[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 3.276800
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0 256.0 2.978909 ... 3.276800 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 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 49.932191 ... 53.773130 52.428801
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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 ... 69.009825 67.305878
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9 1408.0 64.138541 ... 69.009825 68.147202
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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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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 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 77.307030
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17 2432.0 71.305746 ... 86.711310 85.393507
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18 2560.0 77.833728 ... 82.125311 81.512437
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19 2688.0 83.922689 ... 90.316801 90.316801
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20 2816.0 79.733474 ... 84.360174 83.074685
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21 2944.0 81.967162 ... 83.198715 82.373605
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22 3072.0 82.241254 ... 89.593522 88.750943
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23 3200.0 84.544253 ... 96.969694 95.238096
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24 3328.0 83.034941 ... 85.398926 84.298943
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25 3456.0 82.015834 ... 91.511426 90.790053
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26 3584.0 85.715344 ... 94.349836 97.734120
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27 3712.0 85.455380 ... 86.940496 87.284705
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28 3840.0 83.120631 ... 92.778524 85.629632
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29 3968.0 90.791620 ... 86.266483 90.054568
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30 4096.0 91.678778 ... 92.852115 88.330190
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15 2176.0 83.500614 ... 87.876193 86.367588
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16 2304.0 68.446623 ... 78.064941 77.057651
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17 2432.0 71.305746 ... 85.915795 83.366361
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18 2560.0 77.833728 ... 81.715711 81.310171
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19 2688.0 83.369354 ... 90.532356 90.102270
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20 2816.0 81.445766 ... 84.035084 83.873477
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21 2944.0 81.564701 ... 83.477440 82.921853
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22 3072.0 82.420822 ... 89.735509 88.750943
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23 3200.0 84.544253 ... 97.116842 95.096582
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24 3328.0 83.905938 ... 85.806075 83.808259
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25 3456.0 82.773682 ... 90.180725 90.687926
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26 3584.0 87.042978 ... 99.244365 98.268190
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27 3712.0 81.482335 ... 88.718781 88.248537
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28 3840.0 82.531346 ... 89.043476 89.912191
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29 3968.0 86.911637 ... 92.652949 84.094627
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30 4096.0 93.368854 ... 83.313299 89.928129
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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 4.446 seconds)
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**Total running time of the script:** ( 6 minutes 37.798 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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