[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-10 00:48:34 +00:00
parent 24ae9b82dd
commit 4b51054036
165 changed files with 288 additions and 288 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 2.978909 ... 3.276800 3.276800
0 256.0 2.730667 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
2 512.0 14.563555 ... 16.384000 15.420235
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
5 896.0 37.971025 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 53.092457
7 1152.0 45.242181 ... 48.161033 48.161033
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
9 1408.0 64.138541 ... 69.009825 67.305878
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
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
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.305746 ... 85.915795 83.366361
18 2560.0 77.833728 ... 81.715711 81.310171
19 2688.0 83.369354 ... 90.532356 90.102270
20 2816.0 81.445766 ... 84.035084 83.873477
21 2944.0 81.564701 ... 83.477440 82.921853
22 3072.0 82.420822 ... 89.735509 88.750943
23 3200.0 84.544253 ... 97.116842 95.096582
24 3328.0 83.905938 ... 85.806075 83.808259
25 3456.0 82.773682 ... 90.180725 90.687926
26 3584.0 87.042978 ... 99.244365 98.268190
27 3712.0 81.482335 ... 88.718781 88.248537
28 3840.0 82.531346 ... 89.043476 89.912191
29 3968.0 86.911637 ... 92.652949 84.094627
30 4096.0 93.368854 ... 83.313299 89.928129
17 2432.0 71.305746 ... 85.393507 75.522751
18 2560.0 77.833728 ... 82.125311 80.908642
19 2688.0 83.922689 ... 90.966561 89.464755
20 2816.0 81.067298 ... 84.360174 83.873477
21 2944.0 81.967162 ... 83.337844 81.832567
22 3072.0 82.420822 ... 89.310890 88.473602
23 3200.0 83.879425 ... 95.238096 87.671229
24 3328.0 82.369902 ... 85.602017 81.994643
25 3456.0 80.864158 ... 84.332184 90.281712
26 3584.0 87.127323 ... 97.947050 97.205829
27 3712.0 84.159518 ... 89.035062 87.552452
28 3840.0 81.138664 ... 86.332554 90.279183
29 3968.0 87.913500 ... 91.954739 86.358055
30 4096.0 93.271527 ... 84.254693 82.418802
[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 37.798 seconds)
**Total running time of the script:** ( 7 minutes 19.813 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: