OV - exec - Loop 1083

	Loop Id: 1083	Module: exec	Source: For.hpp:142-142 [...]	Coverage: 0.01%

0x458860 ADD	X13, X13, #1

0x458864 CMP	X13, X10

0x458868 B.EQ	458800

0x45886c ADD	X1, X13, X23

0x458870 ORR	X18, XZR, XZR

0x458874 ADD	X0, X15, X1,LSL #3

0x458878 MUL	X1, X1, X20

0x45887c ADD	X1, X16, X1,LSL #3

0x458880 B	4588a4

  (1084) 0x458884 MOVI	D0, #0

  (1084) 0x458888 LDR	D1, [X1, X2,LSL #3]

  (1084) 0x45888c LDR	D2, [X17, X2,LSL #3]

  (1084) 0x458890 ADD	X18, X18, #1

  (1084) 0x458894 CMP	X18, X11

  (1084) 0x458898 FMADD	D0, D1, D0, D2

  (1084) 0x45889c STR	D0, [X17, X2,LSL #3]

  (1084) 0x4588a0 B.EQ	458860

  (1084) 0x4588a4 ADD	X2, X18, X24

  (1084) 0x4588a8 LDRSW	X4, [X28, X2,LSL #2]

  (1084) 0x4588ac CMP	W4, #1

  (1084) 0x4588b0 B.LT	458884

  (1084) 0x4588b4 LDR	X5, [X25, X14,LSL #3]

  (1084) 0x4588b8 LDR	X3, [X27, X2,LSL #3]

  (1084) 0x4588bc MOVI	D0, #0

  (1084) 0x4588c0 MUL	X5, X5, X26

  (1084) 0x4588c4 ADD	X4, X3, X4

  (1084) 0x4588c8 ADD	X5, X0, X5,LSL #3

    (1085) 0x4588cc LDR	X6, [X19, X3,LSL #3]

    (1085) 0x4588d0 LDR	D1, [X21, X3,LSL #3]

    (1085) 0x4588d4 ADD	X3, X3, #1

    (1085) 0x4588d8 CMP	X3, X4

    (1085) 0x4588dc MUL	X6, X6, X22

    (1085) 0x4588e0 LDR	D2, [X5, X6,LSL #3]

    (1085) 0x4588e4 FMADD	D0, D2, D1, D0

    (1085) 0x4588e8 B.LT	4588cc

  (1084) 0x4588ec B	458888

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Scattering.cpp: 82 - 97

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

82:             Legendre n = moment_to_legendre(nm);

[...]

88:             MixElem mix_stop = mix_start + zone_to_num_mixelem(z);

89:

90:             double sigs_z = 0.0;

91:             for(MixElem mix = mix_start;mix < mix_stop;++ mix){

92:               Material mat = mixelem_to_material(mix);

93:               double fraction = mixelem_to_fraction(mix);

94:

95:               sigs_z += sigs(mat, n, global_g, global_gp) * fraction;

96:             }

97:             phi_out(nm, g, z) += sigs_z * phi(nm, gp, z);

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/Layout.hpp: 191 - 191

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

191:                             strides[RangeInts] * indices  // it's not stride one

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/pattern/kernel/For.hpp: 142 - 142

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

142:     for (decltype(distance_it) i = 0; i < distance_it; ++i)

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/internal/Iterators.hpp: 291 - 291

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

291:     return value_type(val + rhs);

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/index/IndexValue.hpp: 87 - 87

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

87:     value++;

Coverage (%)	Name	Source Location	Module
►100.00+	__kmp_invoke_microtask		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Source Location	Module
►57.45+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec
►42.55+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6

Coverage (%)	Name	Source Location	Module
►75.86+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►24.14+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Source Location	Module
►87.50+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►12.50+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Source Location	Module
►89.86+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►10.14+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Module
►100.00+	__kmp_invoke_microtask	libomp.so
○	__kmp_invoke_task_func	libomp.so
○	__kmp_launch_thread	libomp.so
○	__kmp_launch_worker(void*)	libomp.so
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Source Location	Module
►96.70+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►3.30+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Module
►100.00+	__kmp_invoke_microtask	libomp.so
○	__kmp_invoke_task_func	libomp.so
○	__kmp_launch_thread	libomp.so
○	__kmp_launch_worker(void*)	libomp.so
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Source Location	Module
►95.06+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►4.94+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	exec

Coverage (%)	Name	Module
►100.00+	__kmp_invoke_microtask	libomp.so
○	__kmp_invoke_task_func	libomp.so
○	__kmp_launch_thread	libomp.so
○	__kmp_launch_worker(void*)	libomp.so
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Source Location	Module
►97.50+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►2.50+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	void Kripke::DispatchHelper<Kr[...]	plugins.hpp:66	exec
○	auto Kripke::dispatch<Scatteri[...]	ArchLayout.h:206	exec
○	Kripke::Kernel::scattering(Kri[...]	ArchLayout.h:172	exec
○	Kripke::SteadyStateSolver(Krip[...]	SteadyStateSolver.cpp:68	exec
○	main	kripke.cpp:509	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	LPlusTimes.cpp:0	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	4.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.56
Bottlenecks	P2, P3, P4, P5,
Function	std::enable_if, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>::type>::type> > >::value, void>::type RAJA::internal::StatementExecutor, RAJA::statement::For<2l, RAJA::policy::sequential::seq_exec, RAJA::statement::For<3l, RAJA::policy::sequential::seq_exec, RAJA::statement::Lambda<0l> > > >, RAJA::internal::LoopTypes, camp::list > >::exec, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>(RAJA::internal::LoopData, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&) [clone .omp_outlined]
Source	For.hpp:142-142
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	1.75
CQA cycles if no scalar integer	1.75
CQA cycles if FP arith vectorized	1.75
CQA cycles if fully vectorized	0.44
Front-end cycles	1.13
P0 cycles	1.00
P1 cycles	1.00
P2 cycles	1.75
P3 cycles	1.75
P4 cycles	1.75
P5 cycles	1.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	9.00
Nb uops	9.00
Nb loads	NA
Nb stores	0.00
Nb stack references	0.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
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	0.00
Stride unknown	3.00
Stride indirect	0.00
Vectorization ratio all	0.00
Vectorization ratio load	NA
Vectorization ratio store	NA
Vectorization ratio mul	NA
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.00
Vector-efficiency ratio load	NA
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	25.00

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	4.00
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.56
Bottlenecks	P2, P3, P4, P5,
Function	std::enable_if, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>::type>::type> > >::value, void>::type RAJA::internal::StatementExecutor, RAJA::statement::For<2l, RAJA::policy::sequential::seq_exec, RAJA::statement::For<3l, RAJA::policy::sequential::seq_exec, RAJA::statement::Lambda<0l> > > >, RAJA::internal::LoopTypes, camp::list > >::exec, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>(RAJA::internal::LoopData, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&) [clone .omp_outlined]
Source	For.hpp:142-142
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	1.75
CQA cycles if no scalar integer	1.75
CQA cycles if FP arith vectorized	1.75
CQA cycles if fully vectorized	0.44
Front-end cycles	1.13
P0 cycles	1.00
P1 cycles	1.00
P2 cycles	1.75
P3 cycles	1.75
P4 cycles	1.75
P5 cycles	1.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	0.00
P11 cycles	0.00
P12 cycles	0.00
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	1
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	9.00
Nb uops	9.00
Nb loads	NA
Nb stores	0.00
Nb stack references	0.00
FLOP/cycle	0.00
Nb FLOP add-sub	0.00
Nb FLOP mul	0.00
Nb FLOP fma	0.00
Nb FLOP div	0.00
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	0.00
Stride unknown	3.00
Stride indirect	0.00
Vectorization ratio all	0.00
Vectorization ratio load	NA
Vectorization ratio store	NA
Vectorization ratio mul	NA
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.00
Vector-efficiency ratio load	NA
Vector-efficiency ratio store	NA
Vector-efficiency ratio mul	NA
Vector-efficiency ratio add_sub	25.00
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	25.00

Path /

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

Function	std::enable_if, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>::type>::type> > >::value, void>::type RAJA::internal::StatementExecutor, RAJA::statement::For<2l, RAJA::policy::sequential::seq_exec, RAJA::statement::For<3l, RAJA::policy::sequential::seq_exec, RAJA::statement::Lambda<0l> > > >, RAJA::internal::LoopTypes, camp::list > >::exec, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>(RAJA::internal::LoopData, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&) [clone .omp_outlined]
Source file and lines	For.hpp:142-142
Module	exec

The loop is defined in:

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Scattering.cpp:82,88-97
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/Layout.hpp:191
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/pattern/kernel/For.hpp:142
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/internal/Iterators.hpp:291
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/index/IndexValue.hpp:87

Analyzed code is defined in /home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/pattern/kernel/For.hpp:142.

Warnings:
Non-innermost loop: analyzing only self part (ignoring child loops).
The structure of this loop is probably <if then [else] end>.

The presence of multiple execution paths is typically the main/first bottleneck.
Try to simplify control inside loop: ideally, try to remove all conditional expressions, for example by (if applicable):

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

gain
potential
hint
expert

Vectorization

Your loop is not vectorized. 4 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 1.75 to 0.44 cycles (4.00x speedup).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized 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: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

No data for this section

Slow data structures access

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

Details

Constant unknown stride: 3 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 does not contain any FP arithmetical operations. The binary loop does not load or store any data.

General properties

nb instructions	9
nb uops	9
loop length	36
used w registers	0
used x registers	10
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	0

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	1.13 cycles
front end	1.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
cycles	1.00	1.00	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	1.13
Dispatch	1.75
Data deps.	1.00
Overall L1	1.75

Vectorization ratios

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	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Vector efficiency ratios

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 1.75 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 45886c

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	Latency	Recip. throughput	Vectorization
ADD X13, X13, #1	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
CMP X13, X10	1	0	0	0.25	0.25	0.25	0.25	1	0.33	scal (25.0%)
B.EQ 458800 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_3ForILl2ENS_6policy10sequential8seq_execEJNS8_ILl3ESB_JNS2_6LambdaILl0EJEEEEEEEEEEEENS0_9LoopTypesINS5_4listIJvvvvEEESJ_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke6MomentElPST_EElEENSP_INSR_INSS_5GroupElPSX_EElEES10_NSP_INSR_INSS_4ZoneElPS11_EElEEEEENSO_IJEEENS5_9resources2v14HostEJZNK14ScatteringSdomclINSS_11ArchLayoutTINSS_12ArchT_OpenMPENSS_11LayoutT_DGZEEEEEvT_NSS_6SdomIdES1H_RKNSS_4Core3SetES1L_S1L_RNS1I_5FieldIdJST_SX_S11_EEES1O_RNS1M_IdJNSS_8MaterialENSS_8LegendreENSS_11GlobalGroupES1R_EEERNS1M_INSS_7MixElemEJS11_EEERNS1M_IiJS11_EEERNS1M_IS1P_JS1U_EEERNS1M_IdJS1U_EEERNS1M_IS1Q_JST_EEEEUlST_SX_SX_S11_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS2D_3ref5rem_sIS1G_E4typeEE4typeEEEEEEE5valueEvE4typeEOS1G_.omp_outlined+0x170>	1	0.50	0.50	0	0	0	0	1	0.50	N/A
ADD X1, X13, X23	1	0	0	0.25	0.25	0.25	0.25	1	0.25	N/A
ORR X18, XZR, XZR	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
ADD X0, X15, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
MUL X1, X1, X20	1	0	0	0	0	0.50	0.50	2	0.50	N/A
ADD X1, X16, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	1	0.25	N/A
B 4588a4 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_3ForILl2ENS_6policy10sequential8seq_execEJNS8_ILl3ESB_JNS2_6LambdaILl0EJEEEEEEEEEEEENS0_9LoopTypesINS5_4listIJvvvvEEESJ_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke6MomentElPST_EElEENSP_INSR_INSS_5GroupElPSX_EElEES10_NSP_INSR_INSS_4ZoneElPS11_EElEEEEENSO_IJEEENS5_9resources2v14HostEJZNK14ScatteringSdomclINSS_11ArchLayoutTINSS_12ArchT_OpenMPENSS_11LayoutT_DGZEEEEEvT_NSS_6SdomIdES1H_RKNSS_4Core3SetES1L_S1L_RNS1I_5FieldIdJST_SX_S11_EEES1O_RNS1M_IdJNSS_8MaterialENSS_8LegendreENSS_11GlobalGroupES1R_EEERNS1M_INSS_7MixElemEJS11_EEERNS1M_IiJS11_EEERNS1M_IS1P_JS1U_EEERNS1M_IdJS1U_EEERNS1M_IS1Q_JST_EEEEUlST_SX_SX_S11_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS2D_3ref5rem_sIS1G_E4typeEE4typeEEEEEEE5valueEvE4typeEOS1G_.omp_outlined+0x214>	1	0.50	0.50	0	0	0	0	1	0.50	N/A

Function	std::enable_if, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>::type>::type> > >::value, void>::type RAJA::internal::StatementExecutor, RAJA::statement::For<2l, RAJA::policy::sequential::seq_exec, RAJA::statement::For<3l, RAJA::policy::sequential::seq_exec, RAJA::statement::Lambda<0l> > > >, RAJA::internal::LoopTypes, camp::list > >::exec, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&>(RAJA::internal::LoopData, long>, RAJA::Span, long>, RAJA::Span, long>, RAJA::Span, long> >, camp::tuple<>, camp::resources::v1::Host, ScatteringSdom::operator() >(Kripke::ArchLayoutT, Kripke::SdomId, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&, Kripke::Core::Field&) const::{lambda(Kripke::Moment, Kripke::Group, Kripke::Group, Kripke::Zone)#1}>&) [clone .omp_outlined]
Source file and lines	For.hpp:142-142
Module	exec

The loop is defined in:

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Scattering.cpp:82,88-97
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/Layout.hpp:191
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/pattern/kernel/For.hpp:142
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/internal/Iterators.hpp:291
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/index/IndexValue.hpp:87

hoisting them (moving them outside the loop)
turning them into conditional moves, MIN or MAX

Ex: if (x<0) x=0 => x = (x<0 ? 0 : x) (or MAX(0,x) after defining the corresponding macro)

gain
potential
hint
expert

Vectorization

Your loop is not vectorized. 4 data elements could be processed at once in vector registers. By vectorizing your loop, you can lower the cost of an iteration from 1.75 to 0.44 cycles (4.00x speedup).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers). Since your execution units are vector units, only a vectorized 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: C storage order is row-major: for(i) for(j) a[j][i] = b[j][i]; (slow, non stride 1) => for(i) for(j) a[i][j] = b[i][j]; (fast, stride 1)
- If your loop streams arrays of structures (AoS), try to use structures of arrays instead (SoA): for(i) a[i].x = b[i].x; (slow, non stride 1) => for(i) a.x[i] = b.x[i]; (fast, stride 1)

No data for this section

Slow data structures access

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

Details

Constant unknown stride: 3 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 does not contain any FP arithmetical operations. The binary loop does not load or store any data.

General properties

nb instructions	9
nb uops	9
loop length	36
used w registers	0
used x registers	10
used b registers	0
used h registers	0
used s registers	0
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	0

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	1.13 cycles
front end	1.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
cycles	1.00	1.00	1.75	1.75	1.75	1.75	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Execution ports to units layout:

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

Cycles executing div or sqrt instructions	NA
Longest recurrence chain latency (RecMII)	1.00

Cycles summary

Front-end	1.13
Dispatch	1.75
Data deps.	1.00
Overall L1	1.75

Vectorization ratios

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	0%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	0%

Vector efficiency ratios

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

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 1.75 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 45886c

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	Latency	Recip. throughput	Vectorization
ADD X13, X13, #1	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
CMP X13, X10	1	0	0	0.25	0.25	0.25	0.25	1	0.33	scal (25.0%)
B.EQ 458800 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_3ForILl2ENS_6policy10sequential8seq_execEJNS8_ILl3ESB_JNS2_6LambdaILl0EJEEEEEEEEEEEENS0_9LoopTypesINS5_4listIJvvvvEEESJ_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke6MomentElPST_EElEENSP_INSR_INSS_5GroupElPSX_EElEES10_NSP_INSR_INSS_4ZoneElPS11_EElEEEEENSO_IJEEENS5_9resources2v14HostEJZNK14ScatteringSdomclINSS_11ArchLayoutTINSS_12ArchT_OpenMPENSS_11LayoutT_DGZEEEEEvT_NSS_6SdomIdES1H_RKNSS_4Core3SetES1L_S1L_RNS1I_5FieldIdJST_SX_S11_EEES1O_RNS1M_IdJNSS_8MaterialENSS_8LegendreENSS_11GlobalGroupES1R_EEERNS1M_INSS_7MixElemEJS11_EEERNS1M_IiJS11_EEERNS1M_IS1P_JS1U_EEERNS1M_IdJS1U_EEERNS1M_IS1Q_JST_EEEEUlST_SX_SX_S11_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS2D_3ref5rem_sIS1G_E4typeEE4typeEEEEEEE5valueEvE4typeEOS1G_.omp_outlined+0x170>	1	0.50	0.50	0	0	0	0	1	0.50	N/A
ADD X1, X13, X23	1	0	0	0.25	0.25	0.25	0.25	1	0.25	N/A
ORR X18, XZR, XZR	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
ADD X0, X15, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	1	0.25	scal (25.0%)
MUL X1, X1, X20	1	0	0	0	0	0.50	0.50	2	0.50	N/A
ADD X1, X16, X1,LSL #3	1	0	0	0.25	0.25	0.25	0.25	1	0.25	N/A
B 4588a4 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_3ForILl2ENS_6policy10sequential8seq_execEJNS8_ILl3ESB_JNS2_6LambdaILl0EJEEEEEEEEEEEENS0_9LoopTypesINS5_4listIJvvvvEEESJ_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke6MomentElPST_EElEENSP_INSR_INSS_5GroupElPSX_EElEES10_NSP_INSR_INSS_4ZoneElPS11_EElEEEEENSO_IJEEENS5_9resources2v14HostEJZNK14ScatteringSdomclINSS_11ArchLayoutTINSS_12ArchT_OpenMPENSS_11LayoutT_DGZEEEEEvT_NSS_6SdomIdES1H_RKNSS_4Core3SetES1L_S1L_RNS1I_5FieldIdJST_SX_S11_EEES1O_RNS1M_IdJNSS_8MaterialENSS_8LegendreENSS_11GlobalGroupES1R_EEERNS1M_INSS_7MixElemEJS11_EEERNS1M_IiJS11_EEERNS1M_IS1P_JS1U_EEERNS1M_IdJS1U_EEERNS1M_IS1Q_JST_EEEEUlST_SX_SX_S11_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS2D_3ref5rem_sIS1G_E4typeEE4typeEEEEEEE5valueEvE4typeEOS1G_.omp_outlined+0x214>	1	0.50	0.50	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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> --groups 1024 --zones 24,16,16MPI 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/178-172-5489/intel/Kripke/run/oneview_runs/multicore/armclang_5/oneview_run_1781754576OMP_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	0.73	0	0.79	0	0.72	0	1	0	0.67	0.01	0.76	0	0.82	0	0.85	0	1.03	0	0.86	0

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	0.34499999880791	0.01250983774662
1x2	2	0.73	1.47	2	0.27000001072884	0.016622493043542
1x4	4	0.79	3.17	4	0.125	0.01517943572253
1x8	7	0.72	5.75	8	0.094999998807907	0.016777668148279
1x16	11	1	15.99	16	0.054999999701977	0.011848300695419
1x24	20	0.67	16.06	24	0.050000000745058	0.017182337120175
1x32	28	0.76	24.24	32	0.030000001192093	0.014771392568946
1x40	29	0.82	32.79	40	0.035000000149012	0.013669036328793
1x48	27	0.85	40.81	48	0.025000002235174	0.012852057814598
1x56	25	1.03	57.5	56	0.030000001192093	0.010379145853221
1x64	32	0.86	55.05	64	0.019999999552965	0.012001590803266

Report Configuration

Vectorization

Details

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

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