[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 2.978909 ... 2.978909 3.276800
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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 ... 15.420235 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 39.025776 ... 40.140799 39.025776
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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 48.161033
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7 1152.0 45.242181 ... 48.161033 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 67.305878
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10 1536.0 80.430545 ... 81.355034 79.526831
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9 1408.0 64.138541 ... 69.009825 68.147202
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10 1536.0 80.430545 ... 80.430545 78.643199
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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 68.776119 ... 71.257735 71.257735
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12 1792.0 72.983276 ... 73.460287 59.467852
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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 ... 87.876193 86.367588
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16 2304.0 68.446623 ... 77.810656 77.307030
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17 2432.0 71.305746 ... 86.711310 85.653855
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18 2560.0 77.833728 ... 82.956960 81.108913
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19 2688.0 83.369354 ... 90.316801 90.102270
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20 2816.0 79.587973 ... 84.687779 83.153880
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21 2944.0 81.967162 ... 83.617504 81.967162
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22 3072.0 81.707223 ... 90.020831 88.060814
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23 3200.0 83.879425 ... 95.238096 87.673110
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24 3328.0 83.226931 ... 82.748617 84.895397
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25 3456.0 81.353753 ... 88.207407 91.200871
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26 3584.0 87.296493 ... 99.354022 97.628001
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27 3712.0 82.421427 ... 89.353616 83.247783
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28 3840.0 83.339866 ... 91.398346 86.840987
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29 3968.0 86.849777 ... 92.302520 84.066569
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30 4096.0 93.077479 ... 83.055527 82.340585
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15 2176.0 83.155572 ... 87.876193 85.998493
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16 2304.0 68.446623 ... 78.064941 77.307030
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17 2432.0 71.305746 ... 86.179335 85.653855
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18 2560.0 77.833728 ... 82.539044 81.310171
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19 2688.0 83.737433 ... 90.532356 89.676257
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20 2816.0 80.767055 ... 83.873477 81.674548
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21 2944.0 82.237674 ... 83.477440 82.373605
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22 3072.0 81.707223 ... 89.877939 88.197981
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23 3200.0 84.544253 ... 96.822991 94.814812
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24 3328.0 83.226931 ... 85.398926 84.895397
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25 3456.0 81.766291 ... 91.511426 86.503829
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26 3584.0 83.876297 ... 95.756542 95.350361
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27 3712.0 84.159518 ... 88.837126 87.937800
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28 3840.0 85.070769 ... 93.326587 85.663823
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29 3968.0 91.198760 ... 87.097744 91.609561
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30 4096.0 86.204508 ... 93.792965 89.240508
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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 16.663 seconds)
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**Total running time of the script:** ( 6 minutes 38.507 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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