[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-04-19 00:42:04 +00:00
parent abcd11edba
commit 245e5ab128
154 changed files with 242 additions and 242 deletions

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@@ -459,36 +459,36 @@ 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 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 7.899428
1 384.0 7.372800 ... 8.507077 8.507077
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 37.971025 ... 40.140799 40.140799
5 896.0 37.971025 ... 41.321411 40.140799
6 1024.0 49.932191 ... 53.773130 53.773130
7 1152.0 44.566925 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 69.009825
10 1536.0 80.430545 ... 81.355034 80.430545
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.142831 62.790080
10 1536.0 80.430545 ... 80.430545 80.430545
11 1664.0 63.372618 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.142831 63.142831
13 1920.0 69.120002 ... 71.626943 70.892307
14 2048.0 73.262953 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.494120 86.739860
16 2304.0 68.446623 ... 77.810656 77.558029
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 81.512437 81.715711
19 2688.0 83.552988 ... 90.966561 90.532356
20 2816.0 83.873477 ... 83.712490 83.712490
21 2944.0 81.832567 ... 84.040530 83.899046
22 3072.0 81.121923 ... 88.890270 88.750943
23 3200.0 84.544253 ... 95.665176 94.117647
24 3328.0 79.901550 ... 83.226931 84.795401
25 3456.0 82.519518 ... 88.692595 91.304157
26 3584.0 87.211821 ... 99.134944 99.684470
27 3712.0 80.757757 ... 86.790606 87.399253
28 3840.0 81.019778 ... 85.531326 91.322872
29 3968.0 86.114283 ... 90.522206 85.811488
30 4096.0 91.491294 ... 83.158446 85.816960
14 2048.0 73.584279 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 77.810656 77.558029
17 2432.0 71.125224 ... 75.726318 75.320281
18 2560.0 77.833728 ... 81.920002 81.512437
19 2688.0 83.369354 ... 91.404957 90.748936
20 2816.0 83.392363 ... 83.712490 83.873477
21 2944.0 81.967162 ... 83.477440 82.373605
22 3072.0 78.752578 ... 88.612060 87.246694
23 3200.0 79.601989 ... 96.096095 95.952022
24 3328.0 84.003845 ... 85.196803 85.703924
25 3456.0 81.683457 ... 92.350019 92.508971
26 3584.0 84.745889 ... 88.412386 94.250936
27 3712.0 85.675250 ... 87.706180 87.399253
28 3840.0 83.465663 ... 88.332269 91.777595
29 3968.0 88.040360 ... 91.678389 86.788006
30 4096.0 93.531519 ... 83.156833 86.593830
[31 rows x 5 columns]
@@ -498,7 +498,7 @@ 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:** ( 5 minutes 58.307 seconds)
**Total running time of the script:** ( 6 minutes 8.669 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: