OV - exec - Function std::enable_if<all_of<camp::concepts::metalib::negate_t<RAJA::internal::loop_data_has_reducers<camp::type::cv::rem_s<camp::type::ref::rem_s<RAJA::internal::LoopData<camp::tuple<RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::Group, long, Kripke::Group*>, long>, RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::MixElem, long, Kripke::MixElem*>, long> >, camp::tuple<>, camp::resources::v1::Host, SourceSdom::operator()<Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ> >(Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ>, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field<double, Kripke::Moment, Kripke::Group, Kripke::Zone>&, Kripke::Core::Field<Kripke::Zone, Kripke::MixElem>&, Kripke::Core::Field<Kripke::Material, Kripke::MixElem>&, Kripke::Core::Field<double, Kripke::MixElem>&, double) const::{lambda(Kripke::Group, Kripke::MixElem)#1}>&>::type>::type> > >::value, void>::type RAJA::internal::StatementExecutor<RAJA::statement::Collapse<RAJA::omp_parallel_collapse_exec, camp::int_seq<long, 0l, 1l>, RAJA::statement::Lambda<0l> >, RAJA::internal::LoopTypes<camp::list<void, void>, camp::list<void, void> > >::exec<RAJA::internal::LoopData<camp::tuple<RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::Group, long, Kripke::Group*>, long>, RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::MixElem, long, Kripke::MixElem*>, long> >, camp::tuple<>, camp::resources::v1::Host, SourceSdom::operator()<Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ> >(Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ>, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field<double, Kripke::Moment, Kripke::Group, Kripke::Zone>&, Kripke::Core::Field<Kripke::Zone, Kripke::MixElem>&, Kripke::Core::Field<Kripke::Material, Kripke::MixElem>&, Kripke::Core::Field<double, Kripke::MixElem>&, double) const::{lambda(Kripke::Group, Kripke::MixElem)#1}>&>(RAJA::internal::LoopData<camp::tuple<RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::Group, long, Kripke::Group*>, long>, RAJA::Span<RAJA::Iterators::numeric_iterator<Kripke::MixElem, long, Kripke::MixElem*>, long> >, camp::tuple<>, camp::resources::v1::Host, SourceSdom::operator()<Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ> >(Kripke::ArchLayoutT<Kripke::ArchT_OpenMP, Kripke::LayoutT_DGZ>, Kripke::SdomId, Kripke::Core::Set const&, Kripke::Core::Set const&, Kripke::Core::Field<double, Kripke::Moment, Kripke::Group, Kripke::Zone>&, Kripke::Core::Field<Kripke::Zone, Kripke::MixElem>&, Kripke::Core::Field<Kripke::Material, Kripke::MixElem>&, Kripke::Core::Field<double, Kripke::MixElem>&, double) const::{lambda(Kripke::Group, Kripke::MixElem)#1}>&) [clone .omp

	Function: std::enable_if<all_of<camp::concepts::metalib::negate_t<RAJA::internal::loop_data_has_redu ...	Module: exec	Source: Collapse.hpp:129-133 [...]	Coverage (incl. loops): NA% \| (excl. loops): NA%

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Source.cpp: 65 - 71

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

65:             Material material = mixelem_to_material(mix);

66:

67:             if(material == 0){

68:               Zone z = mixelem_to_zone(mix);

69:               double fraction = mixelem_to_fraction(mix);

70:

71:               phi_out(nm, g, z) += source_strength * fraction;

/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/policy/openmp/kernel/Collapse.hpp: 129 - 133

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

129: #pragma omp parallel for private(i0, i1) firstprivate(privatizer)              \

130:     RAJA_COLLAPSE(2)

131:     for (i0 = 0; i0 < l0; ++i0)

132:     {

133:       for (i1 = 0; i1 < l1; ++i1)

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/TypedViewBase.hpp: 216 - 216

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

216:     return data[stripIndexType(layout(args...))];

/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);

0x45ed40 SUB	SP, SP, #160

0x45ed44 STR	D8, [SP, #48]

0x45ed48 STP	X29, X30, [SP, #64]

0x45ed4c STP	X28, X27, [SP, #80]

0x45ed50 STP	X26, X25, [SP, #96]

0x45ed54 STP	X24, X23, [SP, #112]

0x45ed58 STP	X22, X21, [SP, #128]

0x45ed5c STP	X20, X19, [SP, #144]

0x45ed60 ADD	X29, SP, #64

0x45ed64 LDR	X8, [X2]

0x45ed68 LDR	X20, [X3]

0x45ed6c CMP	X8, #1

0x45ed70 CCMP	X20, #1, #8, #10

0x45ed74 B.LT	45ee18

0x45ed78 MOVN	X9, #0

0x45ed7c LDR	D8, [X4, #272]

0x45ed80 LDR	X10, [X4, #40]

0x45ed84 LDR	W19, [X0]

0x45ed88 ADRP	X0,

0x45ed8c ADD	X0, X0, #1664

0x45ed90 ADD	X3, SP, #28

0x45ed94 SUB	X5, X29, #24

0x45ed98 MADD	X26, X20, X8, X9

0x45ed9c LDR	X9, [X4, #80]

0x45eda0 LDR	X21, [X4]

0x45eda4 LDR	X24, [X4, #16]

0x45eda8 MOVZ	W8, #1

0x45edac ADD	X6, SP, #32

0x45edb0 MOVZ	W2, #34

0x45edb4 LDR	X27, [X4, #120]

0x45edb8 LDR	X22, [X4, #160]

0x45edbc LDP	X28, X23, [X4, #192]

0x45edc0 MOVZ	W7, #1

0x45edc4 ORR	W1, WZR, W19

0x45edc8 LDR	X25, [X4, #264]

0x45edcc SUB	X4, X29, #8

0x45edd0 STUR	XZR, [X29, #504]

0x45edd4 STUR	X26, [X29, #488]

0x45edd8 STR	X8, [SP, #32]

0x45eddc STR	WZR, [SP, #28]

0x45ede0 STR	X8, [SP]

0x45ede4 STP	X9, X10, [SP, #8]

0x45ede8 BL	4104f0

0x45edec LDUR	X8, [X29, #488]

0x45edf0 CMP	X8, X26

0x45edf4 CSEL	X10, X8, X26, #11

0x45edf8 LDUR	X8, [X29, #504]

0x45edfc STUR	X10, [X29, #488]

0x45ee00 CMP	X8, X10

0x45ee04 B.LE	45ee3c

0x45ee08 ADRP	X0,

0x45ee0c ADD	X0, X0, #1688

0x45ee10 ORR	W1, WZR, W19

0x45ee14 BL	410460

0x45ee18 LDR	D8, [SP, #48]

0x45ee1c LDP	X20, X19, [SP, #144]

0x45ee20 LDP	X22, X21, [SP, #128]

0x45ee24 LDP	X24, X23, [SP, #112]

0x45ee28 LDP	X26, X25, [SP, #96]

0x45ee2c LDP	X28, X27, [SP, #80]

0x45ee30 LDP	X29, X30, [SP, #64]

0x45ee34 ADD	SP, SP, #160

0x45ee38 RET

0x45ee3c LDP	X13, X14, [SP, #8]

0x45ee40 MUL	X9, X25, X28

0x45ee44 ADD	X10, X10, #1

0x45ee48 SUB	X11, XZR, X20,LSL #3

0x45ee4c ADD	X12, X27, X24,LSL #3

0x45ee50 ADD	X13, X13, X24,LSL #3

0x45ee54 ADD	X14, X14, X24,LSL #3

0x45ee58 B	45ee6c

0x45ee5c HINT	#0

(1192) 0x45ee60 ADD	X8, X8, #1

(1192) 0x45ee64 CMP	X10, X8

(1192) 0x45ee68 B.EQ	45ee08

(1192) 0x45ee6c SDIV	X15, X8, X20

(1192) 0x45ee70 MADD	X16, X11, X15, X14

(1192) 0x45ee74 LDR	X16, [X16, X8,LSL #3]

(1192) 0x45ee78 CBNZ	X16, 45ee60

(1192) 0x45ee7c MADD	X17, X11, X15, X13

(1192) 0x45ee80 ADD	X16, X15, X21

(1192) 0x45ee84 LDR	X17, [X17, X8,LSL #3]

(1192) 0x45ee88 MADD	X15, X11, X15, X12

(1192) 0x45ee8c LDR	D0, [X15, X8,LSL #3]

(1192) 0x45ee90 MUL	X15, X16, X23

(1192) 0x45ee94 ADD	X16, X22, X17,LSL #3

(1192) 0x45ee98 ADD	X15, X16, X15,LSL #3

(1192) 0x45ee9c LDR	D1, [X15, X9,LSL #3]

(1192) 0x45eea0 FMADD	D0, D0, D8, D1

(1192) 0x45eea4 STR	D0, [X15, X9,LSL #3]

(1192) 0x45eea8 B	45ee60

0x45eeac HINT	#0

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 /

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

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run 1x1

Source file and lines	Collapse.hpp:129-133
Module	exec

The function is defined in:

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Source.cpp:65-71
/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/policy/openmp/kernel/Collapse.hpp:129-133
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/TypedViewBase.hpp:216
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/internal/Iterators.hpp:291

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 12.00 to 2.17 cycles (5.54x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vectorization

Your function is not vectorized. Only 29% of vector register length is used (average across all VPU instructions). By vectorizing your function, you can lower the cost of an iteration from 12.00 to 3.77 cycles (3.18x 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 function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function 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

CALL instructions

Detected function call instructions.

Details

Calling (and then returning from) a function prevents many compiler optimizations (like vectorization), breaks control flow (which reduces pipeline performance) and executes extra instructions to save/restore the registers used inside it, which is very expensive (dozens of cycles). Consider to inline small functions.

unknown: 2 occurrences►
- /home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/policy/openmp/kernel/Collapse.hpp:129
- /home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/policy/openmp/kernel/Collapse.hpp:130

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 3 bytes. The binary function is storing 3 bytes.

General properties

nb instructions	73
nb uops	71
loop length	292
used w registers	6
used x registers	26
used b registers	0
used h registers	0
used s registers	1
used d registers	1
used q registers	0
used v registers	0
used z registers	0
nb stack references	19

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	8.88 cycles
front end	8.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	7.75	7.75	7.75	7.75	0.50	0.50	0.00	0.00	12.00	12.00	12.00	6.50	6.50
cycles	3.00	3.00	7.75	7.75	7.75	7.75	0.50	0.50	0.00	0.00	12.00	12.00	12.00	6.50	6.50

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

Cycles summary

Front-end	8.88
Dispatch	12.00
Overall L1	12.00

Vectorization ratios

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

Vector efficiency ratios

all	29%
load	31%
store	36%
mul	25%
add-sub	25%
fma	25%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	20%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 12.00 cycles. At this rate:

0% of peak load performance is reached (0.25 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.25 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 45ed40

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
SUB SP, SP, #160	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
STR D8, [SP, #48]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
STP X29, X30, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X28, X27, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X26, X25, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X24, X23, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X22, X21, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X20, X19, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
ADD X29, SP, #64	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X8, [X2]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X20, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP X8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
CCMP X20, #1, #8, #10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
B.LT 45ee18 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0xd8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MOVN X9, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR D8, [X4, #272]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDR X10, [X4, #40]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR W19, [X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ADRP X0, <4cfd88>	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1664	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X3, SP, #28	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X5, X29, #24	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MADD X26, X20, X8, X9	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X9, [X4, #80]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X21, [X4]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X24, [X4, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X6, SP, #32	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MOVZ W2, #34	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X27, [X4, #120]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X22, [X4, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDP X28, X23, [X4, #192]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
MOVZ W7, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ORR W1, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR X25, [X4, #264]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SUB X4, X29, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
STUR XZR, [X29, #504]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STUR X26, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR X8, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR WZR, [SP, #28]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STR X8, [SP]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STP X9, X10, [SP, #8]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
BL 4104f0 <@plt_start@+0x4d0>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X8, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP X8, X26	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
CSEL X10, X8, X26, #11	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDUR X8, [X29, #504]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STUR X10, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
CMP X8, X10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
B.LE 45ee3c <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0xfc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADRP X0, <4cfe08>	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1688	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ORR W1, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
BL 410460 <@plt_start@+0x440>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D8, [SP, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDP X20, X19, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X22, X21, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X24, X23, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X26, X25, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X28, X27, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X29, X30, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
ADD SP, SP, #160	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
RET	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X13, X14, [SP, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
MUL X9, X25, X28	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
ADD X10, X10, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X11, XZR, X20,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X12, X27, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X13, X13, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X14, X14, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
B 45ee6c <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0x12c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																			N/A
HINT #0																			N/A

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run 1x1

Source file and lines	Collapse.hpp:129-133
Module	exec

The function is defined in:

/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/src/Kripke/Kernel/Source.cpp:65-71
/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/policy/openmp/kernel/Collapse.hpp:129-133
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/util/TypedViewBase.hpp:216
/home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/internal/Iterators.hpp:291

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Code clean check

Detected a slowdown caused by scalar integer instructions (typically used for address computation). By removing them, you can lower the cost of an iteration from 12.00 to 2.17 cycles (5.54x speedup).

Workaround

Try to reorganize arrays of structures to structures of arrays
Consider to permute loops (see vectorization gain report)

Vectorization

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 function can use their full power.

Workaround

Try another compiler or update/tune your current one
Make array accesses unit-stride:
- If your function 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

CALL instructions

Detected function call instructions.

Details

unknown: 2 occurrences►
- /home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/policy/openmp/kernel/Collapse.hpp:129
- /home/eoseret/qaas/qaas_runs/178-172-5489/intel/Kripke/build/Kripke/tpl/raja/include/RAJA/policy/openmp/kernel/Collapse.hpp:130

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

The binary function does not contain any FP arithmetical operations. The binary function is loading 3 bytes. The binary function is storing 3 bytes.

General properties

nb instructions	73
nb uops	71
loop length	292
used w registers	6
used x registers	26
used b registers	0
used h registers	0
used s registers	1
used d registers	1
used q registers	0
used v registers	0
used z registers	0
nb stack references	19

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	8.88 cycles
front end	8.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	7.75	7.75	7.75	7.75	0.50	0.50	0.00	0.00	12.00	12.00	12.00	6.50	6.50
cycles	3.00	3.00	7.75	7.75	7.75	7.75	0.50	0.50	0.00	0.00	12.00	12.00	12.00	6.50	6.50

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

Cycles summary

Front-end	8.88
Dispatch	12.00
Overall L1	12.00

Vectorization ratios

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

Vector efficiency ratios

all	29%
load	31%
store	36%
mul	25%
add-sub	25%
fma	25%
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	20%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 12.00 cycles. At this rate:

0% of peak load performance is reached (0.25 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.25 out of 48.00 bytes stored per cycle (GB/s @ 1GHz))

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 45ed40

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
SUB SP, SP, #160	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
STR D8, [SP, #48]	1	0	0	0	0	0	0	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	scal (25.0%)
STP X29, X30, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X28, X27, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X26, X25, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X24, X23, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X22, X21, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
STP X20, X19, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
ADD X29, SP, #64	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X8, [X2]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X20, [X3]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP X8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
CCMP X20, #1, #8, #10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
B.LT 45ee18 <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0xd8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MOVN X9, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDR D8, [X4, #272]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDR X10, [X4, #40]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR W19, [X0]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ADRP X0, <4cfd88>	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1664	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X3, SP, #28	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
SUB X5, X29, #24	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MADD X26, X20, X8, X9	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDR X9, [X4, #80]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X21, [X4]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X24, [X4, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
MOVZ W8, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X6, SP, #32	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
MOVZ W2, #34	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
LDR X27, [X4, #120]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X22, [X4, #160]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDP X28, X23, [X4, #192]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
MOVZ W7, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
ORR W1, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
LDR X25, [X4, #264]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SUB X4, X29, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
STUR XZR, [X29, #504]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STUR X26, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR X8, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STR WZR, [SP, #28]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
STR X8, [SP]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
STP X9, X10, [SP, #8]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
BL 4104f0 <@plt_start@+0x4d0>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDUR X8, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
CMP X8, X26	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
CSEL X10, X8, X26, #11	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
LDUR X8, [X29, #504]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STUR X10, [X29, #488]	1	0	0	0	0	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
CMP X8, X10	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (25.0%)
B.LE 45ee3c <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0xfc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
ADRP X0, <4cfe08>	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ADD X0, X0, #1688	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
ORR W1, WZR, W19	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (12.5%)
BL 410460 <@plt_start@+0x440>	1	0.50	0.50	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR D8, [SP, #48]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	scal (25.0%)
LDP X20, X19, [SP, #144]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X22, X21, [SP, #128]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X24, X23, [SP, #112]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X26, X25, [SP, #96]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X28, X27, [SP, #80]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDP X29, X30, [SP, #64]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
ADD SP, SP, #160	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
RET	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP X13, X14, [SP, #8]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
MUL X9, X25, X28	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
ADD X10, X10, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
SUB X11, XZR, X20,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X12, X27, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X13, X13, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X14, X14, X24,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	N/A
B 45ee6c <_ZN4RAJA8internal17StatementExecutorINS_9statement8CollapseINS_26omp_parallel_collapse_execEN4camp7int_seqIlJLl0ELl1EEEEJNS2_6LambdaILl0EJEEEEEENS0_9LoopTypesINS5_4listIJvvEEESD_EEE4execIRNS0_8LoopDataINS5_5tupleIJNS_4SpanINS_9Iterators16numeric_iteratorIN6Kripke5GroupElPSN_EElEENSJ_INSL_INSM_7MixElemElPSR_EElEEEEENSI_IJEEENS5_9resources2v14HostEJZNK10SourceSdomclINSM_11ArchLayoutTINSM_12ArchT_OpenMPENSM_11LayoutT_DGZEEEEEvT_NSM_6SdomIdERKNSM_4Core3SetES1B_RNS18_5FieldIdJNSM_6MomentESN_NSM_4ZoneEEEERNS1C_IS1E_JSR_EEERNS1C_INSM_8MaterialEJSR_EEERNS1C_IdJSR_EEEdEUlSN_SR_E_EEEEENSt9enable_ifIXsr6all_ofINS5_8concepts7metalib8negate_tINS0_22loop_data_has_reducersINS5_4type2cv5rem_sINS1W_3ref5rem_sIS16_E4typeEE4typeEEEEEEE5valueEvE4typeEOS16_.omp_outlined+0x12c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
HINT #0																			N/A
HINT #0																			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			1	0	1	0	1	0	1	0	1	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
1x2
1x4
1x8
1x16	8	1	1	16	0.025000000372529	0.0056665781885386
1x24
1x32	29	1	1	32	0.015000000596046	0.011849579401314
1x40	9	1	1	40	0.0099999997764826	0.0029290791135281
1x48	5	1	1	48	0.014999999664724	0.0017453413456678
1x56	14	1	1	56	0.015000000596046	0.0044924658723176
1x64	4	1	1	64	0.0099999997764826	0.0012001590803266

Name	Coverage (%)	Time (s)
▼std::enable_if–	0.00	0.00
○Loop 1192 - Source.cpp:65-71 - exec	0.00	0.00

Report Configuration

Code clean check

Workaround

Vectorization

Details

Workaround

CALL instructions

Details

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

General properties

Front-end

Back-end

Cycles summary

Vectorization ratios

Vector efficiency ratios

Cycles and memory resources usage

Front-end bottlenecks

ASM code

Code clean check

Workaround

Vectorization

Details

Workaround

CALL instructions

Details

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

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