[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-03 00:52:19 +00:00
parent de0c86c743
commit d84d42ef8d
167 changed files with 302 additions and 302 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 ... 3.276800 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
0 256.0 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
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 47.396572
7 1152.0 45.242181 ... 47.775747 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
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 ... 77.558029 77.307030
17 2432.0 71.305746 ... 86.711310 85.653855
18 2560.0 77.833728 ... 82.331658 81.715711
19 2688.0 83.369354 ... 90.532356 89.044730
20 2816.0 80.026067 ... 84.197315 83.074685
21 2944.0 79.993635 ... 83.060049 81.564701
22 3072.0 82.301023 ... 88.473602 84.638425
23 3200.0 84.321474 ... 96.530922 95.380032
24 3328.0 83.130825 ... 85.703924 81.162679
25 3456.0 82.688790 ... 86.318594 89.281913
26 3584.0 86.958797 ... 98.375705 98.591437
27 3712.0 84.230479 ... 88.326564 87.976522
28 3840.0 80.960466 ... 84.842346 89.839159
29 3968.0 87.004591 ... 92.372393 83.922926
30 4096.0 93.206754 ... 82.393504 87.154371
15 2176.0 83.155572 ... 87.876193 86.367588
16 2304.0 68.446623 ... 77.810656 77.307030
17 2432.0 71.305746 ... 86.711310 83.864074
18 2560.0 78.019048 ... 82.747477 81.920002
19 2688.0 83.737433 ... 90.316801 89.044730
20 2816.0 79.587973 ... 83.312714 83.233226
21 2944.0 81.967162 ... 82.784108 82.784108
22 3072.0 78.534123 ... 89.170242 85.792579
23 3200.0 79.701121 ... 96.822991 95.096582
24 3328.0 82.843841 ... 85.096096 81.530349
25 3456.0 80.945348 ... 89.579522 81.352463
26 3584.0 87.466332 ... 97.416461 98.699661
27 3712.0 82.559787 ... 88.955779 88.015279
28 3840.0 83.497171 ... 89.043476 89.912191
29 3968.0 87.976885 ... 87.315873 90.121079
30 4096.0 87.552332 ... 85.460934 91.304576
[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 41.839 seconds)
**Total running time of the script:** ( 7 minutes 0.527 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: