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
2022-02-25 00:41:35 +00:00
parent 9ff187eb68
commit ee0571dacd
159 changed files with 293 additions and 293 deletions
Download Patch File Download Diff File Expand all files Collapse all files

50
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
View File

@@ -458,37 +458,37 @@ 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 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 16.384000 15.420235
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 37.971025
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
9 1408.0 64.138541 ... 67.305878 65.684049
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.061463 62.492442
12 1792.0 72.512412 ... 71.588687 72.047592
13 1920.0 69.467336 ... 70.172588 70.172588
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 69.120002 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.998493
16 2304.0 68.643310 ... 76.809875 76.809875
17 2432.0 71.487187 ... 74.521127 84.877538
18 2560.0 77.833728 ... 81.108913 80.808877
19 2688.0 82.823267 ... 89.676257 89.464755
20 2816.0 80.617762 ... 82.602666 83.392363
21 2944.0 81.832567 ... 82.102191 82.102191
22 3072.0 82.121977 ... 88.335577 86.911900
23 3200.0 78.717759 ... 91.559367 92.753621
24 3328.0 79.990330 ... 83.130825 83.905938
25 3456.0 81.724858 ... 91.304157 90.892410
26 3584.0 83.101104 ... 91.563533 96.579370
27 3712.0 85.748791 ... 86.045381 91.901879
28 3840.0 80.313725 ... 86.265212 91.322872
29 3968.0 86.911637 ... 90.221021 83.922926
30 4096.0 92.755862 ... 88.301134 82.342167
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.446623 ... 77.057651 76.809875
17 2432.0 71.487187 ... 84.367759 85.134737
18 2560.0 78.019048 ... 80.908642 80.511054
19 2688.0 83.737433 ... 89.888756 89.254248
20 2816.0 81.827785 ... 82.602666 82.135981
21 2944.0 82.237674 ... 82.237674 82.102191
22 3072.0 81.589488 ... 88.473602 88.197981
23 3200.0 84.656085 ... 95.096582 94.955488
24 3328.0 83.034941 ... 84.200347 83.808259
25 3456.0 78.655188 ... 87.823058 87.632137
26 3584.0 87.466332 ... 98.375705 93.467144
27 3712.0 84.159518 ... 87.018592 88.092894
28 3840.0 79.505392 ... 87.217666 91.473945
29 3968.0 85.871877 ... 91.062642 84.038524
30 4096.0 93.012976 ... 86.396995 89.958266
[31 rows x 5 columns]
@@ -498,7 +498,7 @@ 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 5.749 seconds)
**Total running time of the script:** ( 5 minutes 56.421 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: