OV - exec - Loop 176

	Loop Id: 176	Module: exec	Source: advec_cell.cpp:159-202 [...]	Coverage: NA%

0x42e160 CMP	W7, W21

0x42e164 CSEL	W20, W7, W21, #9

0x42e168 ADD	W6, W23, W20

0x42e16c ADD	W30, W12, #1

0x42e170 CMP	W23, W6

0x42e174 B.CS	42e380

0x42e178 LDR	X8, [X25]

0x42e17c SBFM	X0, X9, #0, #31

0x42e180 SUB	W22, W20, #1

0x42e184 ADD	X7, X0, #1

0x42e188 SBFM	X28, X2, #0, #31

0x42e18c STR	W6, [SP, #108]

0x42e190 LDR	X3, [X25, #16]

0x42e194 ADD	X14, X7, X22

0x42e198 STR	X16, [SP, #128]

0x42e19c LDR	X27, [X15]

0x42e1a0 MUL	X5, X12, X8

0x42e1a4 LDR	X22, [X26]

0x42e1a8 LDR	X4, [X15, #16]

0x42e1ac ADD	X20, X3, X5,LSL #3

0x42e1b0 MUL	X19, X12, X27

0x42e1b4 LDR	X3, [SP, #144]

0x42e1b8 LDR	X27, [X26, #16]

0x42e1bc ADD	X21, X4, X19,LSL #3

0x42e1c0 MUL	X4, X12, X22

0x42e1c4 LDR	X10, [X1]

0x42e1c8 LDR	X22, [X3, #8]

0x42e1cc ADD	X19, X27, X4,LSL #3

0x42e1d0 LDR	X13, [X16]

0x42e1d4 LDR	X23, [X17]

0x42e1d8 ADD	X27, X22, X12,LSL #3

0x42e1dc LDR	X18, [X17, #16]

0x42e1e0 LDR	X9, [X1, #16]

0x42e1e4 LDR	X8, [X16, #16]

0x42e1e8 STP	X25, X17, [SP, #112]

  (177) 0x42e1ec ORR	X5, XZR, X11

  (177) 0x42e1f0 ORR	X4, XZR, X28

  (177) 0x42e1f4 ORR	X17, XZR, X12

  (177) 0x42e1f8 ORR	X6, XZR, X11

  (177) 0x42e1fc LDR	D21, [X20, X0,LSL #3]

  (177) 0x42e200 FCMPE	D21, #0

  (177) 0x42e204 B.GT	42e220

  (177) 0x42e208 CMP	W24, W30

  (177) 0x42e20c CSEL	W25, W24, W30, #13

  (177) 0x42e210 SBFM	X6, X25, #0, #31

  (177) 0x42e214 ORR	X17, XZR, X11

  (177) 0x42e218 ORR	X5, XZR, X12

  (177) 0x42e21c ORR	X4, XZR, X6

  (177) 0x42e220 MADD	X16, X23, X5, X0

  (177) 0x42e224 FABS	D31, D21

  (177) 0x42e228 LDR	D28, [X22, X6,LSL #3]

  (177) 0x42e22c MADD	X6, X13, X5, X0

  (177) 0x42e230 MADD	X25, X13, X17, X0

  (177) 0x42e234 LDR	D26, [X27]

  (177) 0x42e238 UBFM	X16, X16, #61, #60

  (177) 0x42e23c MADD	X3, X10, X5, X0

  (177) 0x42e240 UBFM	X6, X6, #61, #60

  (177) 0x42e244 MADD	X5, X10, X17, X0

  (177) 0x42e248 LDR	D29, [X18, X16]

  (177) 0x42e24c MADD	X17, X13, X4, X0

  (177) 0x42e250 MADD	X4, X10, X4, X0

  (177) 0x42e254 LDR	D30, [X8, X6]

  (177) 0x42e258 FDIV	D2, D26, D28

  (177) 0x42e25c LDR	D3, [X8, X25,LSL #3]

  (177) 0x42e260 LDR	D27, [X8, X17,LSL #3]

  (177) 0x42e264 FDIV	D0, D31, D29

  (177) 0x42e268 FSUB	D4, D3, S30

  (177) 0x42e26c FSUB	D1, D30, S27

  (177) 0x42e270 FCMPE	D4, #0

  (177) 0x42e274 FABS	D5, D4

  (177) 0x42e278 FMUL	D6, D4, D1

  (177) 0x42e27c FABS	D20, D1

  (177) 0x42e280 FMINNM	D18, D5, D20

  (177) 0x42e284 FCSEL	D7, D24, D25, #9

  (177) 0x42e288 FCMPE	D6, #0

  (177) 0x42e28c FADD	D16, D0, D25

  (177) 0x42e290 FSUB	D19, D25, S0

  (177) 0x42e294 FSUB	D31, D22, S0

  (177) 0x42e298 FMUL	D0, D2, D16

  (177) 0x42e29c B.LS	42e2b8

  (177) 0x42e2a0 FMUL	D17, D5, D31

  (177) 0x42e2a4 FMADD	D28, D20, D0, D17

  (177) 0x42e2a8 FMUL	D29, D28, D23

  (177) 0x42e2ac FMINNM	D27, D29, D18

  (177) 0x42e2b0 FMUL	D1, D27, D19

  (177) 0x42e2b4 FMADD	D30, D1, D7, D30

  (177) 0x42e2b8 FMUL	D26, D30, D21

  (177) 0x42e2bc STR	D26, [X19, X0,LSL #3]

  (177) 0x42e2c0 FABS	D21, D26

  (177) 0x42e2c4 LDR	D2, [X9, X3,LSL #3]

  (177) 0x42e2c8 LDR	D19, [X9, X5,LSL #3]

  (177) 0x42e2cc LDR	D20, [X9, X4,LSL #3]

  (177) 0x42e2d0 FMUL	D3, D2, D26

  (177) 0x42e2d4 FSUB	D4, D19, S2

  (177) 0x42e2d8 FSUB	D5, D2, S20

  (177) 0x42e2dc FABS	D6, D4

  (177) 0x42e2e0 FCMPE	D4, #0

  (177) 0x42e2e4 FMUL	D16, D4, D5

  (177) 0x42e2e8 FABS	D7, D5

  (177) 0x42e2ec FMINNM	D18, D6, D7

  (177) 0x42e2f0 FMUL	D31, D6, D31

  (177) 0x42e2f4 FCSEL	D17, D24, D25, #9

  (177) 0x42e2f8 FCMPE	D16, #0

  (177) 0x42e2fc FMADD	D0, D7, D0, D31

  (177) 0x42e300 B.LS	42e360

  (177) 0x42e304 LDR	D29, [X18, X16]

  (177) 0x42e308 FMUL	D1, D0, D23

  (177) 0x42e30c FMINNM	D30, D1, D18

  (177) 0x42e310 LDR	D28, [X8, X6]

  (177) 0x42e314 FMUL	D27, D29, D28

  (177) 0x42e318 FDIV	D21, D21, D27

  (177) 0x42e31c FSUB	D19, D25, S21

  (177) 0x42e320 FMUL	D20, D19, D30

  (177) 0x42e324 FMADD	D2, D20, D17, D2

  (177) 0x42e328 FMUL	D26, D2, D26

  (177) 0x42e32c STR	D26, [X21, X0,LSL #3]

  (177) 0x42e330 ORR	X0, XZR, X7

  (177) 0x42e334 CMP	X7, X14

  (177) 0x42e338 B.EQ	42e370

  (177) 0x42e33c ADD	X7, X7, #1

  (177) 0x42e340 B	42e1ec

  (177) 0x42e360 STR	D3, [X21, X0,LSL #3]

  (177) 0x42e364 ORR	X0, XZR, X7

  (177) 0x42e368 CMP	X14, X7

  (177) 0x42e36c B.NE	42e33c

0x42e370 LDR	W30, [SP, #108]

0x42e374 LDP	X25, X17, [SP, #112]

0x42e378 LDR	X16, [SP, #128]

0x42e37c ORR	W23, WZR, W30

0x42e380 ADD	X12, X12, #1

0x42e384 ADD	X11, X11, #1

0x42e388 LDR	W28, [SP, #152]

0x42e38c ADD	W2, W2, #1

0x42e390 CMP	W28, W12

0x42e394 B.LE	42e344

0x42e398 LDP	W21, W7, [SP, #136]

0x42e39c LDR	W9, [SP, #156]

0x42e3a0 SUB	W7, W7, W23

0x42e3a4 B	42e160

/usr/include/c++/14/bits/stl_algobase.h: 238 - 238

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

238:       if (__b < __a)

/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/advec_cell.cpp: 159 - 202

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

159:       for (int i = (x_min + 1); i < (x_max + 2); i++)

160:         ({

161:           int upwind, donor, downwind, dif;

162:           double sigmat, sigma3, sigma4, sigmav, sigmam, diffuw, diffdw, limiter, wind;

163:           if (vol_flux_y(i, j) > 0.0) {

[...]

174:           sigmat = std::fabs(vol_flux_y(i, j)) / pre_vol(i, donor);

175:           sigma3 = (1.0 + sigmat) * (vertexdy[j] / vertexdy[dif]);

176:           sigma4 = 2.0 - sigmat;

177:           sigmav = sigmat;

178:           diffuw = density1(i, donor) - density1(i, upwind);

179:           diffdw = density1(i, downwind) - density1(i, donor);

180:           wind = 1.0;

181:           if (diffdw <= 0.0) wind = -1.0;

182:           if (diffuw * diffdw > 0.0) {

183:             limiter = (1.0 - sigmav) * wind *

184:                       std::fmin(std::fmin(std::fabs(diffuw), std::fabs(diffdw)),

185:                                 one_by_six * (sigma3 * std::fabs(diffuw) + sigma4 * std::fabs(diffdw)));

186:           } else {

187:             limiter = 0.0;

188:           }

189:           mass_flux_y(i, j) = vol_flux_y(i, j) * (density1(i, donor) + limiter);

190:           sigmam = std::fabs(mass_flux_y(i, j)) / (density1(i, donor) * pre_vol(i, donor));

191:           diffuw = energy1(i, donor) - energy1(i, upwind);

192:           diffdw = energy1(i, downwind) - energy1(i, donor);

193:           wind = 1.0;

194:           if (diffdw <= 0.0) wind = -1.0;

195:           if (diffuw * diffdw > 0.0) {

196:             limiter = (1.0 - sigmam) * wind *

197:                       std::fmin(std::fmin(std::fabs(diffuw), std::fabs(diffdw)),

198:                                 one_by_six * (sigma3 * std::fabs(diffuw) + sigma4 * std::fabs(diffdw)));

199:           } else {

200:             limiter = 0.0;

201:           }

202:           ener_flux(i, j) = mass_flux_y(i, j) * (energy1(i, donor) + limiter);

/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]; }

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	2.34
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.02
Bottlenecks	P10,
Function	advec_cell_kernel(int, int, int, int, int, int, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.6]
Source	advec_cell.cpp:159-159,advec_cell.cpp:175-175,advec_cell.cpp:178-178,advec_cell.cpp:202-202,context.h:46-46,context.h:69-69
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.83
CQA cycles if no scalar integer	7.83
CQA cycles if FP arith vectorized	7.83
CQA cycles if fully vectorized	3.35
Front-end cycles	6.13
P0 cycles	1.50
P1 cycles	1.50
P2 cycles	5.75
P3 cycles	5.75
P4 cycles	5.75
P5 cycles	5.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	7.83
P11 cycles	7.50
P12 cycles	7.67
P13 cycles	1.50
P14 cycles	1.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	49.00
Nb uops	49.00
Nb loads	NA
Nb stores	3.00
Nb stack references	10.00
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	1.53
Bytes prefetched	0.00
Bytes loaded	9.00
Bytes stored	3.00
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	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.68
Vector-efficiency ratio load	22.32
Vector-efficiency ratio store	29.17
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	20.45
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	41.67

Metric	Value
CQA speedup if no scalar integer	1.00
CQA speedup if FP arith vectorized	1.00
CQA speedup if fully vectorized	2.34
CQA speedup if no inter-iteration dependency	NA
CQA speedup if next bottleneck killed	1.02
Bottlenecks	P10,
Function	advec_cell_kernel(int, int, int, int, int, int, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.6]
Source	advec_cell.cpp:159-159,advec_cell.cpp:175-175,advec_cell.cpp:178-178,advec_cell.cpp:202-202,context.h:46-46,context.h:69-69
Source loop unroll info	NA
Source loop unroll confidence level	NA
Unroll/vectorization loop type	NA
Unroll factor	NA
CQA cycles	7.83
CQA cycles if no scalar integer	7.83
CQA cycles if FP arith vectorized	7.83
CQA cycles if fully vectorized	3.35
Front-end cycles	6.13
P0 cycles	1.50
P1 cycles	1.50
P2 cycles	5.75
P3 cycles	5.75
P4 cycles	5.75
P5 cycles	5.75
P6 cycles	0.00
P7 cycles	0.00
P8 cycles	0.00
P9 cycles	0.00
P10 cycles	7.83
P11 cycles	7.50
P12 cycles	7.67
P13 cycles	1.50
P14 cycles	1.50
DIV/SQRT cycles	0.00
Inter-iter dependencies cycles	NA
FE+BE cycles (UFS)	NA
Stall cycles (UFS)	NA
Nb insns	49.00
Nb uops	49.00
Nb loads	NA
Nb stores	3.00
Nb stack references	10.00
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	1.53
Bytes prefetched	0.00
Bytes loaded	9.00
Bytes stored	3.00
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	0.00
Vectorization ratio mul	0.00
Vectorization ratio add_sub	0.00
Vectorization ratio fma	NA
Vectorization ratio div_sqrt	NA
Vectorization ratio other	0.00
Vector-efficiency ratio all	25.68
Vector-efficiency ratio load	22.32
Vector-efficiency ratio store	29.17
Vector-efficiency ratio mul	25.00
Vector-efficiency ratio add_sub	20.45
Vector-efficiency ratio fma	NA
Vector-efficiency ratio div_sqrt	NA
Vector-efficiency ratio other	41.67

Path /

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

Function	advec_cell_kernel(int, int, int, int, int, int, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.6]
Source file and lines	advec_cell.cpp:159-202
Module	exec

The loop is defined in:

/usr/include/c++/14/bits/stl_algobase.h:238
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/advec_cell.cpp:159-163,174-202
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=17
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 17 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 25% of vector register length is used (average across all VPU instructions). By vectorizing your loop, you can lower the cost of an iteration from 7.83 to 3.35 cycles (2.34x 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 is loading 9 bytes. The binary loop is storing 3 bytes.

General properties

nb instructions	49
nb uops	49
loop length	196
used w registers	12
used x registers	27
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	10

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.13 cycles
front end	6.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.50	1.50	5.75	5.75	5.75	5.75	0.00	0.00	0.00	0.00	7.83	7.50	7.67	1.50	1.50
cycles	1.50	1.50	5.75	5.75	5.75	5.75	0.00	0.00	0.00	0.00	7.83	7.50	7.67	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

Cycles summary

Front-end	6.13
Dispatch	7.83
Overall L1	7.83

Vectorization ratios

all	0%
load	0%
store	0%
mul	0%
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	25%
load	22%
store	29%
mul	25%
add-sub	20%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	41%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.83 cycles. At this rate:

1% of peak load performance is reached (1.15 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.38 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 loop is: 42e160

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W20, W7, W21, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W6, W23, W20	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W30, W12, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
CMP W23, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42e380 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0x310>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X25]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SBFM X0, X9, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (100.0%)
SUB W22, W20, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X7, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
SBFM X28, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (100.0%)
STR W6, [SP, #108]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
LDR X3, [X25, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X14, X7, X22	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
STR X16, [SP, #128]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X27, [X15]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X5, X12, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X22, [X26]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X4, [X15, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X20, X3, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
MUL X19, X12, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X3, [SP, #144]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X27, [X26, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X21, X4, X19,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
MUL X4, X12, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X10, [X1]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X22, [X3, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X19, X27, X4,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X13, [X16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X23, [X17]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X27, X22, X12,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X18, [X17, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X9, [X1, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X8, [X16, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STP X25, X17, [SP, #112]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR W30, [SP, #108]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
LDP X25, X17, [SP, #112]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X16, [SP, #128]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ORR W23, WZR, W30	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X12, X12, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X11, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W28, [SP, #152]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ADD W2, W2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
CMP W28, W12	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42e344 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0x2d4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP W21, W7, [SP, #136]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR W9, [SP, #156]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W7, W7, W23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
B 42e160 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0xf0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A

Function	advec_cell_kernel(int, int, int, int, int, int, clover::Buffer1D&, clover::Buffer1D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&, clover::Buffer2D&) [clone ._omp_fn.6]
Source file and lines	advec_cell.cpp:159-202
Module	exec

The loop is defined in:

/usr/include/c++/14/bits/stl_algobase.h:238
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/advec_cell.cpp:159-163,174-202
/home/eoseret/qaas/qaas_runs/178-219-7589/intel/CloverLeaf2.0-CXX/build/CloverLeaf2.0-CXX/src/omp/context.h:46,69

Warnings:

Non-innermost loop: analyzing only self part (ignoring child loops).
Ignoring paths for analysis
Too many paths. Rerun with max-paths=17
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 is loading 9 bytes. The binary loop is storing 3 bytes.

General properties

nb instructions	49
nb uops	49
loop length	196
used w registers	12
used x registers	27
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	10

Front-end

MACRO FUSION NOT POSSIBLE FIT IN UOP CACHE

micro-operation queue	6.13 cycles
front end	6.13 cycles

Back-end

	P0	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10	P11	P12	P13	P14
uops	1.50	1.50	5.75	5.75	5.75	5.75	0.00	0.00	0.00	0.00	7.83	7.50	7.67	1.50	1.50
cycles	1.50	1.50	5.75	5.75	5.75	5.75	0.00	0.00	0.00	0.00	7.83	7.50	7.67	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

Cycles summary

Front-end	6.13
Dispatch	7.83
Overall L1	7.83

Vectorization ratios

all	0%
load	0%
store	0%
mul	0%
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	25%
load	22%
store	29%
mul	25%
add-sub	20%
fma	NA (no fma vectorizable/vectorized instructions)
div/sqrt	NA (no div/sqrt vectorizable/vectorized instructions)
other	41%

Cycles and memory resources usage

Assuming all data fit into the L1 cache, each iteration of the binary loop takes 7.83 cycles. At this rate:

1% of peak load performance is reached (1.15 out of 96.00 bytes loaded per cycle (GB/s @ 1GHz))
0% of peak store performance is reached (0.38 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 loop is: 42e160

Instruction	Nb FU	P0	P1	P2	P3	P4	P5	P10	P11	P12	P13	P14	Latency	Recip. throughput	Vectorization
CMP W7, W21	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
CSEL W20, W7, W21, #9	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W6, W23, W20	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD W30, W12, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
CMP W23, W6	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.CS 42e380 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0x310>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDR X8, [X25]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
SBFM X0, X9, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (100.0%)
SUB W22, W20, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
ADD X7, X0, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
SBFM X28, X2, #0, #31	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (100.0%)
STR W6, [SP, #108]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (12.5%)
LDR X3, [X25, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X14, X7, X22	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
STR X16, [SP, #128]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (25.0%)
LDR X27, [X15]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
MUL X5, X12, X8	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X22, [X26]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X4, [X15, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X20, X3, X5,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
MUL X19, X12, X27	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X3, [SP, #144]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR X27, [X26, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X21, X4, X19,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
MUL X4, X12, X22	1	0	0	0	0	0.50	0.50	0	0	0	0	0	2	0.50	scal (25.0%)
LDR X10, [X1]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X22, [X3, #8]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
ADD X19, X27, X4,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X13, [X16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X23, [X17]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ADD X27, X22, X12,LSL #3	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR X18, [X17, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X9, [X1, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
LDR X8, [X16, #16]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (25.0%)
STP X25, X17, [SP, #112]	1	0	0	0	0	0	0	0.50	0.50	0	0.50	0.50	1	0.50	scal (50.0%)
LDR W30, [SP, #108]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
LDP X25, X17, [SP, #112]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	1	N/A
LDR X16, [SP, #128]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
ORR W23, WZR, W30	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
ADD X12, X12, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
ADD X11, X11, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (25.0%)
LDR W28, [SP, #152]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
ADD W2, W2, #1	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	scal (12.5%)
CMP W28, W12	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.33	scal (12.5%)
B.LE 42e344 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0x2d4>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A
LDP W21, W7, [SP, #136]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	N/A
LDR W9, [SP, #156]	1	0	0	0	0	0	0	0.33	0.33	0.33	0	0	4	0.33	scal (12.5%)
SUB W7, W7, W23	1	0	0	0.25	0.25	0.25	0.25	0	0	0	0	0	1	0.25	N/A
B 42e160 <_Z17advec_cell_kerneliiiiiiRN6clover8Buffer1DIdEES2_RNS_8Buffer2DIdEES5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_S5_._omp_fn.6+0xf0>	1	0.50	0.50	0	0	0	0	0	0	0	0	0	1	0.50	N/A

▶Scalability Runs Description

Run 1x1	Number processes: 1Number nodes: NARun Command: <executable>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_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>MPI 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/178-219-7589/intel/CloverLeaf2.0-CXX/run/oneview_runs/multicore/gcc_4/oneview_run_1782227431OMP_NUM_THREADS: 64OMP_PROC_BIND: spreadOMP_DISPLAY_AFFINITY: TRUEOMP_AFFINITY_FORMAT: 'OMP: pid %P tid %i thread %n bound to OS proc set {%A}'OMP_DISPLAY_ENV: TRUEOMP_PLACES: threads

(1x1) Efficiency	(1x1) Potential Speed-Up (%)	(1x2) Efficiency	(1x2) Potential Speed-Up (%)	(1x4) Efficiency	(1x4) Potential Speed-Up (%)	(1x8) Efficiency	(1x8) Potential Speed-Up (%)	(1x16) Efficiency	(1x16) Potential Speed-Up (%)	(1x24) Efficiency	(1x24) Potential Speed-Up (%)	(1x32) Efficiency	(1x32) Potential Speed-Up (%)	(1x40) Efficiency	(1x40) Potential Speed-Up (%)	(1x48) Efficiency	(1x48) Potential Speed-Up (%)	(1x56) Efficiency	(1x56) Potential Speed-Up (%)	(1x64) Efficiency	(1x64) Potential Speed-Up (%)
				1	0	1	0			1	0	1	0	1	0	1	0	1	0	1	0

Speed-Up and Efficiency

▶Detailed Speed-Up and Efficiency

Run	Number of threads	Efficiency (ideal is 1)	Speedup	Ideal Speedup	Time (s)	Coverage (%)
1x1
1x2
1x4	1	1	1	4	0.03999999910593	0.0026325115468353
1x8	1	1	1	8	0.025000000372529	0.001462392276153
1x16
1x24	10	1	1	24	0.029999999329448	0.0058978358283639
1x32	28	1	1	32	0.03999999910593	0.01494459901005
1x40	33	1	1	40	0.064999997615814	0.015983548015356
1x48	38	1	1	48	0.045000001788139	0.01562643237412
1x56	46	1	1	56	0.03999999910593	0.015469429083169
1x64	56	1	1	64	0.050000000745058	0.015821365639567

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