[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 ... 2.978909 2.978909
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1 384.0 7.372800 ... 8.507077 7.899428
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2 512.0 14.563555 ... 15.420235 15.420235
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0 256.0 2.978909 ... 2.978909 3.276800
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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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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 51.150050 ... 53.773130 52.428801
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7 1152.0 45.242181 ... 48.161033 47.396572
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5 896.0 39.025776 ... 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 48.161033
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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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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 70.892307
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13 1920.0 69.120002 ... 71.257735 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 86.367588
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16 2304.0 68.251065 ... 78.064941 77.307030
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17 2432.0 71.305746 ... 85.915795 83.366361
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18 2560.0 77.833728 ... 82.125311 81.108913
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19 2688.0 83.186525 ... 90.316801 89.888756
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20 2816.0 78.868366 ... 84.197315 83.074685
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21 2944.0 80.510553 ... 82.784108 82.784108
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22 3072.0 81.943708 ... 85.792579 88.404536
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23 3200.0 84.265962 ... 96.676741 95.238096
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24 3328.0 82.796202 ... 85.196803 82.417052
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25 3456.0 80.783132 ... 85.133652 88.400840
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26 3584.0 87.085130 ... 99.463928 90.412661
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27 3712.0 82.423549 ... 88.170647 87.246590
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28 3840.0 82.654712 ... 91.625518 84.615146
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29 3968.0 89.756482 ... 92.197915 85.212248
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30 4096.0 93.466385 ... 83.156833 85.652663
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15 2176.0 83.500614 ... 87.876193 86.367588
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16 2304.0 68.446623 ... 78.064941 77.307030
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17 2432.0 71.305746 ... 86.179335 85.653855
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18 2560.0 77.833728 ... 82.125311 81.715711
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19 2688.0 83.552988 ... 90.748936 89.254248
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20 2816.0 83.873477 ... 84.687779 83.873477
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21 2944.0 81.967162 ... 81.431424 83.337844
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22 3072.0 81.589488 ... 86.712254 88.197981
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23 3200.0 84.099871 ... 96.749806 95.238096
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24 3328.0 82.939284 ... 85.096096 84.695641
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25 3456.0 80.300370 ... 91.615417 86.596744
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26 3584.0 83.876297 ... 88.152348 93.857401
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27 3712.0 85.528545 ... 83.526206 87.629253
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28 3840.0 81.798814 ... 88.086021 90.058629
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29 3968.0 87.976885 ... 91.989400 86.296981
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30 4096.0 93.142072 ... 83.105343 84.626564
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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 17.908 seconds)
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**Total running time of the script:** ( 6 minutes 29.672 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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