[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-02-23 00:41:10 +00:00
parent c9eba0bba7
commit 88ffe73184
158 changed files with 276 additions and 276 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 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 23.272727 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 39.025776 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 79.526831 ... 79.526831 79.526831
11 1664.0 62.929456 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.172588 69.818184
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.632545
16 2304.0 68.251065 ... 77.057651 76.809875
17 2432.0 71.487187 ... 84.877538 84.367759
18 2560.0 78.019048 ... 81.108913 80.511054
19 2688.0 83.186525 ... 90.102270 89.044736
20 2816.0 81.674548 ... 82.759409 82.759409
21 2944.0 82.921853 ... 81.832567 81.967162
22 3072.0 81.707223 ... 88.060814 88.750943
23 3200.0 80.503145 ... 87.791493 91.888011
24 3328.0 79.901550 ... 84.895397 84.695641
25 3456.0 81.849303 ... 91.407671 91.200871
26 3584.0 84.427601 ... 90.458141 96.579370
27 3712.0 85.748791 ... 86.980708 87.170458
28 3840.0 79.334289 ... 91.777595 84.292684
29 3968.0 90.859224 ... 84.915752 90.994735
30 4096.0 86.424811 ... 84.735086 91.678778
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 71.588687
13 1920.0 68.776119 ... 70.530615 69.818184
14 2048.0 73.584279 ... 76.608294 76.608294
15 2176.0 83.500614 ... 85.998493 85.632545
16 2304.0 68.643310 ... 76.809875 76.563695
17 2432.0 71.487187 ... 83.119713 85.134737
18 2560.0 78.019048 ... 80.511054 80.511054
19 2688.0 83.737433 ... 89.888756 89.464755
20 2816.0 82.602666 ... 82.759409 82.602666
21 2944.0 82.102191 ... 82.509987 82.784108
22 3072.0 82.661468 ... 87.924073 85.275760
23 3200.0 84.993363 ... 95.665176 94.674553
24 3328.0 82.939284 ... 83.130825 84.596116
25 3456.0 81.766291 ... 91.097818 84.597660
26 3584.0 84.905939 ... 93.759530 87.296493
27 3712.0 84.159518 ... 86.341700 86.867254
28 3840.0 84.874902 ... 92.236860 84.552479
29 3968.0 92.302520 ... 84.098250 90.791620
30 4096.0 86.426548 ... 85.434583 91.180520
[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 59.250 seconds)
**Total running time of the script:** ( 6 minutes 6.796 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: