OV - exec - Function qmcplusplus::SoaDistanceTableABOMPTarget<double, 3u, 40>::update(int)

	Function: qmcplusplus::SoaDistanceTableABOMPTarget<double, 3u, 40>::update(int)	Module: exec	Source: SoaDistanceTableABOMPTarget.h:372-377 [...]	Coverage (incl. loops): 0.01% \| (excl. loops): 0.01%

/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Utilities/NewTimer.h: 242 - 249

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

242:   ScopeGuard(TIMER& t) : timer(t) { timer.start(); }

[...]

249:   ~ScopeGuard() { timer.stop(); }

/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algobase.h: 413 - 454

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

413: 	{ *__to = *__from; }

[...]

450: 	  const ptrdiff_t _Num = __last - __first;

451: 	  if (__builtin_expect(_Num > 1, true))

452: 	    __builtin_memmove(__result, __first, sizeof(_Tp) * _Num);

453: 	  else if (_Num == 1)

454: 	    std::__copy_move<_IsMove, false, random_access_iterator_tag>::

/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_vector.h: 1131 - 1131

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

1131: 	return *(this->_M_impl._M_start + __n);

/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Numerics/OhmmsPETE/VectorSoAContainer.h: 271 - 271

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

271:   inline T* restrict data(size_t i) { return myData + i * nGhosts; }

/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algo.h: 709 - 709

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

709:       if (__n2 <= 0)

/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Particle/SoaDistanceTableABOMPTarget.h: 372 - 377

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

372:   {

373:     ScopedTimer local_timer(update_timer_);

374:     std::copy_n(temp_r_.data(), num_sources_, distances_[iat].data());

375:     for (int idim = 0; idim < D; ++idim)

376:       std::copy_n(temp_dr_.data(idim), num_sources_, displacements_[iat].data(idim));

377:   }

0x49e470 STP	X29, X30, [SP, #976]!

0x49e474 STP	X22, X21, [SP, #16]

0x49e478 STP	X20, X19, [SP, #32]

0x49e47c ADD	X29, SP, #0

0x49e480 LDR	X19, [X0, #456]

0x49e484 ORR	W21, WZR, W1

0x49e488 ORR	X20, XZR, X0

0x49e48c ORR	X0, XZR, X19

0x49e490 BL	468a00

0x49e494 LDR	X10, [X20, #16]

0x49e498 CBZ	X10, 49e570

0x49e49c LDR	X8, [X20, #72]

0x49e4a0 MOVZ	W9, #40

0x49e4a4 LDR	X1, [X20, #144]

0x49e4a8 SBFM	X22, X21, #0, #31

0x49e4ac SMADDL	X8, W21, W9, X8

0x49e4b0 LDR	X0, [X8, #24]

0x49e4b4 CMP	X10, #2

0x49e4b8 B.LT	49e588

0x49e4bc UBFM	X2, X10, #61, #60

0x49e4c0 BL	404b70

0x49e4c4 LDR	X10, [X20, #16]

(2205) 0x49e4c8 CBZ	X10, 49e570

(2205) 0x49e4cc LDR	X9, [X20, #96]

(2205) 0x49e4d0 MOVZ	W8, #40

(2205) 0x49e4d4 LDR	X1, [X20, #184]

(2205) 0x49e4d8 SMADDL	X8, W22, W8, X9

(2205) 0x49e4dc LDR	X0, [X8, #24]

(2205) 0x49e4e0 CMP	X10, #1

(2205) 0x49e4e4 B.LE	49e600

(2205) 0x49e4e8 UBFM	X2, X10, #61, #60

(2205) 0x49e4ec BL	404b70

(2205) 0x49e4f0 LDR	X10, [X20, #16]

(2205) 0x49e4f4 CBZ	X10, 49e570

(2205) 0x49e4f8 LDR	X8, [X20, #96]

(2205) 0x49e4fc MOVZ	W9, #40

(2205) 0x49e500 LDR	X1, [X20, #184]

(2205) 0x49e504 LDR	X11, [X20, #168]

(2205) 0x49e508 SMADDL	X9, W22, W9, X8

(2205) 0x49e50c ADD	X8, X1, X11,LSL #3

(2205) 0x49e510 LDR	X0, [X9, #24]

(2205) 0x49e514 LDR	X12, [X9, #8]

(2205) 0x49e518 ADD	X9, X0, X12,LSL #3

(2205) 0x49e51c CMP	X10, #1

(2205) 0x49e520 B.LE	49e5d4

(2205) 0x49e524 UBFM	X2, X10, #61, #60

(2205) 0x49e528 ORR	X0, XZR, X9

(2205) 0x49e52c ORR	X1, XZR, X8

(2205) 0x49e530 BL	404b70

(2205) 0x49e534 LDR	X10, [X20, #16]

(2205) 0x49e538 CBZ	X10, 49e570

(2205) 0x49e53c LDR	X11, [X20, #96]

(2205) 0x49e540 MOVZ	W12, #40

(2205) 0x49e544 LDR	X8, [X20, #184]

(2205) 0x49e548 LDR	X9, [X20, #168]

(2205) 0x49e54c SMADDL	X11, W22, W12, X11

(2205) 0x49e550 ADD	X1, X8, X9,LSL #4

(2205) 0x49e554 LDR	X12, [X11, #24]

(2205) 0x49e558 LDR	X11, [X11, #8]

(2205) 0x49e55c ADD	X0, X12, X11,LSL #4

(2205) 0x49e560 CMP	X10, #1

(2205) 0x49e564 B.LE	49e5ec

(2205) 0x49e568 UBFM	X2, X10, #61, #60

(2205) 0x49e56c BL	404b70

(2205) 0x49e570 ORR	X0, XZR, X19

(2205) 0x49e574 BL	468b20

(2205) 0x49e578 LDP	X20, X19, [SP, #32]

(2205) 0x49e57c LDP	X22, X21, [SP, #16]

(2205) 0x49e580 LDP	X29, X30, [SP], #48

(2205) 0x49e584 RET

(2205) 0x49e588 CMP	X10, #1

(2205) 0x49e58c B.NE	49e4c8

(2205) 0x49e590 LDR	D0, [X1]

(2205) 0x49e594 LDR	X9, [X20, #96]

(2205) 0x49e598 MOVZ	W10, #40

(2205) 0x49e59c LDR	X1, [X20, #184]

(2205) 0x49e5a0 ADD	X8, X20, #168

(2205) 0x49e5a4 SMADDL	X10, W22, W10, X9

(2205) 0x49e5a8 STR	D0, [X0]

(2205) 0x49e5ac LDR	X0, [X10, #24]

(2205) 0x49e5b0 LDR	D0, [X1]

(2205) 0x49e5b4 MOVZ	W10, #1

(2205) 0x49e5b8 STR	D0, [X0]

(2205) 0x49e5bc MOVZ	W12, #40

(2205) 0x49e5c0 LDR	X11, [X8]

(2205) 0x49e5c4 SMADDL	X9, W22, W12, X9

(2205) 0x49e5c8 LDR	X12, [X9, #8]

(2205) 0x49e5cc ADD	X8, X1, X11,LSL #3

(2205) 0x49e5d0 ADD	X9, X0, X12,LSL #3

(2205) 0x49e5d4 CMP	X10, #1

(2205) 0x49e5d8 B.NE	49e5e4

(2205) 0x49e5dc LDR	D0, [X8]

(2205) 0x49e5e0 STR	D0, [X9]

(2205) 0x49e5e4 ADD	X1, X1, X11,LSL #4

(2205) 0x49e5e8 ADD	X0, X0, X12,LSL #4

(2205) 0x49e5ec CMP	X10, #1

(2205) 0x49e5f0 B.NE	49e570

(2205) 0x49e5f4 LDR	D0, [X1]

(2205) 0x49e5f8 STR	D0, [X0]

(2205) 0x49e5fc B	49e570

(2205) 0x49e600 ADD	X8, X20, #168

(2205) 0x49e604 B.EQ	49e5b0

(2205) 0x49e608 B	49e5bc

0x49e60c BL	409c40

0x49e610 HINT	#0

0x49e614 HINT	#0

0x49e618 HINT	#0

0x49e61c HINT	#0

Coverage (%)	Name	Source Location	Module
►100.00+	qmcplusplus::ParticleSet::acce[...]	stl_vector.h:993	exec
○	main.omp_outlined.63	miniqmc.cpp:453	exec
○	__kmp_invoke_microtask		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 /

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

The code analyzed by CQA in that panel excludes loops and represents 0.01% of application time for run orig_0

Source file and lines	SoaDistanceTableABOMPTarget.h:372-377
Module	exec

The function is defined in:

/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Utilities/NewTimer.h:242,249
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algobase.h:413,450-454
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_vector.h:1131
/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Numerics/OhmmsPETE/VectorSoAContainer.h:271
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algo.h:709
/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Particle/SoaDistanceTableABOMPTarget.h:372-377

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Your function is not vectorized. Only 65% of vector register length is used (average across all VPU instructions). By vectorizing your function, you can lower the cost of an iteration from 3.17 to 2.67 cycles (1.19x speedup).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 3.17 to 1.50 cycles (2.11x speedup).

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 48 bytes. The binary function is storing 48 bytes.

General properties

nb instructions	27
loop length	108
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

2.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	2.50	2.50	2.17	2.17	2.17	2.17	2.17	2.17	0.00	0.00	0.00	0.00	3.17	2.83	3.00	1.50	1.50
cycles	2.50	2.50	2.17	2.17	2.17	2.17	2.17	2.17	0.00	0.00	0.00	0.00	3.17	2.83	3.00	1.50	1.50

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6: ALU
P7: ALU
P8 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P9 (128 bits): VPU, ALU, FP store data
P10 (128 bits): VPU, ALU, DIV/SQRT
P11 (128 bits): ALU, VPU
P12 (256 bits): store address, load
P13 (256 bits): store address, load
P14 (256 bits): load
P15 (64 bits): store data
P16 (64 bits): store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	2.88
Overall L1	3.17

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 3.17 cycles. At this rate:

15% of peak load performance is reached (15.16 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
31% of peak store performance is reached (15.16 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 49e470

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
STP X29, X30, [SP, #976]!	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X20, X19, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
ADD X29, SP, #0	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
LDR X19, [X0, #456]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR W21, WZR, W1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
ORR X20, XZR, X0	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ORR X0, XZR, X19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
BL 468a00 <_ZN11qmcplusplus9TimerTypeINSt6chrono3_V212system_clockEE5startEv>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X10, [X20, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CBZ X10, 49e570 <_ZN11qmcplusplus27SoaDistanceTableABOMPTargetIdLj3ELi40EE6updateEi+0x100>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W9, #40	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
LDR X1, [X20, #144]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
SBFM X22, X21, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (100.0%)
SMADDL X8, W21, W9, X8	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X8, #24]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X10, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LT 49e588 <_ZN11qmcplusplus27SoaDistanceTableABOMPTargetIdLj3ELi40EE6updateEi+0x118>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UBFM X2, X10, #61, #60	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
BL 404b70 <@plt_start@+0x750>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X10, [X20, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
BL 409c40 <__clang_call_terminate>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A

The code analyzed by CQA in that panel excludes loops and represents 0.01% of application time for run orig_0

Source file and lines	SoaDistanceTableABOMPTarget.h:372-377
Module	exec

The function is defined in:

/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Utilities/NewTimer.h:242,249
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algobase.h:413,450-454
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_vector.h:1131
/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Numerics/OhmmsPETE/VectorSoAContainer.h:271
/opt/arm/gcc-14.2.0_AmazonLinux-2023/lib/gcc/aarch64-linux-gnu/14.2.0/../../../../include/c++/14.2.0/bits/stl_algo.h:709
/home/hbollore/qaas/qaas-runs/174-135-6342/intel/miniqmc/build/miniqmc/src/Particle/SoaDistanceTableABOMPTarget.h:372-377

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 3.17 to 1.50 cycles (2.11x speedup).

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 48 bytes. The binary function is storing 48 bytes.

General properties

nb instructions	27
loop length	108
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

2.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	2.50	2.50	2.17	2.17	2.17	2.17	2.17	2.17	0.00	0.00	0.00	0.00	3.17	2.83	3.00	1.50	1.50
cycles	2.50	2.50	2.17	2.17	2.17	2.17	2.17	2.17	0.00	0.00	0.00	0.00	3.17	2.83	3.00	1.50	1.50

Execution ports to units layout:

P0: BRU
P1: BRU
P2: ALU
P3: ALU
P4: ALU
P5: ALU
P6: ALU
P7: ALU
P8 (128 bits): VPU, FP store data, ALU, DIV/SQRT
P9 (128 bits): VPU, ALU, FP store data
P10 (128 bits): VPU, ALU, DIV/SQRT
P11 (128 bits): ALU, VPU
P12 (256 bits): store address, load
P13 (256 bits): store address, load
P14 (256 bits): load
P15 (64 bits): store data
P16 (64 bits): store data

Cycles executing div or sqrt instructions

Cycles summary

Front-end	2.88
Overall L1	3.17

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 3.17 cycles. At this rate:

15% of peak load performance is reached (15.16 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
31% of peak store performance is reached (15.16 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 49e470

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
STP X29, X30, [SP, #976]!	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X20, X19, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
ADD X29, SP, #0	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
LDR X19, [X0, #456]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
ORR W21, WZR, W1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
ORR X20, XZR, X0	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
ORR X0, XZR, X19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	N/A
BL 468a00 <_ZN11qmcplusplus9TimerTypeINSt6chrono3_V212system_clockEE5startEv>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X10, [X20, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CBZ X10, 49e570 <_ZN11qmcplusplus27SoaDistanceTableABOMPTargetIdLj3ELi40EE6updateEi+0x100>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X20, #72]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W9, #40	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (25.0%)
LDR X1, [X20, #144]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
SBFM X22, X21, #0, #31	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (100.0%)
SMADDL X8, W21, W9, X8	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	N/A
LDR X0, [X8, #24]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
CMP X10, #2	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	N/A
B.LT 49e588 <_ZN11qmcplusplus27SoaDistanceTableABOMPTargetIdLj3ELi40EE6updateEi+0x118>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UBFM X2, X10, #61, #60	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	0	0	0	0	1	0.17	scal (50.0%)
BL 404b70 <@plt_start@+0x750>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X10, [X20, #16]	1	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
BL 409c40 <__clang_call_terminate>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A
HINT #0																					N/A

Name	Coverage (%)	Time (s)
▼qmcplusplus::SoaDistanceTableABOMPTarget::update(int)–	0.01	0.01
○Loop 2205 - stl_algobase.h:413-454 - exec	0.00	0.01

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Vectorization

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Workaround

Expensive FP math instructions/calls

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

General properties

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Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code

Vectorization

Details

Workaround

Expensive FP math instructions/calls

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Cycles and memory resources usage

ASM code