[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-07-26 00:50:19 +00:00
parent 84440be392
commit bec0049ff5
165 changed files with 294 additions and 294 deletions

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@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
7 1152.0 45.242181 ... 47.396572 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 66.485074
10 1536.0 79.526831 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 68.776119 ... 71.257735 70.892307
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.494120 86.367588
16 2304.0 68.446623 ... 78.064941 77.558029
17 2432.0 71.487187 ... 86.711310 75.320281
18 2560.0 77.833728 ... 82.747477 81.613947
19 2688.0 83.369354 ... 90.966561 89.676257
20 2816.0 83.552120 ... 84.360174 84.197315
21 2944.0 81.298583 ... 83.060049 83.198715
22 3072.0 81.884457 ... 87.787755 85.404375
23 3200.0 85.106381 ... 96.896287 95.522391
24 3328.0 83.808259 ... 85.806075 85.602017
25 3456.0 79.351933 ... 87.064328 89.183149
26 3584.0 87.127323 ... 91.192076 96.787292
27 3712.0 85.675250 ... 93.274830 87.937800
28 3840.0 81.798814 ... 86.197974 90.279183
29 3968.0 86.051653 ... 92.864488 86.205539
30 4096.0 94.386588 ... 88.243079 84.573239
12 1792.0 72.983276 ... 72.983276 59.154861
13 1920.0 68.776119 ... 71.257735 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.125224 ... 86.979769 85.915795
18 2560.0 77.833728 ... 82.747477 81.715711
19 2688.0 84.295681 ... 90.966561 89.464755
20 2816.0 84.035084 ... 85.017948 83.233226
21 2944.0 82.237674 ... 83.198715 82.509987
22 3072.0 82.420822 ... 89.735509 87.651868
23 3200.0 83.333330 ... 91.168092 95.952022
24 3328.0 83.468170 ... 84.795401 84.895397
25 3456.0 81.849303 ... 90.586029 91.097818
26 3584.0 87.042978 ... 95.451583 97.787265
27 3712.0 85.785610 ... 89.194055 85.163978
28 3840.0 84.940091 ... 93.801526 87.148936
29 3968.0 92.864488 ... 87.159957 91.712842
30 4096.0 86.536250 ... 85.652663 90.626421
[31 rows x 5 columns]
@@ -499,7 +499,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 7 minutes 8.783 seconds)
**Total running time of the script:** ( 7 minutes 14.455 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: