[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-07 00:51:30 +00:00
parent 73ee4b1d0d
commit 355b06f4b3
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 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
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 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 ... 48.161033 47.396572
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 47.396572 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 67.305878
10 1536.0 80.430545 ... 80.430545 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
9 1408.0 64.138541 ... 68.147202 67.305878
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.492442 ... 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
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 85.393507
18 2560.0 77.833728 ... 82.539044 81.512437
19 2688.0 83.737433 ... 91.185232 89.254248
20 2816.0 79.879498 ... 82.602666 83.392363
21 2944.0 82.102191 ... 82.990890 83.337844
22 3072.0 80.202695 ... 89.170242 87.381335
23 3200.0 82.474230 ... 96.676741 95.238096
24 3328.0 82.843841 ... 86.062515 84.795401
25 3456.0 81.026701 ... 91.200871 87.347312
26 3584.0 87.381330 ... 95.350361 98.268190
27 3712.0 85.970176 ... 89.353616 87.552452
28 3840.0 79.192264 ... 91.853823 85.796739
29 3968.0 87.850207 ... 86.449828 89.988156
30 4096.0 86.509232 ... 92.948562 87.352901
17 2432.0 71.305746 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.331658 81.920002
19 2688.0 83.552988 ... 91.404957 89.464755
20 2816.0 79.879498 ... 84.360174 83.873477
21 2944.0 82.237674 ... 81.431424 83.337844
22 3072.0 81.589488 ... 89.030036 88.612060
23 3200.0 84.993363 ... 96.822991 95.808380
24 3328.0 82.891535 ... 85.602017 84.101981
25 3456.0 80.300370 ... 91.771848 86.596744
26 3584.0 85.633710 ... 90.458141 95.451583
27 3712.0 83.247783 ... 86.829501 87.552452
28 3840.0 81.019778 ... 88.971840 91.853823
29 3968.0 85.753071 ... 85.600795 89.988156
30 4096.0 88.651075 ... 88.768339 89.299883
[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 14.457 seconds)
**Total running time of the script:** ( 6 minutes 20.627 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: