OV - exec - Function update_left(int, int, int, int, double*, bool) [clone .omp

	Function: update_left(int, int, int, int, double*, bool) [clone .omp_outlined]	Module: exec	Source: local_halos.cpp:10-15	Coverage (incl. loops): 0.02% \| (excl. loops): 0.00%

/home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/local_halos.cpp: 10 - 15

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

10:   #pragma omp parallel for

11: #endif

12:   for (int jj = halo_depth; jj < y - halo_depth; ++jj) {

13:     for (int kk = 0; kk < depth; ++kk) {

14:       int base = jj * x;

15:       buffer[base + (halo_depth - kk - 1)] = buffer[base + (halo_depth + kk)];

0x406efc SUB	SP, SP, #96

0x406f00 STP	X29, X30, [SP, #32]

0x406f04 STP	X24, X23, [SP, #48]

0x406f08 STP	X22, X21, [SP, #64]

0x406f0c STP	X20, X19, [SP, #80]

0x406f10 ADD	X29, SP, #32

0x406f14 LDRSW	X21, [X3]

0x406f18 LDR	W8, [X2]

0x406f1c SUB	W8, W8, W21

0x406f20 CMP	W21, W8

0x406f24 B.GE	407000

0x406f28 LDR	W19, [X0]

0x406f2c ORN	W9, WZR, W21

0x406f30 ORR	X20, XZR, X4

0x406f34 ORR	X23, XZR, X5

0x406f38 ORR	X22, XZR, X6

0x406f3c MOVZ	W10, #1

0x406f40 ADD	W24, W8, W9

0x406f44 ADRP	X0,

0x406f48 ADD	X0, X0, #1928

0x406f4c ADD	X3, SP, #16

0x406f50 SUB	X4, X29, #4

0x406f54 SUB	X5, X29, #8

0x406f58 SUB	X6, X29, #12

0x406f5c ORR	W1, WZR, W19

0x406f60 MOVZ	W2, #34

0x406f64 MOVZ	W7, #1

0x406f68 STUR	W10, [X29, #500]

0x406f6c STP	W24, WZR, [X29, #504]

0x406f70 STR	WZR, [SP, #16]

0x406f74 STR	W10, [SP]

0x406f78 BL	4014d0

0x406f7c LDP	W8, W9, [X29, #504]

0x406f80 CMP	W8, W24

0x406f84 CSEL	W8, W8, W24, #3

0x406f88 ADD	W10, W8, #1

0x406f8c CMP	W9, W10

0x406f90 B.CS	406ff0

0x406f94 LDR	W10, [X20]

0x406f98 CMP	W10, #1

0x406f9c B.LT	406ff0

0x406fa0 LDR	W11, [X23]

0x406fa4 ADD	W12, W9, W21

0x406fa8 LDR	X13, [X22]

0x406fac MADD	W12, W11, W12, WZR

0x406fb0 ADD	X14, X13, X21,LSL #3

0x406fb4 ADD	W15, W21, W12

0x406fb8 SUB	W15, W15, #1

(73) 0x406fbc ADD	X16, X14, W12,SXTW #3

(73) 0x406fc0 ORR	X17, XZR, X10

(73) 0x406fc4 ORR	W18, WZR, W15

  (72) 0x406fc8 LDR	D0, [X16], #8

  (72) 0x406fcc SUBS	X17, X17, #1

  (72) 0x406fd0 STR	D0, [X13, X18,SXTW #3]

  (72) 0x406fd4 SUB	W18, W18, #1

  (72) 0x406fd8 B.NE	406fc8

(73) 0x406fdc CMP	W9, W8

(73) 0x406fe0 ADD	W9, W9, #1

(73) 0x406fe4 ADD	W12, W12, W11

(73) 0x406fe8 ADD	W15, W15, W11

(73) 0x406fec B.NE	406fbc

0x406ff0 ADRP	X0,

0x406ff4 ADD	X0, X0, #1952

0x406ff8 ORR	W1, WZR, W19

0x406ffc BL	4013f0

0x407000 LDP	X20, X19, [SP, #80]

0x407004 LDP	X22, X21, [SP, #64]

0x407008 LDP	X24, X23, [SP, #48]

0x40700c LDP	X29, X30, [SP, #32]

0x407010 ADD	SP, SP, #96

0x407014 RET

Coverage (%)	Name	Source Location	Module
○99.03	__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 0.00% of application time for run orig_0

Source file and lines	local_halos.cpp:10-15
Module	exec

The function is defined in /home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/local_halos.cpp:10-15.

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Your function is not vectorized. Only 38% of vector register length is used (average across all VPU instructions). By vectorizing your function, you can lower the cost of an iteration from 7.25 to 4.66 cycles (1.56x 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 7.25 to 1.00 cycles (7.25x 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 100 bytes. The binary function is storing 84 bytes.

General properties

nb instructions	58
loop length	232
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

7.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	3.00	3.00	5.92	5.92	5.83	5.83	5.75	5.75	0.00	0.00	0.00	0.00	6.33	6.33	6.33	4.00	4.00
cycles	3.00	3.00	5.92	5.92	5.83	5.83	5.75	5.75	0.00	0.00	0.00	0.00	6.33	6.33	6.33	4.00	4.00

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	7.25
Overall L1	7.25

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
fma	0%
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 7.25 cycles. At this rate:

14% of peak load performance is reached (13.79 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
24% of peak store performance is reached (11.59 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 406efc

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
SUB SP, SP, #96	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
STP X29, X30, [SP, #32]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X24, X23, [SP, #48]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #64]	1	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, #80]	1	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, #32	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDRSW X21, [X3]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR W8, [X2]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SUB W8, W8, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
CMP W21, W8	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.GE 407000 <_Z11update_leftiiiiPdb.omp_outlined+0x104>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W19, [X0]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ORN W9, WZR, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ORR X20, XZR, X4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR X23, XZR, X5	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR X22, XZR, X6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MOVZ W10, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADD W24, W8, W9	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADRP X0, <42ff44>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1928	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X3, SP, #16	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SUB X4, X29, #4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X5, X29, #8	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X6, X29, #12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ORR W1, WZR, W19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
MOVZ W2, #34	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MOVZ W7, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
STUR W10, [X29, #500]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STP W24, WZR, [X29, #504]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STR WZR, [SP, #16]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR W10, [SP]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
BL 4014d0 <@plt_start@+0x100>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP W8, W9, [X29, #504]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
CMP W8, W24	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
CSEL W8, W8, W24, #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADD W10, W8, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
CMP W9, W10	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.CS 406ff0 <_Z11update_leftiiiiPdb.omp_outlined+0xf4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W10, [X20]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP W10, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.LT 406ff0 <_Z11update_leftiiiiPdb.omp_outlined+0xf4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W11, [X23]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD W12, W9, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
LDR X13, [X22]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
MADD W12, W11, W12, WZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
ADD X14, X13, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ADD W15, W21, W12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
SUB W15, W15, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADRP X0, <42fff0>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1952	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR W1, WZR, W19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
BL 4013f0 <@plt_start@+0x20>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X20, X19, [SP, #80]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X22, X21, [SP, #64]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X24, X23, [SP, #48]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X29, X30, [SP, #32]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
ADD SP, SP, #96	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
RET	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run orig_0

Source file and lines	local_halos.cpp:10-15
Module	exec

The function is defined in /home/hbollore/qaas/qaas-runs/174-118-5752/intel/TeaLeaf/build/TeaLeaf/src/omp/local_halos.cpp:10-15.

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 7.25 to 1.00 cycles (7.25x 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 100 bytes. The binary function is storing 84 bytes.

General properties

nb instructions	58
loop length	232
nb stack references	0

Front-end

FIT IN UOP CACHE

front end

7.25 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	P16
uops	3.00	3.00	5.92	5.92	5.83	5.83	5.75	5.75	0.00	0.00	0.00	0.00	6.33	6.33	6.33	4.00	4.00
cycles	3.00	3.00	5.92	5.92	5.83	5.83	5.75	5.75	0.00	0.00	0.00	0.00	6.33	6.33	6.33	4.00	4.00

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	7.25
Overall L1	7.25

Vectorization ratios

all	0%
load	0%
store	0%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	0%
fma	0%
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 7.25 cycles. At this rate:

14% of peak load performance is reached (13.79 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
24% of peak store performance is reached (11.59 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

ASM code

In the binary file, the address of the function is: 406efc

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P12	P13	P14	P15	P16	Latency	Recip. throughput	Vectorization
SUB SP, SP, #96	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
STP X29, X30, [SP, #32]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X24, X23, [SP, #48]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (100.0%)
STP X22, X21, [SP, #64]	1	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, #80]	1	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, #32	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
LDRSW X21, [X3]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR W8, [X2]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SUB W8, W8, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
CMP W21, W8	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.GE 407000 <_Z11update_leftiiiiPdb.omp_outlined+0x104>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W19, [X0]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ORN W9, WZR, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ORR X20, XZR, X4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR X23, XZR, X5	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR X22, XZR, X6	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MOVZ W10, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADD W24, W8, W9	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADRP X0, <42ff44>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1928	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ADD X3, SP, #16	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
SUB X4, X29, #4	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X5, X29, #8	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
SUB X6, X29, #12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ORR W1, WZR, W19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
MOVZ W2, #34	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
MOVZ W7, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
STUR W10, [X29, #500]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STP W24, WZR, [X29, #504]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STR WZR, [SP, #16]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR W10, [SP]	1	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
BL 4014d0 <@plt_start@+0x100>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP W8, W9, [X29, #504]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
CMP W8, W24	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
CSEL W8, W8, W24, #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADD W10, W8, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
CMP W9, W10	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.CS 406ff0 <_Z11update_leftiiiiPdb.omp_outlined+0xf4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W10, [X20]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP W10, #1	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.33	scal (25.0%)
B.LT 406ff0 <_Z11update_leftiiiiPdb.omp_outlined+0xf4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W11, [X23]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD W12, W9, W21	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
LDR X13, [X22]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (50.0%)
MADD W12, W11, W12, WZR	1	0	0	0	0	0	0	1	0	0	0	0	0	0	2	1	scal (25.0%)
ADD X14, X13, X21,LSL #3	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (50.0%)
ADD W15, W21, W12	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
SUB W15, W15, #1	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
ADRP X0, <42fff0>	1	0	0	0.25	0.25	0	0	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1952	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
ORR W1, WZR, W19	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	scal (25.0%)
BL 4013f0 <@plt_start@+0x20>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X20, X19, [SP, #80]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X22, X21, [SP, #64]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X24, X23, [SP, #48]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
LDP X29, X30, [SP, #32]	1	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.50	N/A
ADD SP, SP, #96	1	0	0	0.17	0.17	0.17	0.17	0.17	0.17	0	0	0	0	0	1	0.17	N/A
RET	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Name	Coverage (%)	Time (s)
▼update_left(int, int, int, int, double*, bool) [clone .omp_outlined]–	0.02	0.03
▼Loop 73 - local_halos.cpp:12-15 - exec–	0.00	0.00
○Loop 72 - local_halos.cpp:13-15 - exec	0.02	0.03

Report Configuration

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