OV - exec - Loop 1456

	Loop Id: 1456	Module: exec	Source: :0-0	Coverage: 1.02%

0x46f8e0 MOV	0x1e0(%RSP),%RAX    [16]

0x46f8e8 MOVSD	(%RSI,%RAX,8),%XMM1    [10]

0x46f8ed MOVSD	(%RDX,%RAX,8),%XMM2    [12]

0x46f8f2 MOVHPD	(%R8,%RAX,8),%XMM2    [2]

0x46f8f8 ADDSD	%XMM1,%XMM1

0x46f8fc MOV	0x1f8(%RSP),%R12    [16]

0x46f904 MOVSD	(%RCX,%R12,8),%XMM3    [9]

0x46f90a MOV	0x1e8(%RSP),%R12    [16]

0x46f912 MOVHPD	(%R13,%R12,8),%XMM3    [11]

0x46f919 ADDPD	%XMM2,%XMM2

0x46f91d MOVSD	(%RBX,%R14,1),%XMM0    [8]

0x46f923 MOVHPD	(%R15,%R14,1),%XMM0    [15]

0x46f929 DIVPD	%XMM3,%XMM2

0x46f92d MULPD	%XMM2,%XMM0

0x46f931 DIVSD	(%R9,%R14,1),%XMM1    [3]

0x46f937 MOV	0x1f0(%RSP),%RAX    [16]

0x46f93f MOVSD	(%RDI,%RAX,8),%XMM3    [4]

0x46f944 MULSD	%XMM1,%XMM3

0x46f948 MOV	%RDI,%R12

0x46f94b MOV	%R15,%RDI

0x46f94e MOV	%RBX,%R15

0x46f951 MOV	%R8,%RBX

0x46f954 MOV	0x8(%RSP),%R8    [16]

0x46f959 ADDSD	(%R8,%RBP,1),%XMM3    [1]

0x46f95f UNPCKLPD	%XMM1,%XMM3

0x46f963 MOVAPD	%XMM0,%XMM1

0x46f967 UNPCKLPD	%XMM2,%XMM1

0x46f96b UNPCKHPD	%XMM2,%XMM0

0x46f96f ADDPD	%XMM1,%XMM0

0x46f973 ADDPD	%XMM3,%XMM0

0x46f977 MOVAPD	%XMM0,%XMM1

0x46f97b UNPCKHPD	%XMM0,%XMM1

0x46f97f MOV	%R9,%R8

0x46f982 MOV	%RCX,%R9

0x46f985 MOV	%RDX,%RCX

0x46f988 MOV	%R11,%RDX

0x46f98b MOV	%RSI,%R11

0x46f98e MOV	0x10(%RSP),%RSI    [16]

0x46f993 ADDSD	(%RSI,%RBP,1),%XMM1    [6]

0x46f998 DIVSD	%XMM1,%XMM0

0x46f99c MOV	0x18(%RSP),%RSI    [16]

0x46f9a1 MOVSD	%XMM0,(%RSI,%RBP,1)    [5]

0x46f9a6 MOV	%R11,%RSI

0x46f9a9 MOV	%RDX,%R11

0x46f9ac MOV	%RCX,%RDX

0x46f9af MOV	%R9,%RCX

0x46f9b2 MOV	%R8,%R9

0x46f9b5 MOV	%RBX,%R8

0x46f9b8 MOV	%R15,%RBX

0x46f9bb MOV	%RDI,%R15

0x46f9be MOV	%R12,%RDI

0x46f9c1 MOV	0x1d8(%RSP),%R12    [16]

0x46f9c9 ADDSD	%XMM0,%XMM0

0x46f9cd MOVAPD	%XMM0,%XMM1

0x46f9d1 SUBSD	(%RDI,%RAX,8),%XMM1    [13]

0x46f9d6 MOVSD	%XMM1,(%RDI,%RAX,8)    [13]

0x46f9db MOVAPD	%XMM0,%XMM1

0x46f9df SUBSD	(%RBX,%R14,1),%XMM1    [7]

0x46f9e5 MOVSD	%XMM1,(%RBX,%R14,1)    [7]

0x46f9eb SUBSD	(%R15,%R14,1),%XMM0    [14]

0x46f9f1 MOVSD	%XMM0,(%R15,%R14,1)    [14]

0x46f9f7 ADD	%R12,%R14

0x46f9fa ADD	%R11,%RBP

0x46f9fd DEC	%R10

0x46fa00 JNE	46f8e0

  ***  This Panel is Intentionally Left Blank.  ***

It is due to a lack of debug symbols in the given object
(loop or function).

Coverage (%)	Name	Module
►87.11+	__kmp_invoke_microtask	libiomp5.so
○	__kmp_invoke_task_func	libiomp5.so
○	__kmp_launch_thread	libiomp5.so
○	_INTERNALea951ae6::__kmp_launc[...]	libiomp5.so
○	start_thread	libc.so.6
○	__GI___clone3	libc.so.6
►7.85+	__kmp_invoke_microtask	libiomp5.so
○	__kmp_invoke_task_func	libiomp5.so
○	__kmp_launch_thread	libiomp5.so
○	_INTERNALea951ae6::__kmp_launc[...]	libiomp5.so
►2.79+	__kmp_invoke_microtask	libiomp5.so
○	__kmp_invoke_task_func	libiomp5.so
○	__kmp_fork_call	libiomp5.so
○	__kmpc_fork_call	libiomp5.so
○	void Kripke::DispatchHelper<Kr[...]	exec
○	Kripke::Kernel::sweepSubdomain[...]	exec
○	Kripke::SweepSolver(Kripke::Co[...]	exec
○	Kripke::SteadyStateSolver(Krip[...]	exec
○	main	exec
○	__libc_start_call_main	libc.so.6
○	__libc_start_main	libc.so.6
○	_start	exec
►1.18+	__kmp_invoke_microtask	libiomp5.so
○	__kmp_invoke_task_func	libiomp5.so
○	__kmp_launch_thread	libiomp5.so
○	_INTERNALea951ae6::__kmp_launc[...]	libiomp5.so
○	start_thread	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	2.53
CQA speedup if fully vectorized	6.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.50
Bottlenecks	P10, P11,
Function	void Kripke::DispatchHelper::operator()(Kripke::LayoutT_DGZ, SweepSdom const&, Kripke::Core::DataStore&, Kripke::SdomId&) const [clone .extracted]
Source
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	12.00
CQA cycles if no scalar integer	12.00
CQA cycles if FP arith vectorized	4.75
CQA cycles if fully vectorized	2.00
Front-end cycles	8.00
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	6.50
P7 cycles	6.50
P8 cycles	6.50
P9 cycles	6.50
P10 cycles	5.50
P11 cycles	5.50
P12 cycles	5.50
P13 cycles	5.50
P14 cycles	2.00
P15 cycles	2.00
DIV/SQRT cycles	12.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	65.00
Nb uops	64.00
Nb loads	22.00
Nb stores	4.00
Nb stack references	8.00
FLOP/cycle	1.67
Nb FLOP add-sub	13.00
Nb FLOP mul	3.00
Nb FLOP fma	0.00
Nb FLOP div	4.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	17.33
Bytes prefetched	0.00
Bytes loaded	176.00
Bytes stored	32.00
Stride 0	1.00
Stride 1	0.00
Stride n	0.00
Stride unknown	3.00
Stride indirect	12.00
Vectorization ratio all	24.32
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	50.00
Vectorization ratio add_sub	30.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	33.33
Vectorization ratio other	40.00
Vector-efficiency ratio all	15.54
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	12.50
Vector-efficiency ratio mul	18.75
Vector-efficiency ratio add_sub	16.25
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	16.67
Vector-efficiency ratio other	17.50

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	2.53
CQA speedup if fully vectorized	6.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.50
Bottlenecks	P10, P11,
Function	void Kripke::DispatchHelper::operator()(Kripke::LayoutT_DGZ, SweepSdom const&, Kripke::Core::DataStore&, Kripke::SdomId&) const [clone .extracted]
Source
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	12.00
CQA cycles if no scalar integer	12.00
CQA cycles if FP arith vectorized	4.75
CQA cycles if fully vectorized	2.00
Front-end cycles	8.00
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	6.50
P7 cycles	6.50
P8 cycles	6.50
P9 cycles	6.50
P10 cycles	5.50
P11 cycles	5.50
P12 cycles	5.50
P13 cycles	5.50
P14 cycles	2.00
P15 cycles	2.00
DIV/SQRT cycles	12.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	65.00
Nb uops	64.00
Nb loads	22.00
Nb stores	4.00
Nb stack references	8.00
FLOP/cycle	1.67
Nb FLOP add-sub	13.00
Nb FLOP mul	3.00
Nb FLOP fma	0.00
Nb FLOP div	4.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	17.33
Bytes prefetched	0.00
Bytes loaded	176.00
Bytes stored	32.00
Stride 0	1.00
Stride 1	0.00
Stride n	0.00
Stride unknown	3.00
Stride indirect	12.00
Vectorization ratio all	24.32
Vectorization ratio load	0.00
Vectorization ratio store	0.00
Vectorization ratio mul	50.00
Vectorization ratio add_sub	30.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	33.33
Vectorization ratio other	40.00
Vector-efficiency ratio all	15.54
Vector-efficiency ratio load	12.50
Vector-efficiency ratio store	12.50
Vector-efficiency ratio mul	18.75
Vector-efficiency ratio add_sub	16.25
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	16.67
Vector-efficiency ratio other	17.50

Path /

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

Function	void Kripke::DispatchHelper::operator()(Kripke::LayoutT_DGZ, SweepSdom const&, Kripke::Core::DataStore&, Kripke::SdomId&) const [clone .extracted]
Source file and lines
Module	exec

gain
potential
hint
expert

Vectorization

Your loop is poorly vectorized. Only 15% of vector register length is used (average across all SSE/AVX instructions). By fully vectorizing your loop, you can lower the cost of an iteration from 12.00 to 2.00 cycles (6.00x speedup).

Details

24% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

0% of SSE/AVX loads are used in vector version.
0% of SSE/AVX stores are used in vector version.
30% of SSE/AVX addition or subtraction instructions are used in vector version.
50% of SSE/AVX multiply instructions are used in vector version.
33% of SSE/AVX divide and square root instructions are used in vector version.
40% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully vectorized loop can use their full power.

Workaround

Try another compiler or update/tune your current one
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA)

Execution units bottlenecks

Performance is limited by execution of divide and square root operations (the divide/square root unit is a bottleneck). By removing all these bottlenecks, you can lower the cost of an iteration from 12.00 to 8.00 cycles (1.50x speedup).

Workaround

Reduce the number of division or square root instructions:
- If denominator is constant over iterations, use reciprocal (replace x/y with x*(1/y)). Check precision impact.
Check whether you really need double precision. If not, switch to single precision to speedup execution

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 12.00 to 8.00 cycles (1.50x speedup).

FMA

Presence of both ADD/SUB and MUL operations.

Workaround

Pass to your compiler a micro-architecture specialization option:
- Please look into your compiler manual for march=native or equivalent
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: 3 occurrence(s)
Irregular (variable stride) or indirect: 12 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)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

Vector unaligned load/store instructions

Detected 3 suboptimal vector unaligned load/store instructions.

Details

MOVHPD: 3 occurrences►

Workaround

Pass to your compiler a micro-architecture specialization option:
- Please look into your compiler manual for march=native or equivalent
Use vector aligned instructions:
1. align your arrays on 64 bytes boundaries
2. inform your compiler that your arrays are vector aligned: read your compiler manual.

Type of elements and instruction set

10 SSE or AVX instructions are processing arithmetic or math operations on double precision FP elements in scalar mode (one at a time). 5 SSE or AVX instructions are processing arithmetic or math operations on double precision FP elements in vector mode (two 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:

13: addition or subtraction
3: multiply
4: divide

The binary loop is loading 176 bytes (22 double precision FP elements). The binary loop is storing 32 bytes (4 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.10 FP operations per loaded or stored byte.

General properties

nb instructions	65
nb uops	64
loop length	294
used x86 registers	16
used mmx registers	0
used xmm registers	4
used ymm registers	0
used zmm registers	0
nb stack references	8
ADD-SUB / MUL ratio	5.00

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	8.00 cycles
front end	8.00 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	6.50	6.50	6.50	6.50	5.50	5.50	5.50	5.50	2.00	2.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.50	6.50	6.50	6.50	5.50	5.50	5.50	5.50	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	12.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	8.00
Dispatch	6.50
DIV/SQRT	12.00
Data deps.	1.00
Overall L1	12.00

Vectorization ratios

INT

all	0%
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	0%

all	25%
load	0%
store	0%
mul	50%
add-sub	30%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	33%
other	50%

INT+FP

all	24%
load	0%
store	0%
mul	50%
add-sub	30%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	33%
other	40%

Vector efficiency ratios

INT

all	12%
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	12%

all	15%
load	12%
store	12%
mul	18%
add-sub	16%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	16%
other	18%

INT+FP

all	15%
load	12%
store	12%
mul	18%
add-sub	16%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	16%
other	17%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 12.00 cycles. At this rate:

5% of peak load performance is reached (14.67 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
2% of peak store performance is reached (2.67 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: 46f8e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOV 0x1e0(%RSP),%RAX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RSI,%RAX,8),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVSD (%RDX,%RAX,8),%XMM2	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVHPD (%R8,%RAX,8),%XMM2	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
ADDSD %XMM1,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOV 0x1f8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RCX,%R12,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOV 0x1e8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVHPD (%R13,%R12,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
ADDPD %XMM2,%XMM2	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
MOVSD (%RBX,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVHPD (%R15,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
DIVPD %XMM3,%XMM2	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	vect (25.0%)
MULPD %XMM2,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (25.0%)
DIVSD (%R9,%R14,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	13	4	scal (12.5%)
MOV 0x1f0(%RSP),%RAX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RDI,%RAX,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MULSD %XMM1,%XMM3	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	scal (12.5%)
MOV %RDI,%R12	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R15,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RBX,%R15	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R8,%RBX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x8(%RSP),%R8	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD (%R8,%RBP,1),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
UNPCKLPD %XMM1,%XMM3	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
UNPCKLPD %XMM2,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
UNPCKHPD %XMM2,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
ADDPD %XMM1,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
ADDPD %XMM3,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
UNPCKHPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
MOV %R9,%R8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RCX,%R9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDX,%RCX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R11,%RDX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RSI,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	scal (12.5%)
MOV 0x10(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD (%RSI,%RBP,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
DIVSD %XMM1,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	scal (12.5%)
MOV 0x18(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD %XMM0,(%RSI,%RBP,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
MOV %R11,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDX,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	scal (12.5%)
MOV %RCX,%RDX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R9,%RCX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R8,%R9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RBX,%R8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R15,%RBX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDI,%R15	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R12,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x1d8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD %XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
SUBSD (%RDI,%RAX,8),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM1,(%RDI,%RAX,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
SUBSD (%RBX,%R14,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM1,(%RBX,%R14,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
SUBSD (%R15,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM0,(%R15,%R14,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
ADD %R12,%R14	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 %R11,%RBP	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
DEC %R10	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 46f8e0 <_ZNK6Kripke14DispatchHelperINS_12ArchT_OpenMPEEclINS_11LayoutT_DGZE9SweepSdomJRNS_4Core9DataStoreERNS_6SdomIdEEEEvT_RKT0_DpOT1_.extracted+0x7f0>	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 Kripke::DispatchHelper::operator()(Kripke::LayoutT_DGZ, SweepSdom const&, Kripke::Core::DataStore&, Kripke::SdomId&) const [clone .extracted]
Source file and lines
Module	exec

gain
potential
hint
expert

Vectorization

Details

24% of SSE/AVX instructions are used in vector version (process two or more data elements in vector registers):

0% of SSE/AVX loads are used in vector version.
0% of SSE/AVX stores are used in vector version.
30% of SSE/AVX addition or subtraction instructions are used in vector version.
50% of SSE/AVX multiply instructions are used in vector version.
33% of SSE/AVX divide and square root instructions are used in vector version.
40% of SSE/AVX instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully vectorized loop can use their full power.

Workaround

Try another compiler or update/tune your current one
Remove inter-iterations dependences from your loop and make it unit-stride:
- If your arrays have 2 or more dimensions, check whether elements are accessed contiguously and, otherwise, try to permute loops accordingly
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA)

Execution units bottlenecks

Workaround

Reduce the number of division or square root instructions:
- If denominator is constant over iterations, use reciprocal (replace x/y with x*(1/y)). Check precision impact.
Check whether you really need double precision. If not, switch to single precision to speedup execution

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 12.00 to 8.00 cycles (1.50x speedup).

FMA

Presence of both ADD/SUB and MUL operations.

Workaround

Pass to your compiler a micro-architecture specialization option:
- Please look into your compiler manual for march=native or equivalent
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: 3 occurrence(s)
Irregular (variable stride) or indirect: 12 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)
Try to remove indirect accesses. If applicable, precompute elements out of the innermost loop.

Vector unaligned load/store instructions

Detected 3 suboptimal vector unaligned load/store instructions.

Details

MOVHPD: 3 occurrences►

Workaround

Pass to your compiler a micro-architecture specialization option:
- Please look into your compiler manual for march=native or equivalent
Use vector aligned instructions:
1. align your arrays on 64 bytes boundaries
2. inform your compiler that your arrays are vector aligned: read your compiler manual.

Type of elements and instruction set

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

The binary loop is composed of 20 FP arithmetical operations:

13: addition or subtraction
3: multiply
4: divide

The binary loop is loading 176 bytes (22 double precision FP elements). The binary loop is storing 32 bytes (4 double precision FP elements).

Arithmetic intensity

Arithmetic intensity is 0.10 FP operations per loaded or stored byte.

General properties

nb instructions	65
nb uops	64
loop length	294
used x86 registers	16
used mmx registers	0
used xmm registers	4
used ymm registers	0
used zmm registers	0
nb stack references	8
ADD-SUB / MUL ratio	5.00

Front-end

ASSUMED MACRO FUSION FIT IN UOP CACHE

micro-operation queue	8.00 cycles
front end	8.00 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	6.50	6.50	6.50	6.50	5.50	5.50	5.50	5.50	2.00	2.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.50	6.50	6.50	6.50	5.50	5.50	5.50	5.50	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	12.00
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	8.00
Dispatch	6.50
DIV/SQRT	12.00
Data deps.	1.00
Overall L1	12.00

Vectorization ratios

INT

all	0%
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	0%

all	25%
load	0%
store	0%
mul	50%
add-sub	30%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	33%
other	50%

INT+FP

all	24%
load	0%
store	0%
mul	50%
add-sub	30%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	33%
other	40%

Vector efficiency ratios

INT

all	12%
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	12%

all	15%
load	12%
store	12%
mul	18%
add-sub	16%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	16%
other	18%

INT+FP

all	15%
load	12%
store	12%
mul	18%
add-sub	16%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	16%
other	17%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 12.00 cycles. At this rate:

5% of peak load performance is reached (14.67 out of 256.00 bytes loaded per cycle (GB/s @ 1GHz))
2% of peak store performance is reached (2.67 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: 46f8e0

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	P15	Latency	Recip. throughput	Vectorization
MOV 0x1e0(%RSP),%RAX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RSI,%RAX,8),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVSD (%RDX,%RAX,8),%XMM2	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVHPD (%R8,%RAX,8),%XMM2	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
ADDSD %XMM1,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOV 0x1f8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RCX,%R12,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOV 0x1e8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVHPD (%R13,%R12,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
ADDPD %XMM2,%XMM2	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
MOVSD (%RBX,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MOVHPD (%R15,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.25	0	0	1	0.50	scal (12.5%)
DIVPD %XMM3,%XMM2	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	vect (25.0%)
MULPD %XMM2,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	vect (25.0%)
DIVSD (%R9,%R14,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0	0	13	4	scal (12.5%)
MOV 0x1f0(%RSP),%RAX	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD (%RDI,%RAX,8),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	1	0.50	scal (12.5%)
MULSD %XMM1,%XMM3	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	3	0.50	scal (12.5%)
MOV %RDI,%R12	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R15,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RBX,%R15	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R8,%RBX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x8(%RSP),%R8	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD (%R8,%RBP,1),%XMM3	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
UNPCKLPD %XMM1,%XMM3	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
UNPCKLPD %XMM2,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
UNPCKHPD %XMM2,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
ADDPD %XMM1,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
ADDPD %XMM3,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	vect (25.0%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
UNPCKHPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	1	0.25	scal (12.5%)
MOV %R9,%R8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RCX,%R9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDX,%RCX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R11,%RDX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RSI,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	scal (12.5%)
MOV 0x10(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD (%RSI,%RBP,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
DIVSD %XMM1,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	0	0	13	4	scal (12.5%)
MOV 0x18(%RSP),%RSI	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
MOVSD %XMM0,(%RSI,%RBP,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
MOV %R11,%RSI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDX,%R11	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	scal (12.5%)
MOV %RCX,%RDX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R9,%RCX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R8,%R9	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RBX,%R8	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R15,%RBX	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %RDI,%R15	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV %R12,%RDI	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	N/A
MOV 0x1d8(%RSP),%R12	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	3	0.25	N/A
ADDSD %XMM0,%XMM0	1	0	0	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
SUBSD (%RDI,%RAX,8),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM1,(%RDI,%RAX,8)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
MOVAPD %XMM0,%XMM1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.17	vect (25.0%)
SUBSD (%RBX,%R14,1),%XMM1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM1,(%RBX,%R14,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
SUBSD (%R15,%R14,1),%XMM0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0.50	0.50	0	0	2	0.50	scal (12.5%)
MOVSD %XMM0,(%R15,%R14,1)	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	1	0.50	scal (12.5%)
ADD %R12,%R14	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 %R11,%RBP	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
DEC %R10	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 46f8e0 <_ZNK6Kripke14DispatchHelperINS_12ArchT_OpenMPEEclINS_11LayoutT_DGZE9SweepSdomJRNS_4Core9DataStoreERNS_6SdomIdEEEEvT_RKT0_DpOT1_.extracted+0x7f0>	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

Workaround

Execution units bottlenecks

Workaround

Expensive FP math instructions/calls

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

Workaround

Execution units bottlenecks

Workaround

Expensive FP math instructions/calls

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