZMM8	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 0x78(%RDI){1to8},%ZMM7,%ZMM7	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%)
VSUBPD %ZMM4,%ZMM9,%ZMM9	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%)
VFMADD231PD 0x50(%RDI){1to8},%ZMM8,%ZMM10	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 0x68(%RDI){1to8},%ZMM8,%ZMM11	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 0x80(%RDI){1to8},%ZMM8,%ZMM7	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%)
VMOVDQA64 %ZMM6,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VFMADD231PD 0x58(%RDI){1to8},%ZMM9,%ZMM10	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 0x70(%RDI){1to8},%ZMM9,%ZMM11	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 0x88(%RDI){1to8},%ZMM9,%ZMM7	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%)
VMOVDQA64 %ZMM6,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM10,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM11,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VPTERNLOGQ $-0x8,%ZMM5,%ZMM7,%ZMM12	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	vect (100.0%)
VADDPD %ZMM8,%ZMM10,%ZMM8	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%)
VADDPD %ZMM9,%ZMM11,%ZMM9	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%)
VRNDSCALEPD $0xb,%ZMM8,%ZMM8	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VRNDSCALEPD $0xb,%ZMM9,%ZMM9	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VSUBPD %ZMM8,%ZMM10,%ZMM8	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%)
VSUBPD %ZMM9,%ZMM11,%ZMM9	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 (%RDI){1to8},%ZMM8,%ZMM11	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%)
VADDPD %ZMM12,%ZMM7,%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%)
VFMADD231PD 0x8(%RDI){1to8},%ZMM9,%ZMM11	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%)
VRNDSCALEPD $0xb,%ZMM10,%ZMM10	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	3	0.50	vect (100.0%)
VSUBPD %ZMM10,%ZMM7,%ZMM7	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%)
VFMADD231PD 0x10(%RDI){1to8},%ZMM7,%ZMM11	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 %ZMM11,(%R8,%R13,8)	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%)
VMULPD 0x18(%RDI){1to8},%ZMM8,%ZMM10	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 0x20(%RDI){1to8},%ZMM9,%ZMM10	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 0x28(%RDI){1to8},%ZMM7,%ZMM10	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,(%RBX,%R13,8)	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%)
VMULPD 0x30(%RDI){1to8},%ZMM8,%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%)
VFMADD231PD 0x38(%RDI){1to8},%ZMM9,%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(%RDI){1to8},%ZMM7,%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%)
VMOVUPD %ZMM8,(%R11,%R13,8)	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,%R13,8),%ZMM7	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%)
VMOVUPD (%RBX,%R13,8),%ZMM9	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 %ZMM7,%ZMM7,%ZMM7	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%)
VFMADD231PD %ZMM8,%ZMM8,%ZMM7	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%)
VFMADD231PD %ZMM9,%ZMM9,%ZMM7	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%)
VSQRTPD %ZMM7,%ZMM7	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	21	8.50	vect (100.0%)
VMOVUPD %ZMM7,(%RCX,%R13,8)	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 $0x8,%R13D	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
ADD $-0x8,%R12D	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
JNE 28af00 <_ZNK11qmcplusplus10DTD_BCondsIdLj3ELi40EE16computeDistancesINS_10TinyVectorIdLj3EEENS_18VectorSoAContainerIdLj3ENS_10MallocatorIdLm64EEEEES8_EEvRKT_RKT0_PdRT1_iii+0xb0>	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

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

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