[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 2.978909
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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 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 44.566925 ... 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 ... 71.626943 70.892307
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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 83.155572 ... 87.876193 85.998493
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16 2304.0 68.446623 ... 78.064941 76.809875
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17 2432.0 71.305746 ... 85.393507 83.614477
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18 2560.0 78.019048 ... 82.022525 81.512437
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19 2688.0 83.737433 ... 90.748936 89.676257
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20 2816.0 80.173175 ... 84.035084 80.099554
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21 2944.0 82.921853 ... 83.337844 82.102191
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22 3072.0 81.825298 ... 88.890270 88.060814
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23 3200.0 83.989503 ... 97.116842 93.704243
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24 3328.0 83.226931 ... 85.398926 84.397770
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25 3456.0 82.099354 ... 91.615417 91.097818
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26 3584.0 85.715344 ... 90.367227 91.563533
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27 3712.0 85.896254 ... 88.797643 83.456425
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28 3840.0 85.005380 ... 93.523887 84.485870
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29 3968.0 92.512459 ... 84.679120 91.266964
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30 4096.0 86.480498 ... 86.536250 92.214171
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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 ... 86.711310 85.653855
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18 2560.0 78.019048 ... 82.956960 81.715711
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19 2688.0 83.922689 ... 90.316801 90.102270
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20 2816.0 79.587973 ... 83.873477 83.873477
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21 2944.0 81.832567 ... 83.617504 82.921853
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22 3072.0 81.707223 ... 90.164177 88.197981
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23 3200.0 82.262212 ... 97.190583 95.238096
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24 3328.0 82.843841 ... 85.196803 84.200347
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25 3456.0 79.430113 ... 85.133652 82.604067
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26 3584.0 87.381330 ... 99.244365 91.563533
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27 3712.0 84.874549 ... 82.902362 86.044224
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28 3840.0 84.550462 ... 93.405401 84.809814
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29 3968.0 92.512459 ... 84.975809 90.859224
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30 4096.0 86.313653 ... 93.792965 90.321484
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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 43.164 seconds)
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**Total running time of the script:** ( 6 minutes 38.502 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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