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
2022-06-26 00:50:12 +00:00
parent 37abd97851
commit 09a0e3767a
159 changed files with 246 additions and 246 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 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
0 256.0 2.978909 ... 2.978909 3.276800
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 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 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 66.485074
10 1536.0 79.526831 ... 80.430545 78.643199
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.467336 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 75.118889
18 2560.0 77.833728 ... 82.125311 81.512437
19 2688.0 83.737433 ... 91.185232 89.254248
20 2816.0 80.617762 ... 84.523664 83.074685
21 2944.0 80.767437 ... 83.060049 82.509987
22 3072.0 81.121923 ... 89.310890 87.381335
23 3200.0 84.656085 ... 96.969694 95.380032
24 3328.0 83.226931 ... 85.908470 84.101981
25 3456.0 81.766291 ... 87.158452 81.026701
26 3584.0 87.000867 ... 98.808123 97.153313
27 3712.0 82.355598 ... 89.114488 82.593917
28 3840.0 84.615146 ... 92.934455 84.552479
29 3968.0 91.816356 ... 87.097744 91.540836
30 4096.0 86.482237 ... 89.777746 91.491294
10 1536.0 80.430545 ... 81.355034 78.643199
11 1664.0 63.372618 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.983276 59.467852
13 1920.0 68.776119 ... 71.626943 71.257735
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.643310 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.179335 85.393507
18 2560.0 77.833728 ... 82.956960 81.512437
19 2688.0 84.108772 ... 91.185232 88.216412
20 2816.0 83.074685 ... 84.687779 83.074685
21 2944.0 82.102191 ... 83.617504 82.646820
22 3072.0 82.420822 ... 89.170242 88.335577
23 3200.0 84.432717 ... 97.338403 95.665176
24 3328.0 82.464255 ... 85.602017 83.516586
25 3456.0 81.849303 ... 92.033756 90.281712
26 3584.0 84.745889 ... 91.284657 95.960933
27 3712.0 85.822459 ... 88.483034 87.552452
28 3840.0 81.019778 ... 86.265212 89.620748
29 3968.0 86.911637 ... 92.512459 84.038524
30 4096.0 93.792965 ... 92.755862 87.552332
[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 4.553 seconds)
**Total running time of the script:** ( 6 minutes 0.489 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: