[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 ... 3.276800 2.978909
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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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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 51.150050 ... 53.773130 52.428801
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7 1152.0 45.242181 ... 48.161033 47.396572
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6 1024.0 51.150050 ... 53.773130 53.773130
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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 ... 68.147202 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 67.305878
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10 1536.0 80.430545 ... 81.355034 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 69.120002 ... 71.257735 71.257735
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12 1792.0 72.983276 ... 73.460287 59.467852
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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 ... 87.115360 85.632545
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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 75.320281
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18 2560.0 77.833728 ... 82.539044 81.310171
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19 2688.0 83.737433 ... 90.316801 89.254248
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20 2816.0 79.806423 ... 84.116121 83.873477
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21 2944.0 81.298583 ... 83.060049 83.337844
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22 3072.0 78.643199 ... 88.335577 86.315709
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23 3200.0 82.368085 ... 96.676741 95.665176
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24 3328.0 83.130825 ... 84.695641 84.397770
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25 3456.0 82.015834 ... 91.097818 90.892410
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26 3584.0 84.865870 ... 95.451583 90.367227
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27 3712.0 84.658765 ... 88.955779 87.018592
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28 3840.0 84.485870 ... 89.802683 88.473602
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29 3968.0 92.864488 ... 87.066671 89.493168
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30 4096.0 88.417474 ... 86.258181 89.898012
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17 2432.0 71.305746 ... 86.179335 85.653855
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18 2560.0 77.833728 ... 82.747477 81.108913
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19 2688.0 83.277839 ... 91.185232 89.888756
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20 2816.0 80.173175 ... 84.035084 83.712490
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21 2944.0 82.102191 ... 82.921853 82.784108
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22 3072.0 81.005868 ... 89.310890 88.335577
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23 3200.0 84.656085 ... 96.530922 95.380032
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24 3328.0 82.843841 ... 85.602017 84.298943
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25 3456.0 81.189898 ... 91.928814 88.986281
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26 3584.0 86.540320 ... 88.149642 93.273228
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27 3712.0 85.382349 ... 81.415926 87.937800
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28 3840.0 81.198237 ... 86.063813 90.058629
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29 3968.0 86.911637 ... 91.609561 86.175099
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30 4096.0 93.206754 ... 82.848854 84.573239
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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 34.417 seconds)
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**Total running time of the script:** ( 7 minutes 7.789 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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