[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 8.507077
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2 512.0 14.563555 ... 15.420235 16.384000
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0 256.0 2.730667 ... 3.276800 2.978909
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1 384.0 7.372800 ... 7.899428 7.899428
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2 512.0 14.563555 ... 15.420235 15.420235
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3 640.0 22.260869 ... 24.380953 24.380953
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4 768.0 32.768000 ... 34.028308 34.028308
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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 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 ... 68.147202 66.485074
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10 1536.0 79.526831 ... 81.355034 79.526831
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11 1664.0 63.372618 ... 63.372618 62.492442
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12 1792.0 72.983276 ... 73.460287 59.467852
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13 1920.0 68.776119 ... 71.257735 70.892307
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14 2048.0 73.584279 ... 78.398206 77.314362
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15 2176.0 83.155572 ... 87.494120 86.367588
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16 2304.0 68.446623 ... 78.064941 77.558029
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17 2432.0 71.487187 ... 86.711310 75.320281
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18 2560.0 77.833728 ... 82.747477 81.613947
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19 2688.0 83.369354 ... 90.966561 89.676257
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20 2816.0 83.552120 ... 84.360174 84.197315
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21 2944.0 81.298583 ... 83.060049 83.198715
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22 3072.0 81.884457 ... 87.787755 85.404375
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23 3200.0 85.106381 ... 96.896287 95.522391
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24 3328.0 83.808259 ... 85.806075 85.602017
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25 3456.0 79.351933 ... 87.064328 89.183149
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26 3584.0 87.127323 ... 91.192076 96.787292
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27 3712.0 85.675250 ... 93.274830 87.937800
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28 3840.0 81.798814 ... 86.197974 90.279183
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29 3968.0 86.051653 ... 92.864488 86.205539
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30 4096.0 94.386588 ... 88.243079 84.573239
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12 1792.0 72.983276 ... 72.983276 59.154861
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13 1920.0 68.776119 ... 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 85.998493
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16 2304.0 68.251065 ... 78.064941 77.307030
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17 2432.0 71.125224 ... 86.979769 85.915795
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18 2560.0 77.833728 ... 82.747477 81.715711
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19 2688.0 84.295681 ... 90.966561 89.464755
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20 2816.0 84.035084 ... 85.017948 83.233226
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21 2944.0 82.237674 ... 83.198715 82.509987
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22 3072.0 82.420822 ... 89.735509 87.651868
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23 3200.0 83.333330 ... 91.168092 95.952022
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24 3328.0 83.468170 ... 84.795401 84.895397
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25 3456.0 81.849303 ... 90.586029 91.097818
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26 3584.0 87.042978 ... 95.451583 97.787265
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27 3712.0 85.785610 ... 89.194055 85.163978
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28 3840.0 84.940091 ... 93.801526 87.148936
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29 3968.0 92.864488 ... 87.159957 91.712842
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30 4096.0 86.536250 ... 85.652663 90.626421
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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:** ( 7 minutes 8.783 seconds)
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**Total running time of the script:** ( 7 minutes 14.455 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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