OV - exec - Function generate_chunk(int, global_variables&) [clone ._omp

	Function: generate_chunk(int, global_variables&) [clone ._omp_fn.0]	Module: exec	Source: generate_chunk.cpp:74-80 [...]	Coverage (incl. loops): 0.05% \| (excl. loops): 0.00%

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h: 46 - 69

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

46:   T &operator[](size_t i) const { return data[i]; }

[...]

69:   T &operator()(size_t i, size_t j) const { return data[i + j * sizeX]; }

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp: 74 - 80

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

74: #pragma omp parallel for simd collapse(2)

75:   for (int j = (0); j < (yrange); j++) {

76:     for (int i = (0); i < (xrange); i++) {

77:       field.energy0(i, j) = state_energy[0];

78:       field.density0(i, j) = state_density[0];

79:       field.xvel0(i, j) = state_xvel[0];

80:       field.yvel0(i, j) = state_yvel[0];

0x430620 STP	X29, X30, [SP, #960]!

0x430624 ADD	X29, SP, #0

0x430628 STP	X19, X20, [SP, #16]

0x43062c LDP	W19, W20, [X0, #40]

0x430630 CMP	W20, #0

0x430634 B.LE	430794

0x430638 CMP	W19, #0

0x43063c B.LE	430794

0x430640 STP	X21, X22, [SP, #32]

0x430644 ORR	X22, XZR, X0

0x430648 STR	X23, [SP, #48]

0x43064c MUL	W23, W20, W19

0x430650 BL	410670

0x430654 ORR	W21, WZR, W0

0x430658 BL	410550

0x43065c UDIV	W1, W23, W21

0x430660 ORR	W2, WZR, W0

0x430664 MSUB	W3, W1, W21, W23

0x430668 CMP	W0, W3

0x43066c B.CC	4307a0

0x430670 MADD	W2, W1, W2, W3

0x430674 ADD	W14, W1, W2

0x430678 CMP	W2, W14

0x43067c B.CS	43078c

0x430680 UDIV	W10, W2, W19

0x430684 LDR	X12, [X22, #32]

0x430688 CNTD	X11, ALL

0x43068c LDP	X18, X17, [X22]

0x430690 PTRUE	P6.B, ALL

0x430694 LDP	X16, X15, [X22, #16]

0x430698 MSUB	W6, W10, W19, W2

0x43069c SBFM	X10, X10, #0, #31

0x4306a0 SUB	W0, W19, W6

0x4306a4 CMP	W1, W0

0x4306a8 CSEL	W1, W1, W0, #9

0x4306ac ADD	W13, W2, W1

0x4306b0 CMP	W2, W13

0x4306b4 B.CS	43077c

0x4306b8 HINT	#0

0x4306bc HINT	#0

  (250) 0x4306c0 LDR	X5, [X12]

  (250) 0x4306c4 SBFM	X6, X6, #0, #31

  (250) 0x4306c8 MOVZ	X0, #0

  (250) 0x4306cc WHILELO	P7.D, WZR, W1

  (250) 0x4306d0 LDR	X4, [X12, #48]

  (250) 0x4306d4 LDR	X3, [X12, #168]

  (250) 0x4306d8 MADD	X5, X10, X5, X6

  (250) 0x4306dc LDR	X2, [X12, #216]

  (250) 0x4306e0 MADD	X4, X10, X4, X6

  (250) 0x4306e4 LDR	X9, [X12, #16]

  (250) 0x4306e8 MADD	X3, X10, X3, X6

  (250) 0x4306ec LDR	X8, [X12, #64]

  (250) 0x4306f0 MADD	X2, X10, X2, X6

  (250) 0x4306f4 LDR	X7, [X12, #184]

  (250) 0x4306f8 ADD	X5, X9, X5,LSL #3

  (250) 0x4306fc LDR	X6, [X12, #232]

  (250) 0x430700 ADD	X4, X8, X4,LSL #3

  (250) 0x430704 LDR	X9, [X17, #8]

  (250) 0x430708 ADD	X3, X7, X3,LSL #3

  (250) 0x43070c LDR	X8, [X18, #8]

  (250) 0x430710 ADD	X2, X6, X2,LSL #3

  (250) 0x430714 LDR	X7, [X16, #8]

  (250) 0x430718 LDR	X6, [X15, #8]

  (250) 0x43071c HINT	#0

    (249) 0x430720 LD1RD	{Z28.D}, P6/Z, [X9]

    (249) 0x430724 ST1D	{Z28.D}, P7, [X4, X0,LSL #3]

    (249) 0x430728 LD1RD	{Z29.D}, P6/Z, [X8]

    (249) 0x43072c ST1D	{Z29.D}, P7, [X5, X0,LSL #3]

    (249) 0x430730 LD1RD	{Z30.D}, P6/Z, [X7]

    (249) 0x430734 ST1D	{Z30.D}, P7, [X3, X0,LSL #3]

    (249) 0x430738 LD1RD	{Z31.D}, P6/Z, [X6]

    (249) 0x43073c ST1D	{Z31.D}, P7, [X2, X0,LSL #3]

    (249) 0x430740 ADD	X0, X0, X11

    (249) 0x430744 WHILELO	P7.D, W0, W1

    (249) 0x430748 B.NE	430720

  (250) 0x43074c ADD	X10, X10, #1

  (250) 0x430750 CMP	W20, W10

  (250) 0x430754 B.LE	43078c

  (250) 0x430758 SUB	W1, W14, W13

  (250) 0x43075c ORR	W0, WZR, W19

  (250) 0x430760 ORR	W2, WZR, W13

  (250) 0x430764 CMP	W1, W0

  (250) 0x430768 CSEL	W1, W1, W0, #9

  (250) 0x43076c ADD	W13, W2, W1

  (250) 0x430770 MOVZ	W6, #0

  (250) 0x430774 CMP	W2, W13

  (250) 0x430778 B.CC	4306c0

(251) 0x43077c ADD	X10, X10, #1

(251) 0x430780 ORR	W13, WZR, W2

(251) 0x430784 CMP	W20, W10

(251) 0x430788 B.GT	430758

0x43078c LDR	X23, [SP, #48]

0x430790 LDP	X21, X22, [SP, #32]

0x430794 LDP	X19, X20, [SP, #16]

0x430798 LDP	X29, X30, [SP], #64

0x43079c RET

0x4307a0 ADD	W1, W1, #1

0x4307a4 MOVZ	W3, #0

0x4307a8 B	430670

Coverage (%)	Name	Source Location	Module
►98.34+	omp_fulfill_event		libgomp.so.1.0.0
○	start_thread		libc.so.6
○	thread_start		libc.so.6
►1.66+	GOMP_parallel		libgomp.so.1.0.0
○	generate_chunk(int, global_var[...]	generate_chunk.cpp:84	exec
○	start(parallel_&, global_confi[...]	start.cpp:81	exec
○	initialise(parallel_&, std::ve[...]	clover_leaf.cpp:192	exec
○	main	clover_leaf.cpp:204	exec
○	__libc_start_call_main		libc.so.6
○	__libc_start_main		libc.so.6
○	_start	clover_leaf.cpp:51	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 gcc_0

Source file and lines	generate_chunk.cpp:74-80
Module	exec

The function is defined in:

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74-80

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 25.00 to 12.50 cycles (2.00x 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 25.00 to 15.62 cycles (1.60x 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)

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 25.00 to 6.50 cycles (3.85x 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/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74
- /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74

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 does not load or store any data.

General properties

nb instructions	48
nb uops	46
loop length	192
used w registers	13
used x registers	16
used b registers	0
used h registers	0
used s registers	1
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	8

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	5.75 cycles
front end	5.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	7.00	7.00	7.00	7.00	0.00	0.00	0.00	0.00	4.00	4.00	4.00	2.00	2.00
cycles	4.50	4.50	7.00	7.00	7.00	7.00	0.00	0.00	0.00	0.00	4.00	4.00	4.00	2.00	2.00

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

10.00-25.00

Cycles summary

Front-end	5.75
Dispatch	7.00
DIV/SQRT	10.00-25.00
Overall L1	10.00-25.00

Vectorization ratios

all	0%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

all	29%
load	39%
store	43%
mul	12%
add-sub	16%
fma	12%
div/sqrt	12%
other	28%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 25.00 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 430620

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, #960]!	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%)
LDP W19, W20, [X0, #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%)
CMP W20, #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 430794 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x174>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP W19, #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 430794 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x174>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
STP X21, X22, [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 (50.0%)
ORR X22, 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 X23, [SP, #48]	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%)
MUL W23, W20, W19	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (12.5%)
BL 410670 <@plt_start@+0x650>	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 W21, 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 410550 <@plt_start@+0x530>	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
UDIV W1, W23, W21	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	N/A
ORR W2, 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%)
MSUB W3, W1, W21, W23	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
CMP W0, W3	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.CC 4307a0 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x180>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MADD W2, W1, W2, W3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
ADD W14, W1, W2	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%)
CMP W2, W14	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.CS 43078c <_Z14generate_chunkiR16global_variables._omp_fn.0+0x16c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UDIV W10, W2, W19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	scal (12.5%)
LDR X12, [X22, #32]	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%)
CNTD X11, ALL	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDP X18, X17, [X22]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
PTRUE P6.B, ALL	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (100.0%)
LDP X16, X15, [X22, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
MSUB W6, W10, W19, W2	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
SBFM X10, X10, #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%)
SUB W0, W19, W6	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 W1, W0	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%)
CSEL W1, W1, W0, #9	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 W13, W2, W1	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%)
CMP W2, W13	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.CS 43077c <_Z14generate_chunkiR16global_variables._omp_fn.0+0x15c>	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
LDR X23, [SP, #48]	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 X21, X22, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X19, X20, [SP, #16]	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	scal (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
ADD W1, W1, #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 W3, #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 430670 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x50>	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 gcc_0

Source file and lines	generate_chunk.cpp:74-80
Module	exec

The function is defined in:

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74-80

Warnings:
Ignoring paths for analysis

gain
potential
hint
expert

Code clean check

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)

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 25.00 to 6.50 cycles (3.85x speedup).

CALL instructions

Detected function call instructions.

Details

unknown: 2 occurrences►
- /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74
- /home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/generate_chunk.cpp:74

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 does not load or store any data.

General properties

nb instructions	48
nb uops	46
loop length	192
used w registers	13
used x registers	16
used b registers	0
used h registers	0
used s registers	1
used d registers	0
used q registers	0
used v registers	0
used z registers	0
nb stack references	8

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	5.75 cycles
front end	5.75 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	4.50	4.50	7.00	7.00	7.00	7.00	0.00	0.00	0.00	0.00	4.00	4.00	4.00	2.00	2.00
cycles	4.50	4.50	7.00	7.00	7.00	7.00	0.00	0.00	0.00	0.00	4.00	4.00	4.00	2.00	2.00

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

10.00-25.00

Cycles summary

Front-end	5.75
Dispatch	7.00
DIV/SQRT	10.00-25.00
Overall L1	10.00-25.00

Vectorization ratios

all	0%
load	0%
store	0%
mul	0%
add-sub	0%
fma	0%
div/sqrt	0%
other	0%

Vector efficiency ratios

all	29%
load	39%
store	43%
mul	12%
add-sub	16%
fma	12%
div/sqrt	12%
other	28%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each call to the function takes 25.00 cycles.

Front-end bottlenecks

Found no such bottlenecks.

ASM code

In the binary file, the address of the function is: 430620

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, #960]!	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%)
LDP W19, W20, [X0, #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%)
CMP W20, #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 430794 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x174>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
CMP W19, #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 430794 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x174>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
STP X21, X22, [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 (50.0%)
ORR X22, 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 X23, [SP, #48]	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%)
MUL W23, W20, W19	1	0	0	0	0	0.50	0.50	0	0	0	0	0	0	0	0	0	2	0.50	scal (12.5%)
BL 410670 <@plt_start@+0x650>	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 W21, 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 410550 <@plt_start@+0x530>	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
UDIV W1, W23, W21	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	N/A
ORR W2, 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%)
MSUB W3, W1, W21, W23	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
CMP W0, W3	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.CC 4307a0 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x180>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
MADD W2, W1, W2, W3	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
ADD W14, W1, W2	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%)
CMP W2, W14	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.CS 43078c <_Z14generate_chunkiR16global_variables._omp_fn.0+0x16c>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A
UDIV W10, W2, W19	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	5-12	5-12.50	scal (12.5%)
LDR X12, [X22, #32]	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%)
CNTD X11, ALL	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (25.0%)
LDP X18, X17, [X22]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
PTRUE P6.B, ALL	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (100.0%)
LDP X16, X15, [X22, #16]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	scal (50.0%)
MSUB W6, W10, W19, W2	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	2	1	scal (12.5%)
SBFM X10, X10, #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%)
SUB W0, W19, W6	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 W1, W0	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%)
CSEL W1, W1, W0, #9	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 W13, W2, W1	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%)
CMP W2, W13	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.CS 43077c <_Z14generate_chunkiR16global_variables._omp_fn.0+0x15c>	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
LDR X23, [SP, #48]	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 X21, X22, [SP, #32]	1	0	0	0	0	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDP X19, X20, [SP, #16]	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	scal (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
ADD W1, W1, #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 W3, #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 430670 <_Z14generate_chunkiR16global_variables._omp_fn.0+0x50>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Name	Coverage (%)	Time (s)
▼generate_chunk(int, global_variables&) [clone ._omp_fn.0]–	0.05	0.06
▼Loop 251 - generate_chunk.cpp:74-80 - exec–	0.00	0.00
▼Loop 250 - generate_chunk.cpp:74-80 - exec–	0.00	0.00
○Loop 249 - generate_chunk.cpp:77-80 - exec	0.05	0.06

Report Configuration

Code clean check

Workaround

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

Code clean check

Workaround

Vectorization

Details

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