[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-07-16 00:49:55 +00:00
parent ca34df1084
commit dadcd858ad
165 changed files with 298 additions and 298 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
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
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
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 31.597714 ... 34.028308 34.028308
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 47.396572 47.396572
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
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.467336 ... 71.257735 70.892307
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.494120 85.998493
16 2304.0 68.056616 ... 78.064941 77.307030
17 2432.0 71.125224 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.747477 81.512437
19 2688.0 83.737433 ... 90.966561 89.888756
20 2816.0 84.523664 ... 85.017948 84.197315
21 2944.0 82.034625 ... 83.899046 82.373605
22 3072.0 81.943708 ... 89.735509 88.890270
23 3200.0 84.656085 ... 96.969694 94.674553
24 3328.0 83.226931 ... 85.703924 84.995628
25 3456.0 82.519518 ... 91.928814 88.595129
26 3584.0 83.177979 ... 88.412386 94.947616
27 3712.0 85.822459 ... 84.766519 86.867254
28 3840.0 84.744825 ... 87.286505 86.738820
29 3968.0 93.219206 ... 85.992909 91.403695
30 4096.0 86.369197 ... 87.324485 91.804194
10 1536.0 80.430545 ... 80.430545 78.643199
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 72.983276 59.467852
13 1920.0 69.120002 ... 71.257735 70.892307
14 2048.0 73.908442 ... 78.033565 76.959706
15 2176.0 83.155572 ... 87.494120 86.367588
16 2304.0 68.446623 ... 78.064941 77.558029
17 2432.0 71.305746 ... 86.711310 85.134737
18 2560.0 77.833728 ... 82.956960 81.512437
19 2688.0 83.737433 ... 90.966561 89.254248
20 2816.0 80.173175 ... 83.392363 84.035084
21 2944.0 82.102191 ... 83.060049 83.337844
22 3072.0 80.430545 ... 89.735509 87.787755
23 3200.0 83.116885 ... 95.096582 96.096095
24 3328.0 83.419811 ... 84.447271 83.130825
25 3456.0 81.932484 ... 87.252780 91.407671
26 3584.0 87.296493 ... 99.574077 98.699661
27 3712.0 83.247783 ... 89.553872 81.415926
28 3840.0 84.679936 ... 93.405401 84.679936
29 3968.0 92.652949 ... 88.744681 85.361267
30 4096.0 91.553703 ... 85.001726 84.626564
[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 35.166 seconds)
**Total running time of the script:** ( 6 minutes 32.019 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: