gaspersic/triton
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[GH-PAGES] Updated website

Browse Source
This commit is contained in:
Philippe Tillet
2022-09-06 00:50:44 +00:00
parent af0e35297e
commit c46759fc89
161 changed files with 238 additions and 238 deletions
Download Patch File Download Diff File Expand all files Collapse all files

52
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
View File

@@ -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 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
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
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 39.025776 ... 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 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 69.120002 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 83.614477
18 2560.0 78.019048 ... 82.747477 81.715711
19 2688.0 83.737433 ... 90.316801 89.254248
20 2816.0 79.733474 ... 84.197315 83.074685
21 2944.0 82.034625 ... 83.060049 82.237674
22 3072.0 82.661468 ... 85.147525 88.750943
23 3200.0 84.768213 ... 94.814812 95.808380
24 3328.0 83.034941 ... 85.096096 81.346098
25 3456.0 81.026701 ... 89.579522 83.545665
26 3584.0 85.633710 ... 93.661869 94.947616
27 3712.0 85.455380 ... 87.246590 87.552452
28 3840.0 81.738356 ... 89.766237 89.693434
29 3968.0 88.938731 ... 92.163097 85.093402
30 4096.0 93.401342 ... 86.009438 85.543487
11 1664.0 63.372618 ... 63.822072 62.492442
12 1792.0 72.983276 ... 73.943582 59.625589
13 1920.0 69.467336 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.304326 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.956960 81.715711
19 2688.0 83.369354 ... 90.102270 89.464755
20 2816.0 80.099554 ... 84.687779 83.873477
21 2944.0 82.237674 ... 83.337844 82.102191
22 3072.0 81.589488 ... 89.877939 88.335577
23 3200.0 84.210524 ... 95.808380 93.841640
24 3328.0 84.003845 ... 85.398926 84.895397
25 3456.0 81.766291 ... 92.033756 91.200871
26 3584.0 86.125852 ... 92.220917 94.647779
27 3712.0 85.309435 ... 89.035062 82.287760
28 3840.0 84.485870 ... 92.817458 88.686451
29 3968.0 92.372393 ... 85.033178 90.724116
30 4096.0 86.202781 ... 92.820009 88.563330
[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 31.264 seconds)
**Total running time of the script:** ( 6 minutes 33.939 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: