[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-13 00:50:31 +00:00
parent c32c097ece
commit fa97b57bec
163 changed files with 260 additions and 260 deletions

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@@ -459,7 +459,7 @@ 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 ... 3.276800 3.276800
0 256.0 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
@@ -468,28 +468,28 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 67.305878
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.467336 ... 71.257735 71.257735
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.943582 59.784168
13 1920.0 69.467336 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.494120 85.998493
16 2304.0 68.251065 ... 78.064941 77.057651
17 2432.0 71.305746 ... 85.915795 75.320281
18 2560.0 78.019048 ... 82.125311 81.108913
19 2688.0 83.186525 ... 90.316801 89.676257
20 2816.0 79.879498 ... 84.360174 82.916747
21 2944.0 82.237674 ... 82.921853 80.510553
22 3072.0 82.540970 ... 89.522696 88.612060
23 3200.0 83.116885 ... 88.888888 96.096095
24 3328.0 83.275067 ... 83.808259 83.905938
25 3456.0 81.766291 ... 87.347312 88.400840
26 3584.0 87.381330 ... 99.244365 98.483450
27 3712.0 82.491612 ... 86.416391 87.629253
28 3840.0 80.197243 ... 87.114612 89.948756
29 3968.0 86.942599 ... 91.816356 86.296981
30 4096.0 93.077479 ... 85.244667 82.343743
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 85.915795 85.653855
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 83.186525 ... 90.102270 89.464755
20 2816.0 80.767055 ... 84.687779 83.873477
21 2944.0 81.832567 ... 83.617504 81.967162
22 3072.0 81.005868 ... 88.060814 86.712254
23 3200.0 78.769229 ... 96.240602 95.522391
24 3328.0 83.419811 ... 84.695641 83.905938
25 3456.0 81.849303 ... 83.544315 89.183149
26 3584.0 87.296493 ... 98.375705 98.375705
27 3712.0 81.548851 ... 88.876645 87.475786
28 3840.0 82.654712 ... 88.828912 89.985351
29 3968.0 85.811488 ... 91.816356 85.212248
30 4096.0 93.142072 ... 88.827088 86.480498
[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:** ( 6 minutes 42.139 seconds)
**Total running time of the script:** ( 6 minutes 32.427 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: