[GH-PAGES] Updated website
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@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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0 256.0 2.730667 ... 3.276800 2.978909
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0 256.0 2.730667 ... 2.978909 2.978909
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 16.384000 16.384000
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2 512.0 14.563555 ... 16.384000 15.420235
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3 640.0 22.260869 ... 24.380953 24.380953
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4 768.0 32.768000 ... 35.389441 34.028308
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5 896.0 37.971025 ... 40.140799 39.025776
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6 1024.0 49.932191 ... 53.773130 52.428801
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7 1152.0 45.242181 ... 48.161033 47.396572
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7 1152.0 45.242181 ... 47.396572 47.396572
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8 1280.0 51.200001 ... 57.690139 57.690139
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9 1408.0 64.138541 ... 69.009825 68.147202
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9 1408.0 64.138541 ... 68.147202 67.305878
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10 1536.0 80.430545 ... 81.355034 79.526831
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11 1664.0 62.929456 ... 63.372618 62.492442
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12 1792.0 72.512412 ... 73.460287 59.467852
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13 1920.0 69.120002 ... 71.257735 71.257735
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13 1920.0 69.120002 ... 71.626943 71.257735
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14 2048.0 73.908442 ... 78.398206 77.314362
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15 2176.0 83.500614 ... 87.494120 85.998493
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16 2304.0 68.446623 ... 78.064941 77.307030
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17 2432.0 71.305746 ... 86.444504 83.614477
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18 2560.0 77.833728 ... 82.747477 80.908642
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19 2688.0 83.369354 ... 90.316801 89.359378
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20 2816.0 80.026067 ... 83.712490 83.074685
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21 2944.0 82.102191 ... 83.337844 82.784108
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22 3072.0 81.707223 ... 89.735509 88.335577
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23 3200.0 84.880639 ... 96.676741 95.665176
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24 3328.0 83.130825 ... 84.596116 84.496824
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25 3456.0 82.266905 ... 91.928814 91.200871
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26 3584.0 83.101104 ... 93.224874 90.367227
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27 3712.0 85.019017 ... 89.194055 82.287760
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28 3840.0 84.550462 ... 91.587578 84.582788
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29 3968.0 87.850207 ... 85.690965 90.054568
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30 4096.0 86.370931 ... 85.981029 91.867031
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16 2304.0 68.446623 ... 77.558029 77.307030
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17 2432.0 71.305746 ... 86.179335 85.653855
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18 2560.0 77.833728 ... 82.539044 81.715711
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19 2688.0 83.369354 ... 91.185232 89.254248
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20 2816.0 79.443003 ... 84.523664 83.233226
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21 2944.0 82.373605 ... 83.337844 82.784108
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22 3072.0 81.707223 ... 89.310890 88.890270
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23 3200.0 84.656085 ... 96.969694 95.808380
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24 3328.0 81.530349 ... 84.795401 84.397770
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25 3456.0 81.435930 ... 89.380896 91.304157
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26 3584.0 87.042978 ... 99.244365 98.375705
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27 3712.0 85.019017 ... 87.706180 87.629253
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28 3840.0 81.859361 ... 86.265212 90.352941
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29 3968.0 85.811488 ... 91.954739 84.856701
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30 4096.0 93.206754 ... 86.816123 84.599893
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[31 rows x 5 columns]
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@@ -499,7 +499,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 6 minutes 36.792 seconds)
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**Total running time of the script:** ( 6 minutes 41.087 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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