[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-26 00:49:56 +00:00
parent a1fd5d2238
commit 65cfbbabe5
167 changed files with 304 additions and 304 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 2.978909 ... 2.978909 3.276800
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
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
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 44.566925 ... 47.396572 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 62.492442 ... 63.372618 62.492442
10 1536.0 80.430545 ... 80.430545 78.643199
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 68.776119 ... 71.257735 71.257735
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 85.653855 75.320281
18 2560.0 77.833728 ... 82.747477 81.108913
19 2688.0 83.186525 ... 90.102270 90.316801
20 2816.0 80.173175 ... 84.523664 83.712490
21 2944.0 81.832567 ... 83.198715 81.832567
22 3072.0 82.420822 ... 89.877939 88.890270
23 3200.0 84.544253 ... 96.822991 94.955488
24 3328.0 83.130825 ... 85.196803 84.695641
25 3456.0 82.015834 ... 91.719645 91.563392
26 3584.0 87.381330 ... 94.697621 95.451583
27 3712.0 83.386762 ... 87.246590 87.475786
28 3840.0 80.197243 ... 89.548180 91.891984
29 3968.0 88.039362 ... 90.522206 84.328915
30 4096.0 92.245860 ... 84.149044 89.837839
16 2304.0 68.251065 ... 78.064941 77.057651
17 2432.0 71.305746 ... 83.614477 83.366361
18 2560.0 77.833728 ... 82.747477 81.715711
19 2688.0 83.922689 ... 90.748936 89.044730
20 2816.0 82.759409 ... 84.197315 83.712490
21 2944.0 81.298583 ... 83.899046 80.771529
22 3072.0 81.825298 ... 89.310890 87.246694
23 3200.0 81.424937 ... 97.116842 95.096582
24 3328.0 84.003845 ... 85.908470 84.101981
25 3456.0 79.118323 ... 85.585527 88.400840
26 3584.0 87.127323 ... 99.518972 95.756542
27 3712.0 84.159518 ... 84.658765 87.937800
28 3840.0 84.615146 ... 89.042358 84.323810
29 3968.0 92.512459 ... 81.950257 84.915752
30 4096.0 87.381330 ... 85.489001 90.079009
[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 8.214 seconds)
**Total running time of the script:** ( 6 minutes 21.317 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: