[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-15 00:49:17 +00:00
parent 36804ec20e
commit 943e27aa53
165 changed files with 312 additions and 312 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 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
0 256.0 2.730667 ... 2.978909 3.276800
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
5 896.0 37.971025 ... 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 ... 48.161033 47.396572
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 ... 63.822072 62.929456
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.257735 71.257735
14 2048.0 73.908442 ... 78.033565 77.314362
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.251065 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.179335 75.320281
18 2560.0 78.019048 ... 82.331658 81.310171
19 2688.0 83.369354 ... 90.316801 89.464755
20 2816.0 80.026067 ... 84.687779 83.712490
21 2944.0 81.967162 ... 82.784108 82.102191
22 3072.0 82.661468 ... 89.735509 88.612060
23 3200.0 84.768213 ... 88.888888 95.952022
24 3328.0 82.748617 ... 85.602017 83.954863
25 3456.0 82.773682 ... 88.304015 91.200871
26 3584.0 87.296493 ... 98.916823 97.100854
27 3712.0 83.247783 ... 88.404730 87.552452
28 3840.0 83.465663 ... 92.661918 84.582788
29 3968.0 89.789505 ... 88.744681 87.159957
30 4096.0 93.760204 ... 89.837839 89.359338
10 1536.0 80.430545 ... 80.430545 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
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.251065 ... 77.810656 77.307030
17 2432.0 71.305746 ... 84.367759 75.320281
18 2560.0 78.019048 ... 82.539044 81.310171
19 2688.0 83.552988 ... 90.316801 89.254248
20 2816.0 79.154642 ... 83.873477 83.712490
21 2944.0 82.784108 ... 83.617504 83.337844
22 3072.0 81.707223 ... 86.978653 88.750943
23 3200.0 82.262212 ... 92.086332 87.611228
24 3328.0 81.622783 ... 83.808259 82.181847
25 3456.0 81.849303 ... 88.207407 90.281712
26 3584.0 86.874778 ... 98.483450 98.483450
27 3712.0 81.615477 ... 89.114488 87.629253
28 3840.0 81.919998 ... 88.121115 90.389865
29 3968.0 86.973584 ... 91.954739 86.053553
30 4096.0 93.401342 ... 83.106955 88.709668
[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 37.769 seconds)
**Total running time of the script:** ( 6 minutes 37.352 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: