OV - exec - Loop 2062

	Loop Id: 2062	Module: exec	Source: par_strength.c:1261-1263	Coverage: 0.02%

0x4b596c LDR	X16, [X18]    [2]

0x4b5970 CMP	X16, #0

0x4b5974 B.LE	4b5980

0x4b5978 ADD	X2, X2, #1

0x4b597c MOVZ	W0, #1

0x4b5980 LDR	X17, [X18, #8]    [2]

0x4b5984 ADD	X18, X18, #8

0x4b5988 CMP	X17, #0

0x4b598c B.LE	4b5998

0x4b5990 ADD	X2, X2, #1

0x4b5994 MOVZ	W0, #1

0x4b5998 LDR	X30, [X18, #8]    [1]

0x4b599c CMP	X30, #0

0x4b59a0 B.LE	4b59ac

0x4b59a4 ADD	X2, X2, #1

0x4b59a8 MOVZ	W0, #1

0x4b59ac LDR	X1, [X18, #16]    [1]

0x4b59b0 CMP	X1, #0

0x4b59b4 B.LE	4b59c0

0x4b59b8 ADD	X2, X2, #1

0x4b59bc MOVZ	W0, #1

0x4b59c0 LDR	X4, [X18, #24]    [1]

0x4b59c4 CMP	X4, #0

0x4b59c8 B.LE	4b59d4

0x4b59cc ADD	X2, X2, #1

0x4b59d0 MOVZ	W0, #1

0x4b59d4 LDR	X3, [X18, #32]    [1]

0x4b59d8 CMP	X3, #0

0x4b59dc B.LE	4b59e8

0x4b59e0 ADD	X2, X2, #1

0x4b59e4 MOVZ	W0, #1

0x4b59e8 LDR	X6, [X18, #40]    [1]

0x4b59ec CMP	X6, #0

0x4b59f0 B.LE	4b59fc

0x4b59f4 ADD	X2, X2, #1

0x4b59f8 MOVZ	W0, #1

0x4b59fc LDR	X7, [X18, #48]    [1]

0x4b5a00 CMP	X7, #0

0x4b5a04 B.LE	4b5a10

0x4b5a08 ADD	X2, X2, #1

0x4b5a0c MOVZ	W0, #1

0x4b5a10 ADD	X18, X18, #56

0x4b5a14 CMP	X18, X5

0x4b5a18 B.NE	4b596c

/home/eoseret/qaas/qaas_runs/178-188-3659/intel/AMG/build/AMG/AMG/parcsr_ls/par_strength.c: 1261 - 1263

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

1261:       for (i = i_begin; i < i_end; i++)

1262:       {

1263:          if (CF_marker[i] > 0) num_coarse_private++;

Coverage (%)	Name	Source Location	Module
►100.00+	GOMP_parallel		libgomp.so.1.0.0
○	hypre_BoomerAMGCreate2ndS	par_strength.c:1283	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:622	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	amg.c:253	exec

Coverage (%)	Name	Source Location	Module
►54.55+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►45.45+	GOMP_parallel		libgomp.so.1.0.0
○	hypre_BoomerAMGCreate2ndS	par_strength.c:1283	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:622	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	amg.c:253	exec

Coverage (%)	Name	Source Location	Module
►72.73+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►27.27+	GOMP_parallel		libgomp.so.1.0.0
○	hypre_BoomerAMGCreate2ndS	par_strength.c:1283	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:622	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	amg.c:253	exec

Coverage (%)	Name	Module
►100.00+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Module
►100.00+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Module
►100.00+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Module
►100.00+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Module
►100.00+	omp_fulfill_event	libgomp.so.1.0.0
○	start_thread	libc.so.6
○	thread_start	libc.so.6

Coverage (%)	Name	Source Location	Module
►96.15+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►3.85+	GOMP_parallel		libgomp.so.1.0.0
○	hypre_BoomerAMGCreate2ndS	par_strength.c:1283	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:622	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	amg.c:253	exec

Coverage (%)	Name	Source Location	Module
►95.65+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►4.35+	GOMP_parallel		libgomp.so.1.0.0
○	hypre_BoomerAMGCreate2ndS	par_strength.c:1283	exec
○	hypre_BoomerAMGSetup	par_amg_setup.c:622	exec
○	hypre_PCGSetup	pcg.c:234	exec
○	main	amg.c:398	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	amg.c:253	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	5.02
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.23
Bottlenecks	P2, P3, P4, P5,
Function	hypre_BoomerAMGCreate2ndS._omp_fn.0
Source	par_strength.c:1261-1263
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	6.75
CQA cycles if no scalar integer	6.75
CQA cycles if FP arith vectorized	6.75
CQA cycles if fully vectorized	1.34
Front-end cycles	5.50
P0 cycles	4.50
P1 cycles	4.50
P2 cycles	6.75
P3 cycles	6.75
P4 cycles	6.75
P5 cycles	6.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	2.67
P11 cycles	2.67
P12 cycles	2.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	44.00
Nb uops	44.00
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	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	0.00
Vectorization ratio load	0.00
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	21.88
Vector-efficiency ratio load	25.00
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	18.75

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	5.02
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.23
Bottlenecks	P2, P3, P4, P5,
Function	hypre_BoomerAMGCreate2ndS._omp_fn.0
Source	par_strength.c:1261-1263
Source loop unroll info	not unrolled or unrolled with no peel/tail loop
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	6.75
CQA cycles if no scalar integer	6.75
CQA cycles if FP arith vectorized	6.75
CQA cycles if fully vectorized	1.34
Front-end cycles	5.50
P0 cycles	4.50
P1 cycles	4.50
P2 cycles	6.75
P3 cycles	6.75
P4 cycles	6.75
P5 cycles	6.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	2.67
P11 cycles	2.67
P12 cycles	2.67
P13 cycles	0.00
P14 cycles	0.00
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	44.00
Nb uops	44.00
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	NA
Stride 1	NA
Stride n	NA
Stride unknown	NA
Stride indirect	NA
Vectorization ratio all	0.00
Vectorization ratio load	0.00
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	21.88
Vector-efficiency ratio load	25.00
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	18.75

Path /

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

Function	hypre_BoomerAMGCreate2ndS._omp_fn.0
Source file and lines	par_strength.c:1261-1263
Module	exec

The loop is defined in /home/eoseret/qaas/qaas_runs/178-188-3659/intel/AMG/build/AMG/AMG/parcsr_ls/par_strength.c:1261-1263.

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

Ignoring paths for analysis
Too many paths. If you really need to analyze all of the 256 paths individually, rerun with max-paths=256
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

Try to simplify control and/or increase the maximum number of paths per function/loop through the 'max-paths-nb' option.

This loop has 256 execution paths.

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. Only 21% of vector register length is used (average across all VPU instructions). By vectorizing your loop, you can lower the cost of an iteration from 6.75 to 1.34 cycles (5.02x 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

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	44
nb uops	44
loop length	176
used w registers	1
used x registers	11
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	5.50 cycles
front end	5.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	6.75	6.75	6.75	6.75	0.00	0.00	0.00	0.00	2.67	2.67	2.67	0.00	0.00
cycles	4.50	4.50	6.75	6.75	6.75	6.75	0.00	0.00	0.00	0.00	2.67	2.67	2.67	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

Cycles summary

Front-end	5.50
Dispatch	6.75
Overall L1	6.75

Vectorization ratios

all	0%
load	0%
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	21%
load	25%
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	18%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 6.75 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 4b596c

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDR X16, [X18]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X16, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5980 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x160>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X17, [X18, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
ADD X18, X18, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X17, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5998 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x178>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X30, [X18, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X30, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59ac <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x18c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X1, [X18, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X1, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59c0 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1a0>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X4, [X18, #24]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X4, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59d4 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1b4>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X3, [X18, #32]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X3, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59e8 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1c8>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X6, [X18, #40]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X6, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59fc <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1dc>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X7, [X18, #48]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X7, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5a10 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1f0>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
ADD X18, X18, #56	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X18, X5	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	N/A
B.NE 4b596c <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x14c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A

Function	hypre_BoomerAMGCreate2ndS._omp_fn.0
Source file and lines	par_strength.c:1261-1263
Module	exec

Ignoring paths for analysis
Too many paths. If you really need to analyze all of the 256 paths individually, rerun with max-paths=256
RecMII not computed since number of paths is unknown or > max_paths
Streams not analyzed since number of paths is unknown or > max_paths

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

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

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	44
nb uops	44
loop length	176
used w registers	1
used x registers	11
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	5.50 cycles
front end	5.50 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	6.75	6.75	6.75	6.75	0.00	0.00	0.00	0.00	2.67	2.67	2.67	0.00	0.00
cycles	4.50	4.50	6.75	6.75	6.75	6.75	0.00	0.00	0.00	0.00	2.67	2.67	2.67	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

Cycles summary

Front-end	5.50
Dispatch	6.75
Overall L1	6.75

Vectorization ratios

all	0%
load	0%
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	21%
load	25%
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	18%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 6.75 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the loop is: 4b596c

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	Latency	Recip. throughput	Vectorization
LDR X16, [X18]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X16, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5980 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x160>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X17, [X18, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
ADD X18, X18, #8	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X17, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5998 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x178>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X30, [X18, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X30, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59ac <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x18c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X1, [X18, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X1, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59c0 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1a0>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X4, [X18, #24]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X4, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59d4 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1b4>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X3, [X18, #32]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X3, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59e8 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1c8>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X6, [X18, #40]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X6, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b59fc <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1dc>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
LDR X7, [X18, #48]	1	0	0	0	0	0	0	0.33	0.33	0.33	4	0.33	scal (25.0%)
CMP X7, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	scal (25.0%)
B.LE 4b5a10 <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x1f0>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A
ADD X2, X2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (25.0%)
MOVZ W0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	scal (12.5%)
ADD X18, X18, #56	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.25	N/A
CMP X18, X5	1	0	0	0.25	0.25	0.25	0.25	0	0	0	1	0.33	N/A
B.NE 4b596c <hypre_BoomerAMGCreate2ndS._omp_fn.0+0x14c>	1	0.50	0.50	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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> -n 400 400 400MPI 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/178-188-3659/intel/AMG/run/oneview_runs/multicore/gcc_1/oneview_run_1781892409OMP_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	1.93	0	3.6	0	7.94	0	14.98	0	19.41	0	41.99	0	18.54	0	23.01	0	16.7	0	21.22	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	0.055000003427267	0.015891391783953
1x2	2	1.93	1.93	2	0.029999997466803	0.015233279205859
1x4	4	3.6	3.6	4	0.015000000596046	0.014900598675013
1x8	7	7.94	7.94	8	0.0099999997764826	0.011206544004381
1x16	9	14.98	14.98	16	0.0050000003539026	0.006987031083554
1x24	10	19.41	19.41	24	0.0050000003539026	0.0056749293580651
1x32	6	41.99	41.99	32	0.0050000003539026	0.002803013427183
1x40	17	18.54	18.54	40	0.0050000003539026	0.0067167077213526
1x48	16	23.01	23.01	48	0.0050000003539026	0.0053950492292643
1x56	26	16.7	16.7	56	0.0050000003539026	0.0075520975515246
1x64	23	21.22	21.22	64	0.0050000003539026	0.0058345990255475

Report Configuration

Vectorization

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

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