[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-25 00:51:52 +00:00
parent aaf54f10e5
commit a1fd5d2238
167 changed files with 270 additions and 270 deletions

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@@ -460,36 +460,36 @@ 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 2.978909 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 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 48.161033
7 1152.0 45.242181 ... 47.396572 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
9 1408.0 64.138541 ... 68.147202 67.305878
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
11 1664.0 62.492442 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.626943 71.257735
13 1920.0 68.776119 ... 71.257735 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 85.653855
18 2560.0 77.833728 ... 82.539044 81.310171
19 2688.0 83.737433 ... 90.748936 89.044730
20 2816.0 83.392363 ... 84.035084 83.873477
21 2944.0 79.737653 ... 83.337844 82.441740
22 3072.0 82.420822 ... 89.310890 87.787755
23 3200.0 84.210524 ... 96.530922 94.814812
24 3328.0 82.369902 ... 84.795401 84.596116
25 3456.0 82.266905 ... 92.033756 90.790053
26 3584.0 83.954614 ... 93.273228 94.647779
27 3712.0 85.309435 ... 89.035062 82.287760
28 3840.0 84.550462 ... 92.817458 85.730230
29 3968.0 91.781825 ... 85.153710 87.191097
30 4096.0 93.336389 ... 92.691803 87.352901
17 2432.0 71.305746 ... 85.653855 75.320281
18 2560.0 77.833728 ... 82.747477 81.108913
19 2688.0 83.186525 ... 90.102270 90.316801
20 2816.0 80.173175 ... 84.523664 83.712490
21 2944.0 81.832567 ... 83.198715 81.832567
22 3072.0 82.420822 ... 89.877939 88.890270
23 3200.0 84.544253 ... 96.822991 94.955488
24 3328.0 83.130825 ... 85.196803 84.695641
25 3456.0 82.015834 ... 91.719645 91.563392
26 3584.0 87.381330 ... 94.697621 95.451583
27 3712.0 83.386762 ... 87.246590 87.475786
28 3840.0 80.197243 ... 89.548180 91.891984
29 3968.0 88.039362 ... 90.522206 84.328915
30 4096.0 92.245860 ... 84.149044 89.837839
[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:** ( 6 minutes 40.885 seconds)
**Total running time of the script:** ( 7 minutes 8.214 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: