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Differential D49891

[test-suite] Added srad kernel from Rodinia Benchmark
ClosedPublic

Authored by proton on Jul 26 2018, 5:16 PM.

Details

Reviewers
bollu
Meinersbur
homerdin
hfinkel
MatzeB
cmatthews
Commits
rOLDT338169: [test-suite] Add srad kernel from Rodinia Benchmark
rL338169: [test-suite] Add srad kernel from Rodinia Benchmark
Summary

Runtime
O3 -> Kernel 0.65, total -0.88 sec
O3+Polly -> kernel 0.60, total - 0.84 sec

Diff Detail

Event Timeline

proton created this revision.Jul 26 2018, 5:16 PM
Herald added a reviewer: bollu. · View Herald TranscriptJul 26 2018, 5:16 PM
Herald added a subscriber: mgorny. · View Herald Transcript
proton edited the summary of this revision. (Show Details)Jul 26 2018, 5:17 PM
proton added reviewers: Meinersbur, homerdin, hfinkel, MatzeB, cmatthews.
proton set the repository for this revision to rOLDT svn-test-suite.
Herald added a subscriber: llvm-commits. · View Herald TranscriptJul 26 2018, 5:17 PM
proton added a parent revision: D49896: [test-suite] Added common files requred by kernels of Rodinia Benchmark.Jul 26 2018, 5:47 PM
Meinersbur accepted this revision.Jul 26 2018, 8:05 PM

Title: Added -> Add

Otherwise, LGTM.

This revision is now accepted and ready to land.Jul 26 2018, 8:05 PM
Closed by commit rL338169: [test-suite] Add srad kernel from Rodinia Benchmark (authored by homerdin). · Explain WhyJul 27 2018, 2:44 PM
Closed by commit rOLDT338169: [test-suite] Add srad kernel from Rodinia Benchmark (authored by homerdin). · Explain Why
This revision was automatically updated to reflect the committed changes.
This revision was automatically updated to reflect the committed changes.
MatzeB added inline comments.Jul 27 2018, 5:11 PM
MultiSource/Benchmarks/Rodinia/srad/CMakeLists.txt
6

Explicitely setting WORKDIR seems unnecessary: the benchmark isn't reading any files, is it? (comparing with the reference output should work either way).

Revision Contents

PathSize
MultiSource/
Benchmarks/
Rodinia/
1 line
srad/
7 lines
9 lines
85 lines
24 lines
10487 lines
235 lines

Diff 157772

MultiSource/Benchmarks/Rodinia/CMakeLists.txt

add_subdirectory(hotspot) add_subdirectory(hotspot)
add_subdirectory(srad)

MultiSource/Benchmarks/Rodinia/srad/CMakeLists.txt

set(PROG srad)
list(APPEND LDFLAGS -lm)
set(FP_ABSTOLERANCE 0.00001)
list(APPEND CFLAGS -I${CMAKE_CURRENT_SOURCE_DIR}/../Common)
set(Source main.c sradKernel.c ../Common/glibc_compat_rand.c)
set(WORKDIR ${CMAKE_CURRENT_BINARY_DIR})
MatzeBUnsubmitted
Not Done
ReplyInline Actions

Explicitely setting WORKDIR seems unnecessary: the benchmark isn't reading any files, is it? (comparing with the reference output should work either way).

MatzeB: Explicitely setting WORKDIR seems unnecessary: the benchmark isn't reading any files, is it?
llvm_multisource()

MultiSource/Benchmarks/Rodinia/srad/Makefile

LEVEL = ../../../..
LIBS += -lm
LDFLAGS += -lm
PROG = srad
FP_ABSTOLERANCE := 0.00001
include ../../Makefile.multisrc

MultiSource/Benchmarks/Rodinia/srad/main.c

#include "glibc_compat_rand.h"
#include "srad.h"
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
void random_matrix(float I[ROWS][COLS]);
void srad_kernel(float dN[ROWS][COLS], float dS[ROWS][COLS],
float dW[ROWS][COLS], float dE[ROWS][COLS],
float I[ROWS][COLS], float J[ROWS][COLS], float c[ROWS][COLS]);
int main(int argc, char *argv[]) {
int size_I;
float(*c)[ROWS][COLS];
float(*dN)[ROWS][COLS];
float(*dS)[ROWS][COLS];
float(*dW)[ROWS][COLS];
float(*dE)[ROWS][COLS];
float(*I)[ROWS][COLS];
float(*J)[ROWS][COLS];
if ((ROWS % 16 != 0) || (COLS % 16 != 0)) {
fprintf(stderr, "ROWS and COLS must be multiples of 16\n");
exit(1);
}
size_I = COLS * ROWS;
I = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
J = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
c = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
dN = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
dS = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
dW = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
dE = (float(*)[ROWS][COLS])malloc(sizeof(float) * size_I);
for (int i = 0; i < ROWS; i++) {
for (int j = 0; j < COLS; j++) {
(*J)[i][j] = 0;
(*I)[i][j] = 0;
(*c)[i][j] = 0;
(*dN)[i][j] = 0;
(*dS)[i][j] = 0;
(*dW)[i][j] = 0;
(*dE)[i][j] = 0;
}
}
random_matrix(*I);
for (int i = 0; i < ROWS; i++) {
for (int j = 0; j < COLS; j++) {
(*J)[i][j] = (float)exp((*I)[i][j]);
}
}
srad_kernel(*dN, *dS, *dW, *dE, *I, *J, *c);
for (int i = 0; i < ROWS; i++) {
for (int j = 0; j < COLS; j++) {
if ((i * COLS + j) % GAP == 0) {
printf("%.5f\n", (*J)[i][j]);
}
}
}
free((void *)I);
free((void *)J);
free((void *)dN);
free((void *)dS);
free((void *)dW);
free((void *)dE);
free((void *)c);
return 0;
}
void random_matrix(float I[ROWS][COLS]) {
glibc_compat_srand(SEED);
for (int i = 0; i < ROWS; i++) {
for (int j = 0; j < COLS; j++) {
I[i][j] = glibc_compat_rand() / (float)RAND_MAX;
}
}
}

MultiSource/Benchmarks/Rodinia/srad/srad.h

#ifndef _SRAD_H_
#define _SRAD_H_
#define GAP 200
#define ROWS 2048
#define COLS 1024
#define Y1 0
#define Y2 127
#define X1 0
#define X2 127
#define LAMDBA 0.5
#define ITER 10
#define SEED 7
void random_matrix(float I[ROWS][COLS]);
void srad_kernel(float dN[ROWS][COLS], float dS[ROWS][COLS],
float dW[ROWS][COLS], float dE[ROWS][COLS],
float I[ROWS][COLS], float J[ROWS][COLS], float c[ROWS][COLS]);
#endif

MultiSource/Benchmarks/Rodinia/srad/srad.reference_output

1.62727
1.18601
1.99587
1.50274
1.95620
1.18466
1.74141
1.78825
2.08860
1.72757
1.51353
1.73562
1.95669
1.70116
2.11746
1.77482
1.68835
1.81856
1.42833
1.63274
1.70184
1.93129
1.81693
1.58999
1.95402
1.90793
1.61147
1.75985
2.04060
1.61741
1.89178
1.77773
1.72704
1.60919
1.72815
1.59460
1.69393
1.79998
1.78694
1.66760
1.51090
1.91296
1.58616
1.45846
1.78340
1.79905
1.47096
1.66866
1.76325
1.42211
1.51721
1.80269
1.62599
1.69245
1.80064
1.73461
1.72634
1.85344
1.53297
1.89111
1.51832
1.52604
1.77404
1.74754
1.67218
1.74553
1.84565
1.86432
1.55870
1.75210
1.79212
1.71805
1.81842
1.56154
1.77318
1.63679
1.70730
1.90617
1.72595
1.73449
1.56468
1.90211
1.29923
1.63841
1.68222
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1.56251
1.66168
1.75093
1.55156
1.61806
1.76298
1.79290
1.85236
1.70271
1.74826
1.75208
1.67148
1.60346
1.71284
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1.66863
1.79285
1.89696
1.50130
1.41957
1.80510
1.61243
1.58456
1.83970
1.75683
1.35415
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1.81069
1.87217
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1.84760
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1.56453
1.91942
1.80241
1.43912
1.92385
1.78971
1.87292
1.64994
1.57530
1.82554
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1.89731
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1.61922
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1.69073
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1.80210
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1.70207
1.70145
1.70186
1.39728
1.66298
1.63025
1.61379
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1.52546
1.79852
1.89627
1.60097
1.61239
1.73534
1.67590
1.85583
1.88036
1.80913
1.64817
1.91531
1.64798
1.59646
1.59964
1.65835
1.94974
1.68185
1.50340
1.80656
1.64971
1.76632
1.45111
1.55399
1.88919
1.98957
1.87837
1.78448
1.84360
1.80163
1.70058
1.55235
1.81451
1.46448
1.82602
1.78292
1.88500
1.81519
1.77287
1.87708
1.73652
1.62993
1.40305
1.60491
1.77552
1.63082
1.63457
1.81685
1.83139
1.88469
1.89492
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1.68441
1.85061
1.34836
2.47906
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1.66836
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1.66624
1.75331
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1.88169
1.71301
1.59345
1.70748
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1.83517
1.91996
1.87338
1.64529
1.73488
1.80943
1.61482
1.67561
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1.73247
1.61584
1.67458
1.83507
1.89505
1.74185
1.96094
1.58104
1.66519
1.72147
1.56701
1.58921
1.78395
1.68070
1.88104
1.73088
1.65550
1.80966
1.84930
1.88125
1.70539
1.71505
1.84688
1.48539
1.75108
1.44287
1.74023
1.66120
1.65139
1.85006
1.82094
1.58708
1.40050
1.76668
1.78967
1.67201
1.69688
1.71255
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2.01920
1.63827
1.78559
1.79320
1.84301
1.83289
1.66237
1.64633
1.73832
2.02699
1.82917
1.80382
1.84984
1.65321
1.72478
1.83037
1.80689
1.79446
1.73303
1.87093
1.57937
1.73235
1.85241
1.67656
1.78883
1.68716
1.59389
1.79098
1.63895
1.97720
1.67024
1.62657
1.79587
1.78991
1.98842
1.59022
1.83136
1.70876
1.90252
1.64163
1.78506
1.87371
1.54824
1.59066
1.74589
1.76504
1.42950
1.70812
1.59359
1.95918
1.87356
1.89267
1.52330
1.52037
1.07916
1.89726
2.01407
1.53715
1.43450
1.43267
1.43752
1.88831
1.70216
1.52454
1.70144
1.66241
1.77170
1.65108
1.84890
1.82640
1.78920
1.74082
1.72303
1.78593
1.81423
1.75427
1.65999
1.72373
1.66259
1.56624
1.72621
1.39928
1.81733
1.58473
1.83531
1.89362
1.60090
1.69622
1.75129
1.83297
1.72871
2.04349
1.75032
1.85548
1.59098
1.70406
1.55837
1.92249
2.12810
1.70159
1.89364
1.74459
1.66458
1.67184
1.68488
1.72172
1.75085
1.47654
2.03610
1.86662
1.65189
1.56869
1.79322
1.65333
1.72300
1.69409
1.56543
1.60007
1.65197
1.74908
1.73999
1.56975
1.49504
1.50220
1.87608
1.74831
1.77129
1.82397
1.70008
1.68318
1.49866
1.76427
1.80140
1.61746
1.50220
1.67584
1.59294
1.89148
1.86985
1.57192
1.79526
2.00652
1.72118
1.76885
1.54528
1.60556
1.91278
1.41491
1.78478
1.73757
1.77113
1.71323
1.59910
2.00620
1.80006
1.68356
1.85458
1.43631
1.70143
1.86459
1.58968
1.74942
1.67259
1.54654
1.54637
1.58991
1.55621
1.02197
2.41730
1.24727
2.44334
2.50109
exit 0

MultiSource/Benchmarks/Rodinia/srad/sradKernel.c

#include "srad.h"
void srad_kernel(float dN[ROWS][COLS], float dS[ROWS][COLS],
float dW[ROWS][COLS], float dE[ROWS][COLS],
float I[ROWS][COLS], float J[ROWS][COLS],
float c[ROWS][COLS]) {
int size_R, iter;
float q0sqr, sum, sum2, tmp, meanROI, varROI;
float Jc, G2, L, num, den, qsqr;
float cN, cS, cW, cE;
float D;
int i, j;
size_R = (Y2 - Y1 + 1) * (X2 - X1 + 1);
for (iter = 0; iter < ITER; iter++) {
sum = 0;
sum2 = 0;
for (i = Y1; i <= Y2; i++) {
for (j = X1; j <= X2; j++) {
tmp = J[i][j];
sum += tmp;
sum2 += tmp * tmp;
}
}
meanROI = sum / size_R;
varROI = (sum2 / size_R) - meanROI * meanROI;
q0sqr = varROI / (meanROI * meanROI);
{
int i = 0;
int j = 0;
Jc = J[i][j];
// directional derivates
dN[i][j] = J[0][j] - Jc;
dS[i][j] = J[1][j] - Jc;
dW[i][j] = J[i][0] - Jc;
dE[i][j] = J[i][1] - Jc;
G2 = (dN[i][j] * dN[i][j] + dS[i][j] * dS[i][j] + dW[i][j] * dW[i][j] +
dE[i][j] * dE[i][j]) /
(Jc * Jc);
L = (dN[i][j] + dS[i][j] + dW[i][j] + dE[i][j]) / Jc;
num = (0.5 * G2) - ((1.0 / 16.0) * (L * L));
den = 1 + (.25 * L);
qsqr = num / (den * den);
// diffusion coefficent (equ 33)
den = (qsqr - q0sqr) / (q0sqr * (1 + q0sqr));
c[i][j] = 1.0 / (1.0 + den);
// saturate diffusion coefficent
if (c[i][j] < 0) {
c[i][j] = 0;
} else if (c[i][j] > 1) {
c[i][j] = 1;
}
j = COLS - 1;
Jc = J[i][j];
// directional derivates
dN[i][j] = J[0][j] - Jc;
dS[i][j] = J[1][j] - Jc;
dW[i][j] = J[i][COLS - 2] - Jc;
dE[i][j] = J[i][COLS - 1] - Jc;
G2 = (dN[i][j] * dN[i][j] + dS[i][j] * dS[i][j] + dW[i][j] * dW[i][j] +
dE[i][j] * dE[i][j]) /
(Jc * Jc);
L = (dN[i][j] + dS[i][j] + dW[i][j] + dE[i][j]) / Jc;
num = (0.5 * G2) - ((1.0 / 16.0) * (L * L));
den = 1 + (.25 * L);
qsqr = num / (den * den);
// diffusion coefficent (equ 33)
den = (qsqr - q0sqr) / (q0sqr * (1 + q0sqr));
c[i][j] = 1.0 / (1.0 + den);
// saturate diffusion coefficent
if (c[i][j] < 0) {
c[i][j] = 0;
} else if (c[i][j] > 1) {
c[i][j] = 1;
}
}
{
int i = ROWS - 1;
int j = 0;
Jc = J[i][j];
// directional derivates
dN[i][j] = J[ROWS - 2][j] - Jc;
dS[i][j] = J[ROWS - 1][j] - Jc;
dW[i][j] = J[i][0] - Jc;
dE[i][j] = J[i][1] - Jc;
G2 = (dN[i][j] * dN[i][j] + dS[i][j] * dS[i][j] + dW[i][j] * dW[i][j] +
dE[i][j] * dE[i][j]) /
(Jc * Jc);
L = (dN[i][j] + dS[i][j] + dW[i][j] + dE[i][j]) / Jc;
num = (0.5 * G2) - ((1.0 / 16.0) * (L * L));
den = 1 + (.25 * L);
qsqr = num / (den * den);
// diffusion coefficent (equ 33)
den = (qsqr - q0sqr) / (q0sqr * (1 + q0sqr));
c[i][j] = 1.0 / (1.0 + den);
// saturate diffusion coefficent
if (c[i][j] < 0) {
c[i][j] = 0;
} else if (c[i][j] > 1) {
c[i][j] = 1;
}
j = COLS - 1;
Jc = J[i][j];
// directional derivates
dN[i][j] = J[ROWS - 2][j] - Jc;
dS[i][j] = J[ROWS - 1][j] - Jc;
dW[i][j] = J[i][COLS - 2] - Jc;
dE[i][j] = J[i][COLS - 1] - Jc;
G2 = (dN[i][j] * dN[i][j] + dS[i][j] * dS[i][j] + dW[i][j] * dW[i][j] +
dE[i][j] * dE[i][j]) /
(Jc * Jc);
L = (dN[i][j] + dS[i][j] + dW[i][j] + dE[i][j]) / Jc;
num = (0.5 * G2) - ((1.0 / 16.0) * (L * L));
den = 1 + (.25 * L);
qsqr = num / (den * den);
// diffusion coefficent (equ 33)
den = (qsqr - q0sqr) / (q0sqr * (1 + q0sqr));
c[i][j] = 1.0 / (1.0 + den);
// saturate diffusion coefficent
if (c[i][j] < 0) {
c[i][j] = 0;
} else if (c[i][j] > 1) {
c[i][j] = 1;
}
}
for (int i = 1; i < ROWS - 1; i++) {
for (int j = 1; j < COLS - 1; j++) {
Jc = J[i][j];
// directional derivates
dN[i][j] = J[i - 1][j] - Jc;
dS[i][j] = J[i + 1][j] - Jc;
dW[i][j] = J[i][j - 1] - Jc;
dE[i][j] = J[i][j + 1] - Jc;
G2 = (dN[i][j] * dN[i][j] + dS[i][j] * dS[i][j] + dW[i][j] * dW[i][j] +
dE[i][j] * dE[i][j]) /
(Jc * Jc);
L = (dN[i][j] + dS[i][j] + dW[i][j] + dE[i][j]) / Jc;
num = (0.5 * G2) - ((1.0 / 16.0) * (L * L));
den = 1 + (.25 * L);
qsqr = num / (den * den);
// diffusion coefficent (equ 33)
den = (qsqr - q0sqr) / (q0sqr * (1 + q0sqr));
c[i][j] = 1.0 / (1.0 + den);
// saturate diffusion coefficent
if (c[i][j] < 0) {
c[i][j] = 0;
} else if (c[i][j] > 1) {
c[i][j] = 1;
}
}
}
{
int i = ROWS - 1;
for (int j = 0; j < COLS - 1; j++) {
// diffusion coefficent
cN = c[i][j];
cS = c[i][j];
cW = c[i][j];
cE = c[i][j + 1];
// divergence (equ 58)
D = cN * dN[i][j] + cS * dS[i][j] + cW * dW[i][j] + cE * dE[i][j];
// image update (equ 61)
J[i][j] = J[i][j] + 0.25 * LAMDBA * D;
}
i = ROWS - 1;
int j = COLS - 1;
// diffusion coefficent
cN = c[i][j];
cS = c[i][j];
cW = c[i][j];
cE = c[i][j];
// divergence (equ 58)
D = cN * dN[i][j] + cS * dS[i][j] + cW * dW[i][j] + cE * dE[i][j];
// image update (equ 61)
J[i][j] = J[i][j] + 0.25 * LAMDBA * D;
}
for (int i = 0; i < ROWS - 1; i++) {
for (int j = 0; j < COLS - 1; j++) {
// diffusion coefficent
cN = c[i][j];
cS = c[i + 1][j];
cW = c[i][j];
cE = c[i][j + 1];
// divergence (equ 58)
D = cN * dN[i][j] + cS * dS[i][j] + cW * dW[i][j] + cE * dE[i][j];
// image update (equ 61)
J[i][j] = J[i][j] + 0.25 * LAMDBA * D;
}
}
}
}
No newline at end of file
MultiSource/Benchmarks/Rodinia/srad/main.c