[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-19 00:50:31 +00:00
parent db7b163cb5
commit a7462d444b
163 changed files with 270 additions and 270 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 ... 7.899428 7.899428
2 512.0 14.563555 ... 16.384000 15.420235
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 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 44.566925 ... 48.161033 47.396572
7 1152.0 44.566925 ... 48.161033 48.161033
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.943582 59.467852
13 1920.0 69.467336 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
11 1664.0 63.372618 ... 63.372618 62.929456
12 1792.0 72.983276 ... 73.460287 59.467852
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 86.367588
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.444504 84.621881
18 2560.0 78.019048 ... 82.331658 81.108913
19 2688.0 83.369354 ... 90.966561 89.464755
20 2816.0 79.587973 ... 84.197315 83.074685
21 2944.0 81.967162 ... 83.060049 82.784108
22 3072.0 82.420822 ... 87.924073 85.019675
23 3200.0 84.768213 ... 96.458178 95.238096
24 3328.0 83.905938 ... 85.096096 84.298943
25 3456.0 82.604067 ... 91.304157 87.442050
26 3584.0 87.211821 ... 98.375705 91.656871
27 3712.0 84.874549 ... 89.035062 86.044224
28 3840.0 84.744825 ... 93.484358 84.484863
29 3968.0 92.582651 ... 84.976733 91.472214
30 4096.0 86.256445 ... 88.475759 90.230403
17 2432.0 71.305746 ... 85.915795 83.864074
18 2560.0 78.019048 ... 82.747477 81.715711
19 2688.0 83.922689 ... 91.185232 89.254248
20 2816.0 80.026067 ... 83.712490 83.074685
21 2944.0 82.102191 ... 82.921853 82.784108
22 3072.0 81.884457 ... 89.310890 88.612060
23 3200.0 83.879425 ... 96.096095 93.704243
24 3328.0 84.101981 ... 85.602017 85.806075
25 3456.0 81.435930 ... 90.687926 90.994998
26 3584.0 87.042978 ... 93.273228 96.683219
27 3712.0 85.822459 ... 88.876645 87.094458
28 3840.0 81.798814 ... 88.050954 88.971840
29 3968.0 92.758598 ... 85.871877 91.301109
30 4096.0 86.536250 ... 87.041329 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 18.355 seconds)
**Total running time of the script:** ( 6 minutes 32.425 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: