OV - exec - Loop 296

	Loop Id: 296	Module: exec	Source: PdV.cpp:72-83	Coverage: 6.17%

0x43deec LDR	Q23, [X21, X0]    [11]

0x43def0 LDR	Q5, [X7, X0]    [3]

0x43def4 LDR	Q21, [X20, X0]    [8]

0x43def8 LDR	Q20, [X6, X0]    [2]

0x43defc LDR	Q2, [X19, X0]    [26]

0x43df00 FADD	V3.2D, V23.2D, V5.2D

0x43df04 LDR	Q1, [X5, X0]    [1]

0x43df08 LDR	Q0, [X18, X0]    [25]

0x43df0c FADD	V4.2D, V21.2D, V20.2D

0x43df10 LDR	Q19, [X4, X0]    [27]

0x43df14 LDR	Q16, [X10, X0]    [7]

0x43df18 FADD	V17.2D, V2.2D, V1.2D

0x43df1c LDR	Q7, [X11, X0]    [10]

0x43df20 FADD	V31.2D, V3.2D, V4.2D

0x43df24 LDR	Q6, [X8, X0]    [5]

0x43df28 FADD	V18.2D, V0.2D, V19.2D

0x43df2c LDR	Q24, [X9, X0]    [6]

0x43df30 LDR	Q27, [X24, X0]    [16]

0x43df34 FADD	V22.2D, V16.2D, V7.2D

0x43df38 LDR	Q26, [X25, X0]    [18]

0x43df3c FADD	V23.2D, V17.2D, V18.2D

0x43df40 LDR	Q28, [X22, X0]    [13]

0x43df44 FADD	V5.2D, V6.2D, V24.2D

0x43df48 LDR	Q21, [X23, X0]    [14]

0x43df4c LDR	Q2, [X17, X0]    [22]

0x43df50 FADD	V20.2D, V27.2D, V26.2D

0x43df54 LDR	Q25, [X30, X0]    [9]

0x43df58 FADD	V1.2D, V22.2D, V5.2D

0x43df5c FADD	V3.2D, V28.2D, V21.2D

0x43df60 LDR	Q0, [X12, X0]    [12]

0x43df64 LDR	Q4, [X26, X0]    [20]

0x43df68 FMUL	V19.2D, V31.2D, V2.2D

0x43df6c FMUL	V16.2D, V23.2D, V25.2D

0x43df70 LDR	Q7, [X15, X0]    [17]

0x43df74 FADD	V31.2D, V20.2D, V3.2D

0x43df78 LDR	Q6, [X16, X0]    [19]

0x43df7c FMLA	V19.2D, V1.2D, V0.2D

0x43df80 LDR	Q24, [X2, X0]    [24]

0x43df84 LDR	Q17, [X27, X0]    [23]

0x43df88 FMLA	V16.2D, V31.2D, V4.2D

0x43df8c LDR	Q27, [X14, X0]    [15]

0x43df90 FADD	V22.2D, V7.2D, V6.2D

0x43df94 FSUB	V18.2D, V16.2D, V19.2D

0x43df98 FDIV	V26.2D, V22.2D, V24.2D

0x43df9c FDIV	V23.2D, V26.2D, V17.2D

0x43dfa0 FMUL	V28.2D, V18.2D, V29.2D

0x43dfa4 FMLS	V27.2D, V23.2D, V28.2D

0x43dfa8 FADD	V5.2D, V17.2D, V28.2D

0x43dfac STR	Q27, [X13, X0]    [4]

0x43dfb0 FDIV	V21.2D, V17.2D, V5.2D

0x43dfb4 LDR	Q20, [X2, X0]    [24]

0x43dfb8 FMUL	V2.2D, V20.2D, V21.2D

0x43dfbc STR	Q2, [X1, X0]    [21]

0x43dfc0 ADD	X0, X0, #16

0x43dfc4 CMP	X0, X3

0x43dfc8 B.NE	43deec

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/PdV.cpp: 72 - 83

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

72:         double left_flux = (xarea(i, j) * (xvel0(i, j) + xvel0(i + 0, j + 1) + xvel1(i, j) + xvel1(i + 0, j + 1))) * 0.25 * dt;

73:         double right_flux =

74:             (xarea(i + 1, j + 0) * (xvel0(i + 1, j + 0) + xvel0(i + 1, j + 1) + xvel1(i + 1, j + 0) + xvel1(i + 1, j + 1))) * 0.25 * dt;

75:         double bottom_flux = (yarea(i, j) * (yvel0(i, j) + yvel0(i + 1, j + 0) + yvel1(i, j) + yvel1(i + 1, j + 0))) * 0.25 * dt;

76:         double top_flux =

77:             (yarea(i + 0, j + 1) * (yvel0(i + 0, j + 1) + yvel0(i + 1, j + 1) + yvel1(i + 0, j + 1) + yvel1(i + 1, j + 1))) * 0.25 * dt;

78:         double total_flux = right_flux - left_flux + top_flux - bottom_flux;

79:         double volume_change_s = volume(i, j) / (volume(i, j) + total_flux);

80:         double recip_volume = 1.0 / volume(i, j);

81:         double energy_change = (pressure(i, j) / density0(i, j) + viscosity(i, j) / density0(i, j)) * total_flux * recip_volume;

82:         energy1(i, j) = energy0(i, j) - energy_change;

83:         density1(i, j) = density0(i, j) * volume_change_s;

Coverage (%)	Name	Source Location	Module
►100.00+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►50.12+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►49.88+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►75.13+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►24.87+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►87.39+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►12.61+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►92.82+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►7.18+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►95.72+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►4.28+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►96.83+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►3.17+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►97.46+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►2.54+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►97.89+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►2.11+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►98.19+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►1.81+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

Coverage (%)	Name	Source Location	Module
►98.43+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►1.57+	GOMP_parallel		libgomp.so.1.0.0
○	PdV(global_variables&, bool)	PdV.cpp:99	exec
○	hydro(global_variables&, paral[...]	basic_string.h:1076	exec
○	main	clover_leaf.cpp:209	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	exec

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	1.12 - 2.25
Bottlenecks	P6, P8,
Function	PdV_kernel(bool, int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.1]
Source	PdV.cpp:72-83
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	10.49 - 20.98
CQA cycles if no scalar integer	10.49 - 20.98
CQA cycles if FP arith vectorized	10.49 - 20.98
CQA cycles if fully vectorized	10.49 - 20.98
Front-end cycles	7.00
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	6.75
P7 cycles	6.75
P8 cycles	6.75
P9 cycles	6.75
P10 cycles	9.33
P11 cycles	9.33
P12 cycles	9.33
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	10.49 - 20.98
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	56.00
Nb uops	56.00
Nb loads	NA
Nb stores	2.00
Nb stack references	0.00
FLOP/cycle	5.34 - 2.67
Nb FLOP add-sub	30.00
Nb FLOP mul	8.00
Nb FLOP fma	6.00
Nb FLOP div	6.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
Stride 0	0.00
Stride 1	0.00
Stride n	27.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	NA
Vector-efficiency ratio all	50.00
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	50.00
Vector-efficiency ratio mul	50.00
Vector-efficiency ratio add_sub	50.00
Vector-efficiency ratio fma	50.00
Vector-efficiency ratio div_sqrt	50.00
Vector-efficiency ratio other	NA

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	1.12 - 2.25
Bottlenecks	P6, P8,
Function	PdV_kernel(bool, int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.1]
Source	PdV.cpp:72-83
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	10.49 - 20.98
CQA cycles if no scalar integer	10.49 - 20.98
CQA cycles if FP arith vectorized	10.49 - 20.98
CQA cycles if fully vectorized	10.49 - 20.98
Front-end cycles	7.00
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	6.75
P7 cycles	6.75
P8 cycles	6.75
P9 cycles	6.75
P10 cycles	9.33
P11 cycles	9.33
P12 cycles	9.33
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	10.49 - 20.98
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	56.00
Nb uops	56.00
Nb loads	NA
Nb stores	2.00
Nb stack references	0.00
FLOP/cycle	5.34 - 2.67
Nb FLOP add-sub	30.00
Nb FLOP mul	8.00
Nb FLOP fma	6.00
Nb FLOP div	6.00
Nb FLOP rcp	0.00
Nb FLOP sqrt	0.00
Nb FLOP rsqrt	0.00
Bytes/cycle	0.00
Bytes prefetched	0.00
Bytes loaded	0.00
Bytes stored	0.00
Stride 0	0.00
Stride 1	0.00
Stride n	27.00
Stride unknown	0.00
Stride indirect	0.00
Vectorization ratio all	100.00
Vectorization ratio load	100.00
Vectorization ratio store	100.00
Vectorization ratio mul	100.00
Vectorization ratio add_sub	100.00
Vectorization ratio fma	100.00
Vectorization ratio div_sqrt	100.00
Vectorization ratio other	NA
Vector-efficiency ratio all	50.00
Vector-efficiency ratio load	50.00
Vector-efficiency ratio store	50.00
Vector-efficiency ratio mul	50.00
Vector-efficiency ratio add_sub	50.00
Vector-efficiency ratio fma	50.00
Vector-efficiency ratio div_sqrt	50.00
Vector-efficiency ratio other	NA

Path /

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

Function	PdV_kernel(bool, int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.1]
Source file and lines	PdV.cpp:72-83
Module	exec

The loop is defined in /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/PdV.cpp:72-83.

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

gain
potential
hint
expert

Vectorization

Your loop is vectorized, but using only 128 out of 256 bits (SSE/AVX-128 instructions on AVX/AVX2 processors).

Details

All VPU instructions are used in vector version (process two or more data elements in vector registers).

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 20.98 to 9.33 cycles (2.25x speedup).

FMA

Detected 6 FMA (fused multiply-add) operations. 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 non-unit stride: 27 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 56 FP arithmetical operations:

36: addition or subtraction (6 inside FMA instructions)
14: multiply (6 inside FMA instructions)
6: divide

The binary loop does not load or store any data.

General properties

nb instructions	56
nb uops	56
loop length	224
used w registers	0
used x registers	29
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	18
used v registers	23
used z registers	0
nb stack references	0
ADD-SUB / MUL ratio	3.75

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	7.00 cycles
front end	7.00 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	0.50	0.50	0.50	6.75	6.75	6.75	6.75	9.33	9.33	9.33	0.00	0.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	9.33	9.33	9.33	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	10.49-20.98
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	7.00
Dispatch	9.33
DIV/SQRT	10.49-20.98
Data deps.	1.00
Overall L1	10.49-20.98

Vectorization 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	NA (no other vectorizable/vectorized instructions)

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

INT+FP

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

Vector efficiency ratios

INT

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

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

INT+FP

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 20.98 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 43deec

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDR Q23, [X21, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q5, [X7, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q21, [X20, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q20, [X6, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q2, [X19, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V3.2D, V23.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q1, [X5, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q0, [X18, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V4.2D, V21.2D, V20.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q19, [X4, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q16, [X10, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V17.2D, V2.2D, V1.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q7, [X11, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V31.2D, V3.2D, V4.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q6, [X8, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V18.2D, V0.2D, V19.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q24, [X9, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q27, [X24, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V22.2D, V16.2D, V7.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q26, [X25, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V23.2D, V17.2D, V18.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q28, [X22, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V5.2D, V6.2D, V24.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q21, [X23, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q2, [X17, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V20.2D, V27.2D, V26.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q25, [X30, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V1.2D, V22.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FADD V3.2D, V28.2D, V21.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q0, [X12, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q4, [X26, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMUL V19.2D, V31.2D, V2.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
FMUL V16.2D, V23.2D, V25.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
LDR Q7, [X15, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V31.2D, V20.2D, V3.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q6, [X16, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMLA V19.2D, V1.2D, V0.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
LDR Q24, [X2, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q17, [X27, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMLA V16.2D, V31.2D, V4.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
LDR Q27, [X14, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V22.2D, V7.2D, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FSUB V18.2D, V16.2D, V19.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FDIV V26.2D, V22.2D, V24.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
FDIV V23.2D, V26.2D, V17.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
FMUL V28.2D, V18.2D, V29.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
FMLS V27.2D, V23.2D, V28.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
FADD V5.2D, V17.2D, V28.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
STR Q27, [X13, X0]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (50.0%)
FDIV V21.2D, V17.2D, V5.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
LDR Q20, [X2, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMUL V2.2D, V20.2D, V21.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
STR Q2, [X1, X0]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (50.0%)
ADD X0, X0, #16	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
CMP X0, X3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.33	N/A
B.NE 43deec <_Z10PdV_kernelbiiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.1+0x3c8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	PdV_kernel(bool, int, int, int, int, double, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.1]
Source file and lines	PdV.cpp:72-83
Module	exec

gain
potential
hint
expert

Vectorization

Your loop is vectorized, but using only 128 out of 256 bits (SSE/AVX-128 instructions on AVX/AVX2 processors).

Details

All VPU instructions are used in vector version (process two or more data elements in vector registers).

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 20.98 to 9.33 cycles (2.25x speedup).

FMA

Detected 6 FMA (fused multiply-add) operations. 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 non-unit stride: 27 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 56 FP arithmetical operations:

36: addition or subtraction (6 inside FMA instructions)
14: multiply (6 inside FMA instructions)
6: divide

The binary loop does not load or store any data.

General properties

nb instructions	56
nb uops	56
loop length	224
used w registers	0
used x registers	29
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	18
used v registers	23
used z registers	0
nb stack references	0
ADD-SUB / MUL ratio	3.75

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	7.00 cycles
front end	7.00 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	0.50	0.50	0.50	6.75	6.75	6.75	6.75	9.33	9.33	9.33	0.00	0.00
cycles	0.50	0.50	0.50	0.50	0.50	0.50	6.75	6.75	6.75	6.75	9.33	9.33	9.33	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	10.49-20.98
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	7.00
Dispatch	9.33
DIV/SQRT	10.49-20.98
Data deps.	1.00
Overall L1	10.49-20.98

Vectorization 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	NA (no other vectorizable/vectorized instructions)

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

INT+FP

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

Vector efficiency ratios

INT

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

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

INT+FP

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 20.98 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 43deec

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDR Q23, [X21, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q5, [X7, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q21, [X20, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q20, [X6, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q2, [X19, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V3.2D, V23.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q1, [X5, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q0, [X18, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V4.2D, V21.2D, V20.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q19, [X4, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q16, [X10, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V17.2D, V2.2D, V1.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q7, [X11, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V31.2D, V3.2D, V4.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q6, [X8, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V18.2D, V0.2D, V19.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q24, [X9, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q27, [X24, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V22.2D, V16.2D, V7.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q26, [X25, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V23.2D, V17.2D, V18.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q28, [X22, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V5.2D, V6.2D, V24.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q21, [X23, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q2, [X17, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V20.2D, V27.2D, V26.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q25, [X30, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V1.2D, V22.2D, V5.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FADD V3.2D, V28.2D, V21.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q0, [X12, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q4, [X26, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMUL V19.2D, V31.2D, V2.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
FMUL V16.2D, V23.2D, V25.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
LDR Q7, [X15, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V31.2D, V20.2D, V3.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
LDR Q6, [X16, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMLA V19.2D, V1.2D, V0.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
LDR Q24, [X2, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
LDR Q17, [X27, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMLA V16.2D, V31.2D, V4.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
LDR Q27, [X14, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FADD V22.2D, V7.2D, V6.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FSUB V18.2D, V16.2D, V19.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
FDIV V26.2D, V22.2D, V24.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
FDIV V23.2D, V26.2D, V17.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
FMUL V28.2D, V18.2D, V29.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
FMLS V27.2D, V23.2D, V28.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	4	0.25	vect (50.0%)
FADD V5.2D, V17.2D, V28.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	2	0.25	vect (50.0%)
STR Q27, [X13, X0]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (50.0%)
FDIV V21.2D, V17.2D, V5.2D	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	7-15	3.50-6.99	vect (50.0%)
LDR Q20, [X2, X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	6	0.33	vect (50.0%)
FMUL V2.2D, V20.2D, V21.2D	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	3	0.25	vect (50.0%)
STR Q2, [X1, X0]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	2	0.50	vect (50.0%)
ADD X0, X0, #16	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.25	N/A
CMP X0, X3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	1	0.33	N/A
B.NE 43deec <_Z10PdV_kernelbiiiidRN6clover8Buffer2DIdEES2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_S2_._omp_fn.1+0x3c8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_NUM_THREADS: 1OMP_PLACES: threads
Run 1x2	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 2OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x4	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 4OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x8	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 8OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x16	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 16OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x24	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 24OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x32	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 32OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x40	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 40OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x48	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 48OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x56	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 56OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads
Run 1x64	Number processes: 1Run Command: <executable>MPI Command: mpirun -n <number_processes> --bind-to core --map-by package:PE=64 --rank-by fill --report-bindings Dataset: Run Directory: /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 64OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads

(1x1) Efficiency	(1x1) Potential Speed-Up (%)	(1x2) Efficiency	(1x2) Potential Speed-Up (%)	(1x4) Efficiency	(1x4) Potential Speed-Up (%)	(1x8) Efficiency	(1x8) Potential Speed-Up (%)	(1x16) Efficiency	(1x16) Potential Speed-Up (%)	(1x24) Efficiency	(1x24) Potential Speed-Up (%)	(1x32) Efficiency	(1x32) Potential Speed-Up (%)	(1x40) Efficiency	(1x40) Potential Speed-Up (%)	(1x48) Efficiency	(1x48) Potential Speed-Up (%)	(1x56) Efficiency	(1x56) Potential Speed-Up (%)	(1x64) Efficiency	(1x64) Potential Speed-Up (%)
1	0	0.99	0.04	0.99	0.09	0.91	0.51	0.48	3.65	0.29	6.09	0.23	6.65	0.2	6.91	0.17	7.08	0.14	7.2	0.13	7.29

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x1	1	1	1	1	91.740005493164	6.1723337173462
1x2	2	0.99	1.99	2	46.110004425049	6.1535477638245
1x4	4	0.99	3.94	4	23.140003204346	6.0702433586121
1x8	8	0.91	7.3	8	12.484999656677	5.7931203842163
1x16	16	0.48	7.73	16	12.990000724792	7.055980682373
1x24	24	0.29	6.86	24	13.289998054504	8.5233325958252
1x32	32	0.23	7.36	32	12.309999465942	8.6313972473145
1x40	40	0.2	7.81	40	11.579999923706	8.5845756530762
1x48	48	0.17	8.02	48	11.245001792908	8.4959163665771
1x56	56	0.14	8.11	56	11.105000495911	8.420503616333
1x64	64	0.13	8.16	64	11.045002937317	8.3594732284546

Report Configuration

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

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

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

▶Scalability Runs Description

▼Columns Filter

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency