[GH-PAGES] Updated website
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@@ -470,26 +470,26 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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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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10 1536.0 80.430545 ... 81.355034 79.526831
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11 1664.0 63.372618 ... 63.822072 62.492442
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12 1792.0 72.983276 ... 73.460287 59.467852
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13 1920.0 69.120002 ... 71.257735 71.257735
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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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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 77.307030
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17 2432.0 71.305746 ... 86.179335 84.877538
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18 2560.0 78.019048 ... 82.539044 81.715711
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19 2688.0 83.186525 ... 90.102270 89.888756
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20 2816.0 79.733474 ... 83.712490 82.446516
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21 2944.0 81.564701 ... 83.477440 82.102191
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22 3072.0 82.540970 ... 88.890270 88.060814
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23 3200.0 83.879425 ... 96.240602 94.814812
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24 3328.0 83.226931 ... 83.613586 84.795401
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25 3456.0 82.604067 ... 90.180725 91.097818
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26 3584.0 86.958797 ... 99.463928 93.661869
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27 3712.0 83.247783 ... 89.433611 85.970176
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28 3840.0 84.228485 ... 92.545605 84.423387
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29 3968.0 91.266964 ... 86.327507 86.175099
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30 4096.0 91.867031 ... 93.858555 86.285908
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15 2176.0 83.500614 ... 87.876193 86.367588
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16 2304.0 68.446623 ... 77.558029 77.307030
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17 2432.0 71.305746 ... 86.711310 85.653855
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18 2560.0 77.833728 ... 82.331658 81.715711
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19 2688.0 83.369354 ... 90.532356 89.044730
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20 2816.0 80.026067 ... 84.197315 83.074685
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21 2944.0 79.993635 ... 83.060049 81.564701
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22 3072.0 82.301023 ... 88.473602 84.638425
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23 3200.0 84.321474 ... 96.530922 95.380032
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24 3328.0 83.130825 ... 85.703924 81.162679
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25 3456.0 82.688790 ... 86.318594 89.281913
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26 3584.0 86.958797 ... 98.375705 98.591437
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27 3712.0 84.230479 ... 88.326564 87.976522
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28 3840.0 80.960466 ... 84.842346 89.839159
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29 3968.0 87.004591 ... 92.372393 83.922926
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30 4096.0 93.206754 ... 82.393504 87.154371
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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 38.626 seconds)
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**Total running time of the script:** ( 6 minutes 41.839 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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