[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-12 00:47:45 +00:00
parent ca12a57c3b
commit c32c097ece
167 changed files with 278 additions and 278 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 2.730667 ... 3.276800 3.276800
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
0 256.0 2.978909 ... 3.276800 3.276800
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
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
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 ... 69.009825 67.305878
10 1536.0 80.430545 ... 80.430545 78.643199
9 1408.0 64.138541 ... 68.147202 67.305878
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 69.120002 ... 71.257735 71.257735
14 2048.0 73.908442 ... 78.033565 77.314362
15 2176.0 83.500614 ... 87.494120 86.367588
16 2304.0 68.446623 ... 77.810656 77.307030
17 2432.0 71.305746 ... 85.915795 85.653855
18 2560.0 77.833728 ... 82.331658 81.108913
19 2688.0 83.552988 ... 90.966561 89.888756
20 2816.0 80.026067 ... 84.197315 83.712490
21 2944.0 82.102191 ... 83.617504 82.509987
22 3072.0 81.825298 ... 89.451983 88.197981
23 3200.0 84.432717 ... 96.822991 95.808380
24 3328.0 83.226931 ... 85.398926 84.795401
25 3456.0 81.932484 ... 91.928814 88.400840
26 3584.0 86.540320 ... 98.375705 97.311031
27 3712.0 84.159518 ... 89.273764 86.118401
28 3840.0 84.132370 ... 93.012618 85.863352
29 3968.0 91.747320 ... 85.004484 87.881842
30 4096.0 92.820009 ... 91.804194 87.381330
13 1920.0 69.467336 ... 71.257735 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
[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 5.808 seconds)
**Total running time of the script:** ( 6 minutes 42.139 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: