OV - K-Means scalability gcc-O3 100000000 - Function k_means(int, point_t*, point_t*, int*, int, int) [clone ._omp

	Function: k_means(int, point_t, point_t, int*, int, int) [clone ._omp_fn.0]	Module: kmeans-gcc-O3	Source: main.cpp:113-122	Coverage (incl. loops): 99.98% \| (excl. loops): 0.00%

/home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp: 113 - 122

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

113:         #pragma omp parallel for

114:         for (int i = 0; i < n; ++i) {

115:             double optimal_dist = DBL_MAX;

116:             for (int j = 0; j < k; ++j) {

117:                 double dist =

118:                     (points[i].x - centroids[j].x) * (points[i].x - centroids[j].x) +

119:                     (points[i].y - centroids[j].y) * (points[i].y - centroids[j].y);

120:                 if (dist < optimal_dist) {

121:                     optimal_dist = dist;

122:                     assignment[i] = j;

0x401d40 STP	X29, X30, [SP, #976]!

0x401d44 ADD	X29, SP, #0

0x401d48 STP	X19, X20, [SP, #16]

0x401d4c ORR	X20, XZR, X0

0x401d50 STR	X21, [SP, #32]

0x401d54 LDR	W21, [X0, #24]

0x401d58 BL	401930

0x401d5c ORR	W19, WZR, W0

0x401d60 BL	401880

0x401d64 ORR	W4, WZR, W0

0x401d68 SDIV	W6, W21, W19

0x401d6c MSUB	W1, W6, W19, W21

0x401d70 CMP	W0, W1

0x401d74 B.LT	401e18

0x401d78 MADD	W4, W6, W4, W1

0x401d7c ADD	W6, W6, W4

0x401d80 CMP	W4, W6

0x401d84 B.GE	401dfc

0x401d88 LDR	W2, [X20, #28]

0x401d8c LDP	X1, X7, [X20]

0x401d90 LDR	X5, [X20, #16]

0x401d94 CMP	W2, #0

0x401d98 B.LE	401dfc

0x401d9c MOVN	X0, #32784

0x401da0 SBFM	X3, X4, #0, #31

0x401da4 ADD	X4, X1, W4,SXTW #4

0x401da8 FMOV	D26, X0

    (2) 0x401dac LDP	D28, D27, [X4]

    (2) 0x401db0 FMOV	D29, D26

    (2) 0x401db4 ORR	X0, XZR, X7

    (2) 0x401db8 MOVZ	W1, #0

    (2) 0x401dbc HINT	#0

    (2) 0x401dc0 LDP	D31, D30, [X0]

    (2) 0x401dc4 FSUB	D30, D27, S30

    (2) 0x401dc8 FSUB	D31, D28, S31

    (2) 0x401dcc FMUL	D30, D30, D30

    (2) 0x401dd0 FMADD	D31, D31, D31, D30

    (2) 0x401dd4 FCMPE	D29, D31

    (2) 0x401dd8 B.GT	401e0c

    (2) 0x401ddc ADD	W1, W1, #1

    (2) 0x401de0 ADD	X0, X0, #16

    (2) 0x401de4 CMP	W2, W1

    (2) 0x401de8 B.NE	401dc0

    (2) 0x401dec ADD	X3, X3, #1

    (2) 0x401df0 ADD	X4, X4, #16

    (2) 0x401df4 CMP	W6, W3

    (2) 0x401df8 B.GT	401dac

(3) 0x401dfc LDR	X21, [SP, #32]

(3) 0x401e00 LDP	X19, X20, [SP, #16]

(3) 0x401e04 LDP	X29, X30, [SP], #48

(3) 0x401e08 RET

  (1) 0x401e0c FMOV	D29, D31

  (1) 0x401e10 STR	W1, [X5, X3,LSL #2]

  (1) 0x401e14 B	401ddc

0x401e18 ADD	W6, W6, #1

0x401e1c MOVZ	W1, #0

0x401e20 B	401d78

Coverage (%)	Name	Source Location	Module
►100.00+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►50.66+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6
►49.34+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►75.65+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6
►24.35+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►87.96+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6
►12.04+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►94.09+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6
►5.91+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►97.19+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6
►2.81+	GOMP_parallel	libgomp.h:980	libgomp.so.1.0.0
○	k_means(int, point_t*, point_t[...]	main.cpp:23	kmeans-gcc-O3
○	main	main.cpp:27	kmeans-gcc-O3
○	__libc_init_first		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	new_allocator.h:104	kmeans-gcc-O3

Coverage (%)	Name	Source Location	Module
►99.28+	gomp_thread_start	team.c:130	libgomp.so.1.0.0
○	pthread_condattr_setpshared		libc.so.6
○	__clone		libc.so.6

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

min	med	avg	max

Percentile Index	10	20	30	40	50	60	70	80	90	100
Value

Path /

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 run_1_thread

Source file and lines	main.cpp:113-122
Module	kmeans-gcc-O3

The function is defined in /home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113-122.

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Your function is not vectorized. Only 26% of vector register length is used (average across all VPU instructions).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers).

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 12.50 to 1.00 cycles (12.50x speedup).

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/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113
- /home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113

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 32 bytes. The binary function is storing 40 bytes.

General properties

nb instructions	30
nb uops	30
loop length	120
used w registers	8
used x registers	12
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	3

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	3.75 cycles
front end	3.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	4.75	4.75	4.75	4.75	0.25	0.25	0.25	0.25	2.50	2.17	2.33	1.50	1.50
cycles	3.00	3.00	4.75	4.75	4.75	4.75	0.25	0.25	0.25	0.25	2.50	2.17	2.33	1.50	1.50

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

5.00-12.50

Cycles summary

Front-end	3.75
Dispatch	4.75
DIV/SQRT	5.00-12.50
Overall L1	5.00-12.50

Vectorization ratios

INT

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

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

INT+FP

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

Vector efficiency ratios

INT

all	26%
load	25%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	12%
other	25%

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

INT+FP

all	26%
load	25%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	12%
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 call to the function takes 12.50 cycles. At this rate:

2% of peak load performance is reached (2.56 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
6% of peak store performance is reached (3.20 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: 401d40

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
STP X29, X30, [SP, #976]!	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
ADD X29, SP, #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%)
STP X19, X20, [SP, #16]	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%)
ORR X20, XZR, X0	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 X21, [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%)
LDR W21, [X0, #24]	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%)
BL 401930 <@plt_start@+0x2b0>	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
ORR W19, WZR, W0	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 401880 <@plt_start@+0x200>	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
ORR W4, WZR, W0	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%)
SDIV W6, W21, W19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	N/A
MSUB W1, W6, W19, W21	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
CMP W0, W1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LT 401e18 <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xd8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MADD W4, W6, W4, W1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
ADD W6, W6, W4	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
CMP W4, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.GE 401dfc <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xbc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W2, [X20, #28]	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%)
LDP X1, X7, [X20]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDR X5, [X20, #16]	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 W2, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 401dfc <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xbc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MOVN X0, #32784	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
SBFM X3, X4, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
ADD X4, X1, W4,SXTW #4	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
FMOV D26, X0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD W6, W6, #1	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
MOVZ W1, #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 (12.5%)
B 401d78 <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0x38>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run run_1_thread

Source file and lines	main.cpp:113-122
Module	kmeans-gcc-O3

The function is defined in /home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113-122.

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Vectorization

Your function is not vectorized. Only 26% of vector register length is used (average across all VPU instructions).

Details

All VPU instructions are used in scalar version (process only one data element in vector registers).

Expensive FP math instructions/calls

Detected performance impact from expensive FP math instructions/calls. By removing/reexpressing them, you can lower the cost of an iteration from 12.50 to 1.00 cycles (12.50x speedup).

CALL instructions

Detected function call instructions.

Details

unknown: 2 occurrences►
- /home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113
- /home/fmusial/KMEANS_Benchmarks/kmeans/main.cpp:113

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 32 bytes. The binary function is storing 40 bytes.

General properties

nb instructions	30
nb uops	30
loop length	120
used w registers	8
used x registers	12
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	3

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	3.75 cycles
front end	3.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	3.00	3.00	4.75	4.75	4.75	4.75	0.25	0.25	0.25	0.25	2.50	2.17	2.33	1.50	1.50
cycles	3.00	3.00	4.75	4.75	4.75	4.75	0.25	0.25	0.25	0.25	2.50	2.17	2.33	1.50	1.50

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

5.00-12.50

Cycles summary

Front-end	3.75
Dispatch	4.75
DIV/SQRT	5.00-12.50
Overall L1	5.00-12.50

Vectorization ratios

INT

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

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

INT+FP

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

Vector efficiency ratios

INT

all	26%
load	25%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	12%
other	25%

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

INT+FP

all	26%
load	25%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	25%
fma	12%
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 call to the function takes 12.50 cycles. At this rate:

2% of peak load performance is reached (2.56 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
6% of peak store performance is reached (3.20 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: 401d40

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
STP X29, X30, [SP, #976]!	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
ADD X29, SP, #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%)
STP X19, X20, [SP, #16]	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%)
ORR X20, XZR, X0	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 X21, [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%)
LDR W21, [X0, #24]	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%)
BL 401930 <@plt_start@+0x2b0>	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
ORR W19, WZR, W0	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 401880 <@plt_start@+0x200>	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
ORR W4, WZR, W0	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%)
SDIV W6, W21, W19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	N/A
MSUB W1, W6, W19, W21	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
CMP W0, W1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LT 401e18 <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xd8>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MADD W4, W6, W4, W1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
ADD W6, W6, W4	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
CMP W4, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.GE 401dfc <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xbc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR W2, [X20, #28]	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%)
LDP X1, X7, [X20]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
LDR X5, [X20, #16]	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 W2, #0	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 401dfc <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0xbc>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MOVN X0, #32784	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
SBFM X3, X4, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	0	0	0	0	1	0.25	scal (100.0%)
ADD X4, X1, W4,SXTW #4	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (25.0%)
FMOV D26, X0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	2	0.25	scal (25.0%)
ADD W6, W6, #1	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
MOVZ W1, #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 (12.5%)
B 401d78 <_Z7k_meansiP7point_tS0_Piii._omp_fn.0+0x38>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run run_1_thread	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PROC_BIND: closeOMP_NUM_THREADS: 1OMP_PLACES: cores
Run run_2_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PLACES: coresOMP_PROC_BIND: closeOMP_NUM_THREADS: 2
Run run_4_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PLACES: coresOMP_PROC_BIND: closeOMP_NUM_THREADS: 4
Run run_8_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PLACES: coresOMP_PROC_BIND: closeOMP_NUM_THREADS: 8
Run run_16_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PLACES: coresOMP_PROC_BIND: closeOMP_NUM_THREADS: 16
Run run_32_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PROC_BIND: closeOMP_PLACES: coresOMP_NUM_THREADS: 32
Run run_64_threads	Number processes: 1Number nodes: 1Run Command: <executable> kmeans/input/100000000.in 1000 100000000 50 25MPI Command: Dataset: Run Directory: /home/fmusial/KMEANS_BenchmarksOMP_PROC_BIND: closeOMP_PLACES: coresOMP_NUM_THREADS: 64

(run_1_thread) Efficiency	(run_1_thread) Potential Speed-Up (%)	(run_2_threads) Efficiency	(run_2_threads) Potential Speed-Up (%)	(run_4_threads) Efficiency	(run_4_threads) Potential Speed-Up (%)	(run_8_threads) Efficiency	(run_8_threads) Potential Speed-Up (%)	(run_16_threads) Efficiency	(run_16_threads) Potential Speed-Up (%)	(run_32_threads) Efficiency	(run_32_threads) Potential Speed-Up (%)	(run_64_threads) Efficiency	(run_64_threads) Potential Speed-Up (%)
1	0	0.98	1.55	0.96	3.79	0.95	4.85	0.94	5.96	0.95	4.44	1.27	0

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
run_1_thread	1	1	1	1	146.25996398926	99.98291015625
run_2_threads	2	0.98	1.97	2	74.284996032715	100
run_4_threads	4	0.96	3.85	4	38.009994506836	99.911529541016
run_8_threads	8	0.95	7.61	8	19.219995498657	99.751770019531
run_16_threads	16	0.94	15.04	16	9.7449998855591	99.428680419922
run_32_threads	32	0.95	30.54	32	4.8699989318848	97.151412963867
run_64_threads	64	1.27	81.24	64	2.1800000667572	81.097175598145

Name	Coverage (%)	Time (s)
▼k_means(int, point_t, point_t, int*, int, int) [clone ._omp_fn.0]–	99.98	146.26
▼Loop 3 - main.cpp:113-122 - kmeans-gcc-O3–	0.00	0.00
▼Loop 1 - main.cpp:115-122 - kmeans-gcc-O3–	8.69	12.71
○Loop 2 - main.cpp:115-120 - kmeans-gcc-O3	91.29	133.55

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Expensive FP math instructions/calls

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