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Add tests

main
Gasper Spagnolo 2022-12-17 10:26:37 -05:00
parent 25cda17921
commit 0192eb78c1
8 changed files with 251 additions and 17 deletions
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9
dn8/Makefile
View File

@ -28,3 +28,12 @@ run_remote:
download_output:
rsync -a --progress nsc:$(DESTINATION)/mandelbrot.png .
run_local:
@test -n "$(width)" || (echo "width is not set"; exit 1)
@test -n "$(height)" || (echo "height is not set"; exit 1)
@echo "Compiling..."
gcc -g -Wall -lm mandelbrot.c -o mandelbrot
@echo "Running on CPU"
./mandelbrot $(width) $(height)

87
dn8/cuda.cu
View File

@ -60,13 +60,10 @@ __global__ void mandelbrotGPU(unsigned char *img, int width, int height, int cha
}
}
// take params
int main(int argc, char **argv)
{
// first argument is width
int width = atoi(argv[1]);
// second argument is height
int height = atoi(argv[2]);
int channels = 4;
@ -82,24 +79,18 @@ int main(int argc, char **argv)
dim3 blockSize(BLOCK_SIZE, BLOCK_SIZE, 1);
dim3 gridSize((width + blockSize.x - 1) / blockSize.x, (height + blockSize.y - 1) / blockSize.y, 1);
// Ustvarimo dogodke CUDA
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
// Zacnemo beleziti dogodke
cudaEventRecord(start);
// Zazenemo funkcijo na GPE
mandelbrotGPU<<<gridSize, blockSize>>>(img_d, width, height, channels);
// Copy image to host
checkCudaErrors(cudaMemcpy(img_h, img_d, data_size, cudaMemcpyDeviceToHost));
// Zakljucimo z belezenjem dogodkov
cudaEventRecord(stop);
// Pocakamo da se dogodki zgodijo, saj se izvajajo asinhrono
cudaEventSynchronize(stop);
float milliseconds = 0;
@ -117,3 +108,81 @@ int main(int argc, char **argv)
return 0;
}
/* RESULTS
resolution: 640,480, ngpus: 1, gpu_time: 1.664ms, cpu_time: 10.122344s -> speedup 6083.139423076924
resolution: 640,480, ngpus: 2, gpu_time: 1.668ms, cpu_time: 10.122344s -> speedup 6068.551558752998
resolution: 640,480, ngpus: 4, gpu_time: 1.676ms, cpu_time: 10.122344s -> speedup 6039.584725536993
resolution: 640,600, ngpus: 1, gpu_time: 2.036ms, cpu_time: 10.124772s -> speedup 4972.874263261297
resolution: 640,600, ngpus: 2, gpu_time: 2.051ms, cpu_time: 10.124772s -> speedup 4936.505119453925
resolution: 640,600, ngpus: 4, gpu_time: 2.009ms, cpu_time: 10.124772s -> speedup 5039.707317073171
resolution: 640,900, ngpus: 1, gpu_time: 2.132ms, cpu_time: 10.504951s -> speedup 4927.275328330206
resolution: 640,900, ngpus: 2, gpu_time: 2.908ms, cpu_time: 10.504951s -> speedup 3612.431568088033
resolution: 640,900, ngpus: 4, gpu_time: 2.882ms, cpu_time: 10.504951s -> speedup 3645.021165857044
resolution: 640,1080, ngpus: 1, gpu_time: 2.639ms, cpu_time: 11.015781s -> speedup 4174.225464190982
resolution: 640,1080, ngpus: 2, gpu_time: 3.366ms, cpu_time: 11.015781s -> speedup 3272.662210338681
resolution: 640,1080, ngpus: 4, gpu_time: 3.372ms, cpu_time: 11.015781s -> speedup 3266.8389679715306
resolution: 640,2160, ngpus: 1, gpu_time: 4.996ms, cpu_time: 12.115385s -> speedup 2425.0170136108886
resolution: 640,2160, ngpus: 2, gpu_time: 4.905ms, cpu_time: 12.115385s -> speedup 2470.007135575943
resolution: 640,2160, ngpus: 4, gpu_time: 5.701ms, cpu_time: 12.115385s -> speedup 2125.1333099456238
resolution: 800,480, ngpus: 1, gpu_time: 2.005ms, cpu_time: 11.583709s -> speedup 5777.410972568579
resolution: 800,480, ngpus: 2, gpu_time: 2.383ms, cpu_time: 11.583709s -> speedup 4860.97733948804
resolution: 800,480, ngpus: 4, gpu_time: 1.978ms, cpu_time: 11.583709s -> speedup 5856.27350859454
resolution: 800,600, ngpus: 1, gpu_time: 2.450ms, cpu_time: 11.500485s -> speedup 4694.07551020408
resolution: 800,600, ngpus: 2, gpu_time: 2.399ms, cpu_time: 11.500485s -> speedup 4793.866194247603
resolution: 800,600, ngpus: 4, gpu_time: 2.422ms, cpu_time: 11.500485s -> speedup 4748.342279108175
resolution: 800,900, ngpus: 1, gpu_time: 3.512ms, cpu_time: 10.727533s -> speedup 3054.536731207289
resolution: 800,900, ngpus: 2, gpu_time: 3.510ms, cpu_time: 10.727533s -> speedup 3056.277207977208
resolution: 800,900, ngpus: 4, gpu_time: 3.500ms, cpu_time: 10.727533s -> speedup 3065.009428571428
resolution: 800,1080, ngpus: 1, gpu_time: 3.453ms, cpu_time: 10.642499s -> speedup 3082.1022299449755
resolution: 800,1080, ngpus: 2, gpu_time: 3.357ms, cpu_time: 10.642499s -> speedup 3170.2409889782543
resolution: 800,1080, ngpus: 4, gpu_time: 4.108ms, cpu_time: 10.642499s -> speedup 2590.676484907498
resolution: 800,2160, ngpus: 1, gpu_time: 6.405ms, cpu_time: 10.547187s -> speedup 1646.7114754098359
resolution: 800,2160, ngpus: 2, gpu_time: 6.410ms, cpu_time: 10.547187s -> speedup 1645.426989079563
resolution: 800,2160, ngpus: 4, gpu_time: 6.425ms, cpu_time: 10.547187s -> speedup 1641.5855252918286
resolution: 1600,480, ngpus: 1, gpu_time: 2.932ms, cpu_time: 11.243271s -> speedup 3834.676330150068
resolution: 1600,480, ngpus: 2, gpu_time: 2.894ms, cpu_time: 11.243271s -> speedup 3885.0279889426397
resolution: 1600,480, ngpus: 4, gpu_time: 3.655ms, cpu_time: 11.243271s -> speedup 3076.134336525308
resolution: 1600,600, ngpus: 1, gpu_time: 3.816ms, cpu_time: 11.046463s -> speedup 2894.7754192872117
resolution: 1600,600, ngpus: 2, gpu_time: 4.511ms, cpu_time: 11.046463s -> speedup 2448.7836399911325
resolution: 1600,600, ngpus: 4, gpu_time: 3.714ms, cpu_time: 11.046463s -> speedup 2974.276521270867
resolution: 1600,900, ngpus: 1, gpu_time: 5.884ms, cpu_time: 10.917261s -> speedup 1855.4148538409245
resolution: 1600,900, ngpus: 2, gpu_time: 5.070ms, cpu_time: 10.917261s -> speedup 2153.3059171597633
resolution: 1600,900, ngpus: 4, gpu_time: 5.041ms, cpu_time: 10.917261s -> speedup 2165.6935131918267
resolution: 1600,1080, ngpus: 1, gpu_time: 5.619ms, cpu_time: 11.436832s -> speedup 2035.3856558106427
resolution: 1600,1080, ngpus: 2, gpu_time: 6.326ms, cpu_time: 11.436832s -> speedup 1807.9089472020235
resolution: 1600,1080, ngpus: 4, gpu_time: 6.321ms, cpu_time: 11.436832s -> speedup 1809.33902863471
resolution: 1600,2160, ngpus: 1, gpu_time: 10.906ms, cpu_time: 10.779845s -> speedup 988.43251421236
resolution: 1600,2160, ngpus: 2, gpu_time: 10.772ms, cpu_time: 10.779845s -> speedup 1000.7282770144819
resolution: 1600,2160, ngpus: 4, gpu_time: 10.741ms, cpu_time: 10.779845s -> speedup 1003.6165161530585
resolution: 1920,480, ngpus: 1, gpu_time: 4.361ms, cpu_time: 11.150000s -> speedup 2556.75303829397
resolution: 1920,480, ngpus: 2, gpu_time: 3.556ms, cpu_time: 11.150000s -> speedup 3135.5455568053994
resolution: 1920,480, ngpus: 4, gpu_time: 3.559ms, cpu_time: 11.150000s -> speedup 3132.9025007024447
resolution: 1920,600, ngpus: 1, gpu_time: 4.599ms, cpu_time: 11.943074s -> speedup 2596.884974994564
resolution: 1920,600, ngpus: 2, gpu_time: 4.667ms, cpu_time: 11.943074s -> speedup 2559.0473537604453
resolution: 1920,600, ngpus: 4, gpu_time: 4.607ms, cpu_time: 11.943074s -> speedup 2592.375515519861
resolution: 1920,900, ngpus: 1, gpu_time: 5.625ms, cpu_time: 10.943963s -> speedup 1945.5934222222222
resolution: 1920,900, ngpus: 2, gpu_time: 5.696ms, cpu_time: 10.943963s -> speedup 1921.341818820225
resolution: 1920,900, ngpus: 4, gpu_time: 6.249ms, cpu_time: 10.943963s -> speedup 1751.314290286446
resolution: 1920,1080, ngpus: 1, gpu_time: 7.881ms, cpu_time: 11.079364s -> speedup 1405.8322547900011
resolution: 1920,1080, ngpus: 2, gpu_time: 6.993ms, cpu_time: 11.079364s -> speedup 1584.3506363506363
resolution: 1920,1080, ngpus: 4, gpu_time: 7.749ms, cpu_time: 11.079364s -> speedup 1429.7798425603305
resolution: 1920,2160, ngpus: 1, gpu_time: 13.916ms, cpu_time: 10.651142s -> speedup 765.3881862604197
resolution: 1920,2160, ngpus: 2, gpu_time: 12.911ms, cpu_time: 10.651142s -> speedup 824.9664627062195
resolution: 1920,2160, ngpus: 4, gpu_time: 12.922ms, cpu_time: 10.651142s -> speedup 824.2642005881441
resolution: 3840,480, ngpus: 1, gpu_time: 6.109ms, cpu_time: 10.953693s -> speedup 1793.0419053854969
resolution: 3840,480, ngpus: 2, gpu_time: 6.029ms, cpu_time: 10.953693s -> speedup 1816.8341350140986
resolution: 3840,480, ngpus: 4, gpu_time: 6.752ms, cpu_time: 10.953693s -> speedup 1622.28865521327
resolution: 3840,600, ngpus: 1, gpu_time: 8.130ms, cpu_time: 10.953526s -> speedup 1347.2971709717096
resolution: 3840,600, ngpus: 2, gpu_time: 7.990ms, cpu_time: 10.953526s -> speedup 1370.9043804755945
resolution: 3840,600, ngpus: 4, gpu_time: 8.000ms, cpu_time: 10.953526s -> speedup 1369.19075
resolution: 3840,900, ngpus: 1, gpu_time: 10.816ms, cpu_time: 11.594220s -> speedup 1071.9508136094673
resolution: 3840,900, ngpus: 2, gpu_time: 11.445ms, cpu_time: 11.594220s -> speedup 1013.038007863696
resolution: 3840,900, ngpus: 4, gpu_time: 10.671ms, cpu_time: 11.594220s -> speedup 1086.5167275794208
resolution: 3840,1080, ngpus: 1, gpu_time: 13.010ms, cpu_time: 11.026291s -> speedup 847.5242890084552
resolution: 3840,1080, ngpus: 2, gpu_time: 13.600ms, cpu_time: 11.026291s -> speedup 810.7566911764707
resolution: 3840,1080, ngpus: 4, gpu_time: 13.223ms, cpu_time: 11.026291s -> speedup 833.8721167662407
resolution: 3840,2160, ngpus: 1, gpu_time: 24.669ms, cpu_time: 11.050334s -> speedup 447.9441404191495
resolution: 3840,2160, ngpus: 2, gpu_time: 24.373ms, cpu_time: 11.050334s -> speedup 453.38423665531525
resolution: 3840,2160, ngpus: 4, gpu_time: 24.410ms, cpu_time: 11.050334s -> speedup 452.69700942236784
*/

35
dn8/get_speedups.py Normal file
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@ -0,0 +1,35 @@
def main():
# Read csv file
gpu_results = []
with open('./results_gpu.csv', 'r') as f:
lines = f.readlines()
# Split lines into list of lists and strip whitespace
lines = [line.strip().split(',') for line in lines]
# Remove header
lines = lines[1:]
gpu_results = lines
cpu_results = []
with open('./results_cpu.csv', 'r') as f:
lines = f.readlines()
# Split lines into list of lists and strip whitespace
lines = [line.strip().split(',') for line in lines]
# Remove header
lines = lines[1:]
cpu_results = lines
for i in range(len(gpu_results)):
for j in range(len(cpu_results)):
if gpu_results[i][0] == cpu_results[j][0] and gpu_results[i][1] == cpu_results[j][1]:
gpu_time = float(gpu_results[i][3]) # in milliseconds
cpu_time = float(cpu_results[j][2])# in seconds
speedup = cpu_time / (gpu_time / 1000)
print(f'resolution: {gpu_results[i][0]},{gpu_results[i][1]}, ngpus: {gpu_results[i][2]}, gpu_time: {gpu_results[i][3]}ms, cpu_time: {cpu_results[j][2]}s -> speedup {speedup}')
if __name__ == '__main__':
main()

6
dn8/mandelbrot.c
View File

@ -4,6 +4,7 @@
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "stb_image_write.h"
#include <sys/time.h>
void mandelbrotCPU(unsigned char *image, int height, int width) {
float x0, y0, x, y, xtemp;
@ -50,11 +51,16 @@ int main(void)
int height = 3840;
int width = 2160;
int cpp=4; //stevilo barvnih kanalov na piksel
struct timeval tv1, tv2;
//rezerviramo prostor za sliko (RGBA)
unsigned char *image = (unsigned char *)malloc(height * width * sizeof(unsigned char) * cpp);
gettimeofday(&tv1, NULL);
mandelbrotCPU(image, height, width);
gettimeofday(&tv2, NULL);
printf ("CPU: %f seconds\n", (double) (tv2.tv_usec - tv1.tv_usec) / 1000000 +
(double) (tv2.tv_sec - tv1.tv_sec));
//shranimo sliko
stbi_write_png("mandelbrot.png", width, height, cpp, image, width * cpp);

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dn8/mandelbrot.png Normal file
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26
dn8/results_cpu.csv Normal file
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@ -0,0 +1,26 @@
width,height,seconds
640,480,10.122344
640,600,10.124772
640,900,10.504951
640,1080,11.015781
640,2160,12.115385
800,480,11.583709
800,600,11.500485
800,900,10.727533
800,1080,10.642499
800,2160,10.547187
1600,480,11.243271
1600,600,11.046463
1600,900,10.917261
1600,1080,11.436832
1600,2160,10.779845
1920,480,11.150000
1920,600,11.943074
1920,900,10.943963
1920,1080,11.079364
1920,2160,10.651142
3840,480,10.953693
3840,600,10.953526
3840,900,11.594220
3840,1080,11.026291
3840,2160,11.050334
1 width height seconds
2 640 480 10.122344
3 640 600 10.124772
4 640 900 10.504951
5 640 1080 11.015781
6 640 2160 12.115385
7 800 480 11.583709
8 800 600 11.500485
9 800 900 10.727533
10 800 1080 10.642499
11 800 2160 10.547187
12 1600 480 11.243271
13 1600 600 11.046463
14 1600 900 10.917261
15 1600 1080 11.436832
16 1600 2160 10.779845
17 1920 480 11.150000
18 1920 600 11.943074
19 1920 900 10.943963
20 1920 1080 11.079364
21 1920 2160 10.651142
22 3840 480 10.953693
23 3840 600 10.953526
24 3840 900 11.594220
25 3840 1080 11.026291
26 3840 2160 11.050334

76
dn8/results_gpu.csv Normal file
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@ -0,0 +1,76 @@
width,height,ngpus,milliseconds
640,480,1,1.664
640,480,2,1.668
640,480,4,1.676
640,600,1,2.036
640,600,2,2.051
640,600,4,2.009
640,900,1,2.132
640,900,2,2.908
640,900,4,2.882
640,1080,1,2.639
640,1080,2,3.366
640,1080,4,3.372
640,2160,1,4.996
640,2160,2,4.905
640,2160,4,5.701
800,480,1,2.005
800,480,2,2.383
800,480,4,1.978
800,600,1,2.450
800,600,2,2.399
800,600,4,2.422
800,900,1,3.512
800,900,2,3.510
800,900,4,3.500
800,1080,1,3.453
800,1080,2,3.357
800,1080,4,4.108
800,2160,1,6.405
800,2160,2,6.410
800,2160,4,6.425
1600,480,1,2.932
1600,480,2,2.894
1600,480,4,3.655
1600,600,1,3.816
1600,600,2,4.511
1600,600,4,3.714
1600,900,1,5.884
1600,900,2,5.070
1600,900,4,5.041
1600,1080,1,5.619
1600,1080,2,6.326
1600,1080,4,6.321
1600,2160,1,10.906
1600,2160,2,10.772
1600,2160,4,10.741
1920,480,1,4.361
1920,480,2,3.556
1920,480,4,3.559
1920,600,1,4.599
1920,600,2,4.667
1920,600,4,4.607
1920,900,1,5.625
1920,900,2,5.696
1920,900,4,6.249
1920,1080,1,7.881
1920,1080,2,6.993
1920,1080,4,7.749
1920,2160,1,13.916
1920,2160,2,12.911
1920,2160,4,12.922
3840,480,1,6.109
3840,480,2,6.029
3840,480,4,6.752
3840,600,1,8.130
3840,600,2,7.990
3840,600,4,8.000
3840,900,1,10.816
3840,900,2,11.445
3840,900,4,10.671
3840,1080,1,13.010
3840,1080,2,13.600
3840,1080,4,13.223
3840,2160,1,24.669
3840,2160,2,24.373
3840,2160,4,24.410
1 width height ngpus milliseconds
2 640 480 1 1.664
3 640 480 2 1.668
4 640 480 4 1.676
5 640 600 1 2.036
6 640 600 2 2.051
7 640 600 4 2.009
8 640 900 1 2.132
9 640 900 2 2.908
10 640 900 4 2.882
11 640 1080 1 2.639
12 640 1080 2 3.366
13 640 1080 4 3.372
14 640 2160 1 4.996
15 640 2160 2 4.905
16 640 2160 4 5.701
17 800 480 1 2.005
18 800 480 2 2.383
19 800 480 4 1.978
20 800 600 1 2.450
21 800 600 2 2.399
22 800 600 4 2.422
23 800 900 1 3.512
24 800 900 2 3.510
25 800 900 4 3.500
26 800 1080 1 3.453
27 800 1080 2 3.357
28 800 1080 4 4.108
29 800 2160 1 6.405
30 800 2160 2 6.410
31 800 2160 4 6.425
32 1600 480 1 2.932
33 1600 480 2 2.894
34 1600 480 4 3.655
35 1600 600 1 3.816
36 1600 600 2 4.511
37 1600 600 4 3.714
38 1600 900 1 5.884
39 1600 900 2 5.070
40 1600 900 4 5.041
41 1600 1080 1 5.619
42 1600 1080 2 6.326
43 1600 1080 4 6.321
44 1600 2160 1 10.906
45 1600 2160 2 10.772
46 1600 2160 4 10.741
47 1920 480 1 4.361
48 1920 480 2 3.556
49 1920 480 4 3.559
50 1920 600 1 4.599
51 1920 600 2 4.667
52 1920 600 4 4.607
53 1920 900 1 5.625
54 1920 900 2 5.696
55 1920 900 4 6.249
56 1920 1080 1 7.881
57 1920 1080 2 6.993
58 1920 1080 4 7.749
59 1920 2160 1 13.916
60 1920 2160 2 12.911
61 1920 2160 4 12.922
62 3840 480 1 6.109
63 3840 480 2 6.029
64 3840 480 4 6.752
65 3840 600 1 8.130
66 3840 600 2 7.990
67 3840 600 4 8.000
68 3840 900 1 10.816
69 3840 900 2 11.445
70 3840 900 4 10.671
71 3840 1080 1 13.010
72 3840 1080 2 13.600
73 3840 1080 4 13.223
74 3840 2160 1 24.669
75 3840 2160 2 24.373
76 3840 2160 4 24.410

27
dn8/test.sh
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@ -4,18 +4,31 @@
WIDTHS=( 640 800 1600 1920 3840 )
HEIGHTS=( 480 600 900 1080 2160 )
GPUS=(1 2 4)
# Boolean variable
TEST_GPU=true
# Generate CSV
if [ "$TEST_GPU" = true ]; then
echo "width,height,ngpus,milliseconds" > results_gpu.csv
else
echo "width,height,seconds" > results_cpu.csv
fi
# loop through WIDTHS
for WIDTH in "${WIDTHS[@]}"
do
# loop through HEIGHTS
for HEIGHT in "${HEIGHTS[@]}"
do
# loop through GPUS
for GPU in "${GPUS[@]}"
do
ret=$(make run_remote ntasks=1 ngpus=$GPU width=$WIDTH height=$HEIGHT | grep time | awk '{print $7}')
echo "Finished $WIDTH x $HEIGHT with $GPU GPUs --> time: $ret milliseconds"
done
if [ "$TEST_GPU" = true ]; then
for GPU in "${GPUS[@]}"
do
ret=$(make run_remote ntasks=1 ngpus=$GPU width=$WIDTH height=$HEIGHT | grep time | awk '{print $7}')
echo "$WIDTH,$HEIGHT,$GPU,$ret" >> results_gpu.csv
done
else
# run on CPU
ret=$( make run_local width=$WIDTH height=$HEIGHT | grep second | awk '{print $2}')
echo "$WIDTH,$HEIGHT,$ret" >> results_cpu.csv
fi
done
done