OV - exec - Function gasdev

	Function: gasdev	Module: exec	Source: random.c:22-48 [...]	Coverage (incl. loops): 0.01% \| (excl. loops): 0.00%

/home/eoseret/qaas/qaas_runs/178-176-0594/intel/CoMD/build/CoMD/CoMD/src-openmp/random.c: 22 - 48

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

22: {

23:    real_t rsq,v1,v2;

24:    do

25:    {

26:       v1 = 2.0*lcg61(seed)-1.0;

27:       v2 = 2.0*lcg61(seed)-1.0;

28:       rsq = v1*v1+v2*v2;

29:    } while (rsq >= 1.0 || rsq == 0.0);

30:

31:    return v2 * sqrt(-2.0*log(rsq)/rsq);

[...]

45:    *seed *= UINT64_C(437799614237992725);

46:    *seed %= UINT64_C(2305843009213693951);

47:

48:    return *seed*convertToDouble;

0x418e20 STP	D9, D8, [SP, #992]!

0x418e24 STP	X29, X30, [SP, #16]

0x418e28 ADD	X29, SP, #16

0x418e2c MOVZ	X8, #26389

0x418e30 LDR	X10, [X0]

0x418e34 FMOV	D0, #-1.0000000

0x418e38 FMOV	D1, #2.0000000

0x418e3c FMOV	D2, #1.0000000

0x418e40 MOVZ	W9, #9

0x418e44 MOVK	X8, #63861

0x418e48 MOVK	X8, #24685

0x418e4c MOVK	X8, #1555

0x418e50 HINT	#0

0x418e54 HINT	#0

0x418e58 HINT	#0

0x418e5c HINT	#0

(109) 0x418e60 MUL	X10, X10, X8

(109) 0x418e64 UMULH	X11, X10, X9

(109) 0x418e68 SUB	X12, X10, X11

(109) 0x418e6c ADD	X11, X11, X12,LSR #1

(109) 0x418e70 UBFM	X11, X11, #60, #63

(109) 0x418e74 SUB	X11, X11, X11,LSL #61

(109) 0x418e78 ADD	X10, X10, X11

(109) 0x418e7c UCVTF	D3, X10, #61

(109) 0x418e80 MUL	X10, X10, X8

(109) 0x418e84 UMULH	X11, X10, X9

(109) 0x418e88 FMADD	D3, D3, D1, D0

(109) 0x418e8c SUB	X12, X10, X11

(109) 0x418e90 ADD	X11, X11, X12,LSR #1

(109) 0x418e94 UBFM	X11, X11, #60, #63

(109) 0x418e98 SUB	X11, X11, X11,LSL #61

(109) 0x418e9c ADD	X10, X10, X11

(109) 0x418ea0 UCVTF	D4, X10, #61

(109) 0x418ea4 FMADD	D9, D4, D1, D0

(109) 0x418ea8 FMUL	D4, D9, D9

(109) 0x418eac FMADD	D8, D3, D3, D4

(109) 0x418eb0 FCMP	D8, D2

(109) 0x418eb4 B.GE	418e60

(109) 0x418eb8 FCMP	D8, #0

(109) 0x418ebc B.EQ	418e60

0x418ec0 FMOV	D0, D8

0x418ec4 STR	X10, [X0]

0x418ec8 BL	410150

0x418ecc FMOV	D1, #-2.0000000

0x418ed0 FMUL	D0, D0, D1

0x418ed4 FDIV	D0, D0, D8

0x418ed8 FSQRT	D0, D0

0x418edc FMUL	D0, D9, D0

0x418ee0 LDP	X29, X30, [SP, #16]

0x418ee4 LDP	D9, D8, [SP], #32

0x418ee8 RET

0x418eec HINT	#0

Coverage (%)	Name	Source Location	Module
►59.26+	setTemperature.omp_outlined	initAtoms.c:160	exec
○	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►14.81+	setTemperature.omp_outlined	initAtoms.c:162	exec
○	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►14.81+	setTemperature.omp_outlined	initAtoms.c:161	exec
○	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►7.41+	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_launch_thread		libomp.so
○	__kmp_launch_worker(void*)		libomp.so
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►3.70+	setTemperature.omp_outlined	initAtoms.c:160	exec
○	__kmp_invoke_microtask		libomp.so
○	__kmp_invoke_task_func		libomp.so
○	__kmp_fork_call		libomp.so
○	__kmpc_fork_call		libomp.so
○	setTemperature	initAtoms.c:167	exec
○	main	CoMD.c:200	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	eam.c:831	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 /

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 orig_0

Source file and lines	random.c:22-48
Module	exec

The function is defined in /home/eoseret/qaas/qaas_runs/178-176-0594/intel/CoMD/build/CoMD/CoMD/src-openmp/random.c:22-31,45-48.

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 7.24 to 1.17 cycles (6.21x 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 28% of vector register length is used (average across all VPU instructions). By fully vectorizing your function, you can lower the cost of an iteration from 7.24 to 3.62 cycles (2.00x speedup).

Details

10% of VPU instructions are used in vector version (process two or more data elements in vector registers):

50% of VPU loads are used in vector version.
33% of VPU stores are used in vector version.
0% of VPU multiply instructions are used in vector version.
0% of VPU divide and square root instructions are used in vector version.
0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully 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)

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 7.24 to 2.63 cycles (2.76x 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: 1 occurrences►
- /home/eoseret/qaas/qaas_runs/178-176-0594/intel/CoMD/build/CoMD/CoMD/src-openmp/random.c:31

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

The binary function is composed of 4 FP arithmetical operations:

2: multiply
1: divide
1: square root

The binary function does not load or store any data.

General properties

nb instructions	28
nb uops	23
loop length	112
used w registers	1
used x registers	5
used b registers	0
used h registers	0
used s registers	1
used d registers	5
used q registers	0
used v registers	0
used z registers	0
nb stack references	4

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	2.88 cycles
front end	2.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	2.25	2.25	2.25	2.25	2.50	2.50	2.50	2.50	2.17	1.83	2.00	1.00	1.00
cycles	1.00	1.00	2.25	2.25	2.25	2.25	2.50	2.50	2.50	2.50	2.17	1.83	2.00	1.00	1.00

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

3.50-7.24

Cycles summary

Front-end	2.88
Dispatch	2.50
DIV/SQRT	3.50-7.24
Overall L1	3.50-7.24

Vectorization ratios

INT

all	20%
load	50%
store	33%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

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

INT+FP

all	10%
load	50%
store	33%
mul	0%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	31%
load	37%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	22%

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

INT+FP

all	28%
load	37%
store	41%
mul	25%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	25%
other	23%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 7.24 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 418e20

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
STP D9, D8, [SP, #992]!	1	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STP X29, X30, [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%)
ADD X29, SP, #16	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 X8, #26389	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 X10, [X0]	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%)
FMOV D0, #-1.0000000	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%)
FMOV D1, #2.0000000	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%)
FMOV D2, #1.0000000	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%)
MOVZ W9, #9	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%)
MOVK X8, #63861	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%)
MOVK X8, #24685	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%)
MOVK X8, #1555	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%)
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
FMOV D0, D8	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%)
STR X10, [X0]	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%)
BL 410150 <@plt_start@+0x130>	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
FMOV D1, #-2.0000000	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%)
FMUL D0, D0, D1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FDIV D0, D0, D8	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FSQRT D0, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-16	1.75-3.75	scal (25.0%)
FMUL D0, D9, D0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
LDP X29, X30, [SP, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP D9, D8, [SP], #32	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
RET	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

The code analyzed by CQA in that panel excludes loops and represents 0.00% of application time for run orig_0

Source file and lines	random.c:22-48
Module	exec

The function is defined in /home/eoseret/qaas/qaas_runs/178-176-0594/intel/CoMD/build/CoMD/CoMD/src-openmp/random.c:22-31,45-48.

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 7.24 to 1.17 cycles (6.21x speedup).

Workaround

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

Vectorization

Details

10% of VPU instructions are used in vector version (process two or more data elements in vector registers):

50% of VPU loads are used in vector version.
33% of VPU stores are used in vector version.
0% of VPU multiply instructions are used in vector version.
0% of VPU divide and square root instructions are used in vector version.
0% of VPU instructions that are not load, store, addition, subtraction nor multiply instructions are used in vector version.

Since your execution units are vector units, only a fully 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)

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 7.24 to 2.63 cycles (2.76x speedup).

CALL instructions

Detected function call instructions.

Details

unknown: 1 occurrences►
- /home/eoseret/qaas/qaas_runs/178-176-0594/intel/CoMD/build/CoMD/CoMD/src-openmp/random.c:31

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

The binary function is composed of 4 FP arithmetical operations:

2: multiply
1: divide
1: square root

The binary function does not load or store any data.

General properties

nb instructions	28
nb uops	23
loop length	112
used w registers	1
used x registers	5
used b registers	0
used h registers	0
used s registers	1
used d registers	5
used q registers	0
used v registers	0
used z registers	0
nb stack references	4

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	2.88 cycles
front end	2.88 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.00	1.00	2.25	2.25	2.25	2.25	2.50	2.50	2.50	2.50	2.17	1.83	2.00	1.00	1.00
cycles	1.00	1.00	2.25	2.25	2.25	2.25	2.50	2.50	2.50	2.50	2.17	1.83	2.00	1.00	1.00

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

3.50-7.24

Cycles summary

Front-end	2.88
Dispatch	2.50
DIV/SQRT	3.50-7.24
Overall L1	3.50-7.24

Vectorization ratios

INT

all	20%
load	50%
store	33%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	0%

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

INT+FP

all	10%
load	50%
store	33%
mul	0%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	0%
other	0%

Vector efficiency ratios

INT

all	31%
load	37%
store	41%
mul	NA (no mul vectorizable/vectorized instructions)
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
other	22%

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

INT+FP

all	28%
load	37%
store	41%
mul	25%
add-sub	NA (no add-sub vectorizable/vectorized instructions)
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	25%
other	23%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 7.24 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 418e20

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
STP D9, D8, [SP, #992]!	1	0	0	0.25	0.25	0.25	0.25	0.50	0.50	0	0	0.50	0.50	0	0	0	2	0.50	vect (50.0%)
STP X29, X30, [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%)
ADD X29, SP, #16	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 X8, #26389	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 X10, [X0]	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%)
FMOV D0, #-1.0000000	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%)
FMOV D1, #2.0000000	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%)
FMOV D2, #1.0000000	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%)
MOVZ W9, #9	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%)
MOVK X8, #63861	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%)
MOVK X8, #24685	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%)
MOVK X8, #1555	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%)
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
HINT #0																			N/A
FMOV D0, D8	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%)
STR X10, [X0]	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%)
BL 410150 <@plt_start@+0x130>	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
FMOV D1, #-2.0000000	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%)
FMUL D0, D0, D1	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
FDIV D0, D0, D8	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-15	1.75-3.50	scal (25.0%)
FSQRT D0, D0	1	0	0	0	0	0	0	0.50	0	0.50	0	0	0	0	0	0	7-16	1.75-3.75	scal (25.0%)
FMUL D0, D9, D0	1	0	0	0	0	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	3	0.25	scal (25.0%)
LDP X29, X30, [SP, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP D9, D8, [SP], #32	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0.33	0.33	0.33	0	0	6	0.33	vect (50.0%)
RET	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

Name	Coverage (%)	Time (s)
▼gasdev–	0.01	0.00
○Loop 109 - random.c:26-48 - exec	0.01	0.00

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Code clean check

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Vectorization

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Workaround

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