[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-04-11 00:41:40 +00:00
parent be39c1e8bc
commit 56933acae6
156 changed files with 300 additions and 300 deletions

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@@ -458,37 +458,37 @@ 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 2.730667 ... 3.276800 2.978909
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
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 47.396572 47.396572
7 1152.0 44.566925 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 68.147202
9 1408.0 64.138541 ... 69.009825 69.009825
10 1536.0 79.526831 ... 80.430545 80.430545
11 1664.0 62.929456 ... 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 73.908442 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.115360 86.367588
16 2304.0 68.251065 ... 77.307030 77.307030
17 2432.0 71.125224 ... 75.522751 75.320281
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 82.106182 ... 90.966561 90.102270
20 2816.0 80.026067 ... 79.806423 83.392363
21 2944.0 81.166173 ... 83.337844 83.060049
22 3072.0 80.316458 ... 88.750943 87.246694
23 3200.0 79.651524 ... 96.168294 96.676741
24 3328.0 83.034941 ... 85.602017 82.843841
25 3456.0 79.430113 ... 92.033756 84.508982
26 3584.0 84.905939 ... 88.236146 94.548254
27 3712.0 85.455380 ... 85.565182 84.946722
28 3840.0 84.744825 ... 92.895423 85.533390
29 3968.0 91.472214 ... 84.856701 92.093539
30 4096.0 86.591209 ... 94.121827 86.035284
11 1664.0 62.929456 ... 62.929456 62.929456
12 1792.0 72.512412 ... 63.142831 62.790080
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.262953 ... 78.033565 77.672296
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.446623 ... 77.810656 77.057651
17 2432.0 71.125224 ... 75.320281 75.118889
18 2560.0 77.833728 ... 81.920002 82.125311
19 2688.0 83.552988 ... 90.102270 90.316801
20 2816.0 79.879498 ... 84.197315 83.552120
21 2944.0 78.854483 ... 82.509987 83.617504
22 3072.0 82.420822 ... 89.593522 89.877939
23 3200.0 84.432717 ... 96.385543 95.096582
24 3328.0 82.275764 ... 84.003845 84.695641
25 3456.0 82.099354 ... 91.407671 91.824110
26 3584.0 82.377818 ... 91.380335 93.370085
27 3712.0 84.730571 ... 89.594031 83.876864
28 3840.0 84.615146 ... 92.545605 85.663823
29 3968.0 90.859224 ... 85.932350 86.726322
30 4096.0 93.825748 ... 86.037005 88.475759
[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:** ( 6 minutes 11.287 seconds)
**Total running time of the script:** ( 6 minutes 4.629 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: