OV - exec - Loop 200

0x424b90 VMOVQ	%XMM22,%R8

0x424b96 VPSUBQ	%YMM12,%YMM22,%YMM22

0x424b9c SUB	%R9,%R8

0x424b9f VMOVUPD	(%RDX,%R8,8),%YMM23{%K1}{z}    [2]

0x424ba6 VMOVUPD	(%RCX,%R8,8),%YMM24{%K1}{z}    [1]

0x424bad VMULPD	%YMM24,%YMM24,%YMM24

0x424bb3 VFMADD231PD	%YMM23,%YMM23,%YMM24

0x424bb9 VFMADD231PD	%YMM9,%YMM24,%YMM21

0x424bbf VMOVAPD	%YMM21,%YMM20{%K1}

0x424bc5 VPCMPNEQQ	%YMM18,%YMM22,%K1{%K1}

0x424bcc KORTESTB	%K1,%K1

0x424bd0 JNE	424b90

/home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90: 62 - 63

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

62:             vsqrd=vsqrd+0.25*(xvel0(jv,kv)**2+yvel0(jv,kv)**2)

63:           ENDDO

Coverage (%)	Name	Source Location	Module
►100.00+	__kmp_invoke_microtask		libiomp5.so
○	__kmp_invoke_task_func		libiomp5.so

Path /

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.50
CQA speedup if fully vectorized	2.91
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.60
Bottlenecks
Function	field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2
Source	field_summary_kernel.f90:62-63
Source loop unroll info	unrolled by 4
Source loop unroll confidence level	max
Unroll/vectorization loop type	main
Unroll factor	4
CQA cycles	4.00
CQA cycles if no scalar integer	4.00
CQA cycles if FP arith vectorized	2.67
CQA cycles if fully vectorized	1.38
Front-end cycles	1.83
P0 cycles	2.50
P1 cycles	2.50
P2 cycles	0.67
P3 cycles	0.67
P4 cycles	0.00
P5 cycles	1.00
P6 cycles	1.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	1.00
P11 cycles	0.67
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	4
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	12.00
Nb uops	11.00
Nb loads	2.00
Nb stores	0.00
Nb stack references	0.00
FLOP/cycle	5.00
Nb FLOP add-sub	0.00
Nb FLOP mul	4.00
Nb FLOP fma	8.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	16.00
Bytes prefetched	0.00
Bytes loaded	64.00
Bytes stored	0.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	2.00
Stride indirect	0.00
Vectorization ratio all	88.89
Vectorization ratio load	100.00
Vectorization ratio store	NA
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	66.67
Vector-efficiency ratio all	45.83
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	50.00
Vector-efficiency ratio add_sub	50.00
Vector-efficiency ratio fma	50.00
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	37.50

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.50
CQA speedup if fully vectorized	2.91
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.60
Bottlenecks
Function	field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2
Source	field_summary_kernel.f90:62-63
Source loop unroll info	unrolled by 4
Source loop unroll confidence level	max
Unroll/vectorization loop type	main
Unroll factor	4
CQA cycles	4.00
CQA cycles if no scalar integer	4.00
CQA cycles if FP arith vectorized	2.67
CQA cycles if fully vectorized	1.38
Front-end cycles	1.83
P0 cycles	2.50
P1 cycles	2.50
P2 cycles	0.67
P3 cycles	0.67
P4 cycles	0.00
P5 cycles	1.00
P6 cycles	1.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	1.00
P11 cycles	0.67
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	4
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	12.00
Nb uops	11.00
Nb loads	2.00
Nb stores	0.00
Nb stack references	0.00
FLOP/cycle	5.00
Nb FLOP add-sub	0.00
Nb FLOP mul	4.00
Nb FLOP fma	8.00
Nb FLOP div	0.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	16.00
Bytes prefetched	0.00
Bytes loaded	64.00
Bytes stored	0.00
Stride 0	0.00
Stride 1	0.00
Stride n	0.00
Stride unknown	2.00
Stride indirect	0.00
Vectorization ratio all	88.89
Vectorization ratio load	100.00
Vectorization ratio store	NA
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	NA
Vectorization ratio other	66.67
Vector-efficiency ratio all	45.83
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	50.00
Vector-efficiency ratio add_sub	50.00
Vector-efficiency ratio fma	50.00
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	37.50

Path /

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

Function	field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2
Source file and lines	field_summary_kernel.f90:62-63
Module	exec

The loop is defined in /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62-63.

It is main loop of related source loop which is unrolled by 4 (including vectorization).

gain
potential
hint
expert

Vectorization

Your loop is partially vectorized. Only 45% of vector register length is used (average across all SSE/AVX instructions).

Details

88% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

66% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Workaround

Read the "512-bits vectorization" report at "Potential" confidence level.

Execution units bottlenecks

Found no such bottlenecks but see expert reports for more complex bottlenecks.

512-bits vectorization

On some x86 processors supporting 512-bits vectorization, compilers are often too conservative and limit vectorization to 256 bits. Performance can then be improved by enforcing 512-bits vectorization, especially with many vectorized and high trip count loops. 512-bits vectorization performance overhead (compared to 256-bits) is generally lower on newer processors.

Workaround

Recompile with -qopt-zmm-usage=high

Masked instructions

Detected masked instructions.

Details

Vector registers are partially exploited, which is expected if your loop is irregular or mixes elements of different sizes.

Workaround

If your loop is irregular, try to remove or hoist conditional structures out of your loop. If it mixes elements of different sizes, try to uniformize them.

FMA

Detected 8 FMA (fused multiply-add) operations.

Slow data structures access

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

Details

Constant unknown 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►
- /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62
- /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries: compile with -align array64byte (remark: not affects arrays in COMMON blocks).
inform your compiler that your arrays are vector aligned: Append !DIR$ VECTOR ALIGNED to the loop if all accessed arrays are aligned, or !DIR$ ASSUME_ALIGNED FOO: 64 if only FOO is aligned.

Type of elements and instruction set

3 AVX instructions are processing arithmetic or math operations on double precision FP elements in vector mode (four at a time).

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

The binary loop is composed of 20 FP arithmetical operations:

8: addition or subtraction (all inside FMA instructions)
12: multiply (8 inside FMA instructions)

The binary loop is loading 64 bytes (8 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.31 FP operations per loaded or stored byte.

General properties

nb instructions	12
nb uops	11
loop length	66
used x86 registers	4
used mmx registers	0
used xmm registers	1
used ymm registers	8
used zmm registers	0
nb stack references	0

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	1.83 cycles
front end	1.83 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	2.50	2.50	0.67	0.67	0.00	1.00	1.00	0.00	0.00	0.00	1.00	0.67
cycles	2.50	2.50	0.67	0.67	0.00	1.00	1.00	0.00	0.00	0.00	1.00	0.67

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	4.00

Cycles summary

Front-end	1.83
Dispatch	2.50
Data deps.	4.00
Overall L1	4.00

Vectorization ratios

INT

all	66%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
other	50%

FP

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

INT+FP

all	88%
load	100%
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	100%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	66%

Vector efficiency ratios

INT

all	37%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	50%
fma	NA (no fma vectorizable/vectorized instructions)
other	31%

FP

all	50%
load	50%
store	NA (no store vectorizable/vectorized instructions)
mul	50%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	50%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	50%

INT+FP

all	45%
load	50%
store	NA (no store vectorizable/vectorized instructions)
mul	50%
add-sub	50%
fma	50%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	37%

Cycles and memory resources usage

Detected masked instructions: assuming all mask elements are active. Assuming all data fit into the L1 cache, each iteration of the binary loop takes 4.00 cycles. At this rate:

8% of peak load performance is reached (16.00 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 424b90

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMOVQ %XMM22,%R8	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	scal (12.5%)
VPSUBQ %YMM12,%YMM22,%YMM22	1	0.33	0.33	0	0	0	0.33	0	0	0	0	0	0	0-1	0.33	vect (50.0%)
SUB %R9,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
VMOVUPD (%RDX,%R8,8),%YMM23{%K1}{z}	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.33	vect (50.0%)
VMOVUPD (%RCX,%R8,8),%YMM24{%K1}{z}	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.33	vect (50.0%)
VMULPD %YMM24,%YMM24,%YMM24	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VFMADD231PD %YMM23,%YMM23,%YMM24	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VFMADD231PD %YMM9,%YMM24,%YMM21	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VMOVAPD %YMM21,%YMM20{%K1}	1	0	0	0	0	0	0	0	0	0	0	0	0	0-1	0.17	vect (50.0%)
VPCMPNEQQ %YMM18,%YMM22,%K1{%K1}																vect (50.0%)
KORTESTB %K1,%K1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	N/A
JNE 424b90 <field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2+0x420>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

Function	field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2
Source file and lines	field_summary_kernel.f90:62-63
Module	exec

The loop is defined in /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62-63.

It is main loop of related source loop which is unrolled by 4 (including vectorization).

gain
potential
hint
expert

Vectorization

Your loop is partially vectorized. Only 45% of vector register length is used (average across all SSE/AVX instructions).

Details

88% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

66% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Workaround

Read the "512-bits vectorization" report at "Potential" confidence level.

Execution units bottlenecks

Found no such bottlenecks but see expert reports for more complex bottlenecks.

512-bits vectorization

On some x86 processors supporting 512-bits vectorization, compilers are often too conservative and limit vectorization to 256 bits. Performance can then be improved by enforcing 512-bits vectorization, especially with many vectorized and high trip count loops. 512-bits vectorization performance overhead (compared to 256-bits) is generally lower on newer processors.

Workaround

Recompile with -qopt-zmm-usage=high

Masked instructions

Detected masked instructions.

Details

Vector registers are partially exploited, which is expected if your loop is irregular or mixes elements of different sizes.

Workaround

If your loop is irregular, try to remove or hoist conditional structures out of your loop. If it mixes elements of different sizes, try to uniformize them.

FMA

Detected 8 FMA (fused multiply-add) operations.

Slow data structures access

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

Details

Constant unknown 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►
- /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62
- /home/eoseret/qaas_runs_GNR/173-814-3702/intel/CloverLeaf1.3-FC/build/CloverLeaf1.3-FC/CloverLeaf_ref/kernels/field_summary_kernel.f90:62

Workaround

Use vector aligned instructions:

align your arrays on 64 bytes boundaries: compile with -align array64byte (remark: not affects arrays in COMMON blocks).
inform your compiler that your arrays are vector aligned: Append !DIR$ VECTOR ALIGNED to the loop if all accessed arrays are aligned, or !DIR$ ASSUME_ALIGNED FOO: 64 if only FOO is aligned.

Type of elements and instruction set

3 AVX instructions are processing arithmetic or math operations on double precision FP elements in vector mode (four at a time).

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

The binary loop is composed of 20 FP arithmetical operations:

8: addition or subtraction (all inside FMA instructions)
12: multiply (8 inside FMA instructions)

The binary loop is loading 64 bytes (8 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.31 FP operations per loaded or stored byte.

General properties

nb instructions	12
nb uops	11
loop length	66
used x86 registers	4
used mmx registers	0
used xmm registers	1
used ymm registers	8
used zmm registers	0
nb stack references	0

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	1.83 cycles
front end	1.83 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11
uops	2.50	2.50	0.67	0.67	0.00	1.00	1.00	0.00	0.00	0.00	1.00	0.67
cycles	2.50	2.50	0.67	0.67	0.00	1.00	1.00	0.00	0.00	0.00	1.00	0.67

Execution ports to units layout:

P0 (256 bits): VPU, BRU, ALU, DIV/SQRT
P1 (256 bits): ALU, VPU
P2 (512 bits): load
P3 (512 bits): load
P4 (512 bits): store data
P5 (512 bits): ALU, VPU
P6: ALU, BRU
P7: store address
P8: store address
P9 (512 bits): store data
P10: ALU
P11 (512 bits): load

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	4.00

Cycles summary

Front-end	1.83
Dispatch	2.50
Data deps.	4.00
Overall L1	4.00

Vectorization ratios

INT

all	66%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	100%
fma	NA (no fma vectorizable/vectorized instructions)
other	50%

FP

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

INT+FP

all	88%
load	100%
store	NA (no store vectorizable/vectorized instructions)
mul	100%
add-sub	100%
fma	100%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	66%

Vector efficiency ratios

INT

all	37%
load	NA (no load vectorizable/vectorized instructions)
store	NA (no store vectorizable/vectorized instructions)
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	50%
fma	NA (no fma vectorizable/vectorized instructions)
other	31%

FP

all	50%
load	50%
store	NA (no store vectorizable/vectorized instructions)
mul	50%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	50%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	50%

INT+FP

all	45%
load	50%
store	NA (no store vectorizable/vectorized instructions)
mul	50%
add-sub	50%
fma	50%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	37%

Cycles and memory resources usage

Detected masked instructions: assuming all mask elements are active. Assuming all data fit into the L1 cache, each iteration of the binary loop takes 4.00 cycles. At this rate:

8% of peak load performance is reached (16.00 out of 192.00 bytes loaded per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 424b90

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	Latency	Recip. throughput	Vectorization
VMOVQ %XMM22,%R8	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	scal (12.5%)
VPSUBQ %YMM12,%YMM22,%YMM22	1	0.33	0.33	0	0	0	0.33	0	0	0	0	0	0	0-1	0.33	vect (50.0%)
SUB %R9,%R8	1	0.20	0.20	0	0	0	0.20	0.20	0	0	0	0.20	0	1	0.20	N/A
VMOVUPD (%RDX,%R8,8),%YMM23{%K1}{z}	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.33	vect (50.0%)
VMOVUPD (%RCX,%R8,8),%YMM24{%K1}{z}	1	0	0	0.33	0.33	0	0	0	0	0	0	0	0.33	0-1	0.33	vect (50.0%)
VMULPD %YMM24,%YMM24,%YMM24	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VFMADD231PD %YMM23,%YMM23,%YMM24	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VFMADD231PD %YMM9,%YMM24,%YMM21	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	4	0.50	vect (50.0%)
VMOVAPD %YMM21,%YMM20{%K1}	1	0	0	0	0	0	0	0	0	0	0	0	0	0-1	0.17	vect (50.0%)
VPCMPNEQQ %YMM18,%YMM22,%K1{%K1}																vect (50.0%)
KORTESTB %K1,%K1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	N/A
JNE 424b90 <field_summary_kernel_module_mp_field_summary_kernel_.DIR.OMP.PARALLEL.2+0x420>	1	0.50	0	0	0	0	0	0.50	0	0	0	0	0	0	0.50	N/A

Report Configuration

Vectorization

Details

Workaround

Execution units bottlenecks

512-bits vectorization

Workaround

Masked instructions

Details

Workaround

FMA

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

Workaround

Execution units bottlenecks

512-bits vectorization

Workaround

Masked instructions

Details

Workaround

FMA

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