[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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0 256.0 2.730667 ... 3.276800 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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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 ... 47.396572 47.396572
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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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8 1280.0 51.200001 ... 57.690139 57.690139
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9 1408.0 64.138541 ... 68.147202 67.305878
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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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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 71.257735
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13 1920.0 68.776119 ... 71.626943 70.892307
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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 77.057651
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17 2432.0 71.305746 ... 85.915795 75.522751
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18 2560.0 78.019048 ... 82.956960 81.512437
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19 2688.0 83.737433 ... 90.102270 88.836198
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20 2816.0 80.026067 ... 84.197315 83.233226
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21 2944.0 81.967162 ... 83.198715 83.337844
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22 3072.0 81.943708 ... 87.924073 86.845249
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23 3200.0 79.900126 ... 96.385543 95.522391
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24 3328.0 83.613586 ... 85.196803 84.298943
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25 3456.0 81.849303 ... 91.615417 85.676480
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26 3584.0 84.825838 ... 91.470385 95.249353
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27 3712.0 84.088676 ... 88.561477 84.910620
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28 3840.0 85.070769 ... 91.473945 85.796739
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29 3968.0 88.938731 ... 92.337443 87.159957
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30 4096.0 93.596744 ... 92.916396 86.396995
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15 2176.0 83.155572 ... 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 75.320281
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18 2560.0 77.926278 ... 82.539044 81.310171
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19 2688.0 83.369354 ... 90.532356 89.676257
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20 2816.0 79.587973 ... 83.392363 83.153880
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21 2944.0 81.967162 ... 83.337844 82.102191
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22 3072.0 81.355034 ... 87.112467 88.750943
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23 3200.0 84.880639 ... 96.676741 95.238096
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24 3328.0 82.748617 ... 85.297742 84.101981
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25 3456.0 82.688790 ... 91.615417 89.679166
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26 3584.0 87.466332 ... 88.066008 95.960933
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27 3712.0 81.548851 ... 87.629253 87.552452
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28 3840.0 81.079177 ... 85.996889 90.058629
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29 3968.0 86.849777 ... 91.609561 85.093402
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30 4096.0 92.948562 ... 86.816123 86.592080
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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 11.839 seconds)
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**Total running time of the script:** ( 7 minutes 9.656 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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