[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-07-31 00:50:01 +00:00
parent 0c21947b50
commit 57b5951fdb
167 changed files with 242 additions and 242 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
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 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 ... 47.396572 47.396572
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 67.305878
9 1408.0 64.138541 ... 69.009825 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 ... 71.626943 70.892307
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.305746 ... 85.915795 75.522751
18 2560.0 78.019048 ... 82.956960 81.512437
19 2688.0 83.737433 ... 90.102270 88.836198
20 2816.0 80.026067 ... 84.197315 83.233226
21 2944.0 81.967162 ... 83.198715 83.337844
22 3072.0 81.943708 ... 87.924073 86.845249
23 3200.0 79.900126 ... 96.385543 95.522391
24 3328.0 83.613586 ... 85.196803 84.298943
25 3456.0 81.849303 ... 91.615417 85.676480
26 3584.0 84.825838 ... 91.470385 95.249353
27 3712.0 84.088676 ... 88.561477 84.910620
28 3840.0 85.070769 ... 91.473945 85.796739
29 3968.0 88.938731 ... 92.337443 87.159957
30 4096.0 93.596744 ... 92.916396 86.396995
15 2176.0 83.155572 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 75.320281
18 2560.0 77.926278 ... 82.539044 81.310171
19 2688.0 83.369354 ... 90.532356 89.676257
20 2816.0 79.587973 ... 83.392363 83.153880
21 2944.0 81.967162 ... 83.337844 82.102191
22 3072.0 81.355034 ... 87.112467 88.750943
23 3200.0 84.880639 ... 96.676741 95.238096
24 3328.0 82.748617 ... 85.297742 84.101981
25 3456.0 82.688790 ... 91.615417 89.679166
26 3584.0 87.466332 ... 88.066008 95.960933
27 3712.0 81.548851 ... 87.629253 87.552452
28 3840.0 81.079177 ... 85.996889 90.058629
29 3968.0 86.849777 ... 91.609561 85.093402
30 4096.0 92.948562 ... 86.816123 86.592080
[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 11.839 seconds)
**Total running time of the script:** ( 7 minutes 9.656 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: