OV - exec - Loop 71

	Loop Id: 71	Module: exec	Source: advec_cell_kernel.f90:165-170	Coverage: 3.73%

0x41f340 LD1D	{Z23.D}, P0/Z, [X12, X10,LSL #3]    [5]

0x41f344 LD1D	{Z24.D}, P0/Z, [X2, X10,LSL #3]    [3]

0x41f348 LD1D	{Z6.D}, P0/Z, [X4, X10,LSL #3]    [4]

0x41f34c LD1D	{Z25.D}, P0/Z, [X11, X10,LSL #3]    [9]

0x41f350 LD1D	{Z5.D}, P0/Z, [X24, X10,LSL #3]    [1]

0x41f354 LD1D	{Z17.D}, P0/Z, [X6, X10,LSL #3]    [6]

0x41f358 LD1D	{Z4.D}, P0/Z, [X9, X10,LSL #3]    [8]

0x41f35c LD1D	{Z18.D}, P0/Z, [X25, X10,LSL #3]    [2]

0x41f360 LD1D	{Z30.D}, P0/Z, [X8, X10,LSL #3]    [7]

0x41f364 FMUL	Z24.D, P0/M, Z24.D, Z23.D

0x41f368 FADD	Z23.D, P0/M, Z23.D, Z6.D

0x41f36c MOVPRFX	Z21, Z24

0x41f370 FADD	Z21.D, P0/M, Z21.D, Z5.D

0x41f374 FSUB	Z23.D, P0/M, Z23.D, Z25.D

0x41f378 FSUB	Z21.D, P0/M, Z21.D, Z30.D

0x41f37c FMUL	Z24.D, P0/M, Z24.D, Z17.D

0x41f380 FADD	Z24.D, P0/M, Z24.D, Z4.D

0x41f384 FSUB	Z24.D, P0/M, Z24.D, Z18.D

0x41f388 FDIV	Z24.D, P0/M, Z24.D, Z21.D

0x41f38c FDIV	Z21.D, P0/M, Z21.D, Z23.D

0x41f390 ST1D	{Z21.D}, P0, [X2, X10,LSL #3]    [3]

0x41f394 ST1D	{Z24.D}, P0, [X6, X10,LSL #3]    [6]

0x41f398 ADD	X10, X10, X21

0x41f39c WHILELO	P0.D, X10, X13

0x41f3a0 B.NE	41f340

/home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/advec_cell_kernel.f90: 165 - 170

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

165:           pre_mass_s=density1(j,k)*pre_vol(j,k)

166:           post_mass_s=pre_mass_s+mass_flux_x(j,k)-mass_flux_x(j+1,k)

167:           post_ener_s=(energy1(j,k)*pre_mass_s+ener_flux(j,k)-ener_flux(j+1,k))/post_mass_s

168:           advec_vol_s=pre_vol(j,k)+vol_flux_x(j,k)-vol_flux_x(j+1,k)

169:           density1(j,k)=post_mass_s/advec_vol_s

170:           energy1(j,k)=post_ener_s

Coverage (%)	Name	Module
►98.43+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	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	2.54 - 5.12
Bottlenecks	P6, P8,
Function	__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0
Source	advec_cell_kernel.f90:165-170
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	13.99 - 28.17
CQA cycles if no scalar integer	13.99 - 28.17
CQA cycles if FP arith vectorized	13.99 - 28.17
CQA cycles if fully vectorized	13.99 - 28.17
Front-end cycles	3.13
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.50
P3 cycles	0.25
P4 cycles	1.00
P5 cycles	0.25
P6 cycles	5.50
P7 cycles	5.50
P8 cycles	4.00
P9 cycles	4.00
P10 cycles	5.50
P11 cycles	5.50
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	13.99 - 28.17
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	25.00
Nb uops	25.00
Nb loads	NA
Nb stores	2.00
Nb stack references	0.00
FLOP/cycle	2.86 - 1.42
Nb FLOP add-sub	24.00
Nb FLOP mul	8.00
Nb FLOP fma	0.00
Nb FLOP div	8.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	12.50 - 25.17
Bytes prefetched	0.00
Bytes loaded	288.00
Bytes stored	64.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	9.00
Stride indirect	0.00
Vectorization ratio all	95.45
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	0.00
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	NA
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	2.54 - 5.12
Bottlenecks	P6, P8,
Function	__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0
Source	advec_cell_kernel.f90:165-170
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	max
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	13.99 - 28.17
CQA cycles if no scalar integer	13.99 - 28.17
CQA cycles if FP arith vectorized	13.99 - 28.17
CQA cycles if fully vectorized	13.99 - 28.17
Front-end cycles	3.13
P0 cycles	0.50
P1 cycles	0.50
P2 cycles	0.50
P3 cycles	0.25
P4 cycles	1.00
P5 cycles	0.25
P6 cycles	5.50
P7 cycles	5.50
P8 cycles	4.00
P9 cycles	4.00
P10 cycles	5.50
P11 cycles	5.50
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	13.99 - 28.17
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	25.00
Nb uops	25.00
Nb loads	NA
Nb stores	2.00
Nb stack references	0.00
FLOP/cycle	2.86 - 1.42
Nb FLOP add-sub	24.00
Nb FLOP mul	8.00
Nb FLOP fma	0.00
Nb FLOP div	8.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	12.50 - 25.17
Bytes prefetched	0.00
Bytes loaded	288.00
Bytes stored	64.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	9.00
Stride indirect	0.00
Vectorization ratio all	95.45
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	0.00
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	NA
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	__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0
Source file and lines	advec_cell_kernel.f90:165-170
Module	exec

The loop is defined in /home/eoseret/qaas/qaas_runs/178-231-1255/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/advec_cell_kernel.f90:165-170.

The related source loop is not unrolled or unrolled with no peel/tail loop.

gain
potential
hint
expert

Vectorization

Your loop is highly vectorized. 100% of vector register length is used (average across all VPU instructions).

Details

95% of VPU instructions are used in vector version (process two or more data elements in vector registers):

0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

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 28.17 to 5.50 cycles (5.12x speedup).

FMA

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 unknown stride: 9 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)

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

The binary loop is composed of 40 FP arithmetical operations:

24: addition or subtraction
8: multiply
8: divide

The binary loop is loading 288 bytes. The binary loop is storing 64 bytes.

Arithmetic intensity

Arithmetic intensity is 0.11 FP operations per loaded or stored byte.

General properties

nb instructions	25
nb uops	25
loop length	100
used w registers	0
used x registers	12
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	0
used v registers	0
used z registers	10
nb stack references	0
ADD-SUB / MUL ratio	3.00

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	3.13 cycles
front end	3.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	0.50	0.50	0.50	0.25	1.00	0.25	5.50	5.50	1.00	1.00	5.50	5.50	0.00	0.00	0.00
cycles	0.50	0.50	0.50	0.25	1.00	0.25	5.50	5.50	4.00	4.00	5.50	5.50	0.00	0.00	0.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions	13.99-28.17
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	3.13
Dispatch	5.50
DIV/SQRT	13.99-28.17
Data deps.	1.00
Overall L1	13.99-28.17

Vectorization ratios

INT

all	91%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	100%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	95%
load	100%
store	100%
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	0%

Vector efficiency ratios

INT

all	100%
load	100%
store	100%
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	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

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

10% of peak load performance is reached (10.22 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
4% of peak store performance is reached (2.27 out of 48.00 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: 41f340

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
LD1D {Z23.D}, P0/Z, [X12, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z24.D}, P0/Z, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X4, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z25.D}, P0/Z, [X11, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X24, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z17.D}, P0/Z, [X6, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z4.D}, P0/Z, [X9, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z18.D}, P0/Z, [X25, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z30.D}, P0/Z, [X8, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
FMUL Z24.D, P0/M, Z24.D, Z23.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
FADD Z23.D, P0/M, Z23.D, Z6.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
MOVPRFX Z21, Z24	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	scal (100.0%)
FADD Z21.D, P0/M, Z21.D, Z5.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z23.D, P0/M, Z23.D, Z25.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z21.D, P0/M, Z21.D, Z30.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FMUL Z24.D, P0/M, Z24.D, Z17.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
FADD Z24.D, P0/M, Z24.D, Z4.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z24.D, P0/M, Z24.D, Z18.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FDIV Z24.D, P0/M, Z24.D, Z21.D	1	0	0	0	0	0	0	1	0	0	0	0	0	7-15	6.99-14.08	vect (100.0%)
FDIV Z21.D, P0/M, Z21.D, Z23.D	1	0	0	0	0	0	0	1	0	0	0	0	0	7-15	6.99-14.08	vect (100.0%)
ST1D {Z21.D}, P0, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	2	0.50	vect (100.0%)
ST1D {Z24.D}, P0, [X6, X10,LSL #3]	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	2	0.50	vect (100.0%)
ADD X10, X10, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.25	N/A
WHILELO P0.D, X10, X13	1	0	0	0	0	1	0	0	0	0	0	0	0	3	2	N/A
B.NE 41f340 <__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0+0xbc0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0
Source file and lines	advec_cell_kernel.f90:165-170
Module	exec

gain
potential
hint
expert

Vectorization

Your loop is highly vectorized. 100% of vector register length is used (average across all VPU instructions).

Details

95% of VPU instructions are used in vector version (process two or more data elements in vector registers):

0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

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 28.17 to 5.50 cycles (5.12x speedup).

FMA

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 unknown stride: 9 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)

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

The binary loop is composed of 40 FP arithmetical operations:

24: addition or subtraction
8: multiply
8: divide

The binary loop is loading 288 bytes. The binary loop is storing 64 bytes.

Arithmetic intensity

Arithmetic intensity is 0.11 FP operations per loaded or stored byte.

General properties

nb instructions	25
nb uops	25
loop length	100
used w registers	0
used x registers	12
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	0
used v registers	0
used z registers	10
nb stack references	0
ADD-SUB / MUL ratio	3.00

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	3.13 cycles
front end	3.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	0.50	0.50	0.50	0.25	1.00	0.25	5.50	5.50	1.00	1.00	5.50	5.50	0.00	0.00	0.00
cycles	0.50	0.50	0.50	0.25	1.00	0.25	5.50	5.50	4.00	4.00	5.50	5.50	0.00	0.00	0.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions	13.99-28.17
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	3.13
Dispatch	5.50
DIV/SQRT	13.99-28.17
Data deps.	1.00
Overall L1	13.99-28.17

Vectorization ratios

INT

all	91%
load	100%
store	100%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

all	100%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

all	95%
load	100%
store	100%
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	0%

Vector efficiency ratios

INT

all	100%
load	100%
store	100%
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	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	100%
other	NA (no other vectorizable/vectorized instructions)

INT+FP

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

10% of peak load performance is reached (10.22 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
4% of peak store performance is reached (2.27 out of 48.00 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: 41f340

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
LD1D {Z23.D}, P0/Z, [X12, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z24.D}, P0/Z, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z6.D}, P0/Z, [X4, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z25.D}, P0/Z, [X11, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z5.D}, P0/Z, [X24, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z17.D}, P0/Z, [X6, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z4.D}, P0/Z, [X9, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z18.D}, P0/Z, [X25, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
LD1D {Z30.D}, P0/Z, [X8, X10,LSL #3]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	6	0.50	vect (100.0%)
FMUL Z24.D, P0/M, Z24.D, Z23.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
FADD Z23.D, P0/M, Z23.D, Z6.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
MOVPRFX Z21, Z24	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	scal (100.0%)
FADD Z21.D, P0/M, Z21.D, Z5.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z23.D, P0/M, Z23.D, Z25.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z21.D, P0/M, Z21.D, Z30.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FMUL Z24.D, P0/M, Z24.D, Z17.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (100.0%)
FADD Z24.D, P0/M, Z24.D, Z4.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FSUB Z24.D, P0/M, Z24.D, Z18.D	1	0	0	0	0	0	0	0.50	0.50	0	0	0	0	2	0.50	vect (100.0%)
FDIV Z24.D, P0/M, Z24.D, Z21.D	1	0	0	0	0	0	0	1	0	0	0	0	0	7-15	6.99-14.08	vect (100.0%)
FDIV Z21.D, P0/M, Z21.D, Z23.D	1	0	0	0	0	0	0	1	0	0	0	0	0	7-15	6.99-14.08	vect (100.0%)
ST1D {Z21.D}, P0, [X2, X10,LSL #3]	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	2	0.50	vect (100.0%)
ST1D {Z24.D}, P0, [X6, X10,LSL #3]	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	2	0.50	vect (100.0%)
ADD X10, X10, X21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.25	N/A
WHILELO P0.D, X10, X13	1	0	0	0	0	1	0	0	0	0	0	0	0	3	2	N/A
B.NE 41f340 <__advec_cell_kernel_module_MOD_advec_cell_kernel._omp_fn.0+0xbc0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

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Vectorization

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Expensive FP math instructions/calls

FMA

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Slow data structures access

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Workaround

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

Arithmetic intensity

General properties

Front-end

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Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Vectorization

Details

Expensive FP math instructions/calls

FMA

Workaround

Slow data structures access

Details

Workaround

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