[GH-PAGES] Updated website
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@@ -466,30 +466,30 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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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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7 1152.0 45.242181 ... 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 63.372618 ... 63.372618 62.492442
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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 69.120002 ... 71.626943 71.626943
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14 2048.0 73.908442 ... 78.398206 77.314362
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15 2176.0 83.155572 ... 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 ... 86.711310 75.320281
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18 2560.0 77.833728 ... 82.331658 81.108913
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19 2688.0 83.922689 ... 90.748936 89.676257
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20 2816.0 79.879498 ... 82.446516 83.873477
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21 2944.0 81.967162 ... 83.617504 83.337844
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22 3072.0 81.825298 ... 89.593522 88.750943
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23 3200.0 84.993363 ... 96.822991 95.808380
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24 3328.0 83.130825 ... 84.596116 84.200347
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25 3456.0 81.518272 ... 91.407671 90.943675
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26 3584.0 85.797134 ... 91.470385 91.470385
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27 3712.0 84.088676 ... 89.273764 83.247783
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28 3840.0 85.005380 ... 92.006659 85.763472
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29 3968.0 85.809605 ... 92.232760 86.175099
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30 4096.0 93.433852 ... 85.871008 92.245860
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15 2176.0 83.500614 ... 87.876193 86.367588
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16 2304.0 68.643310 ... 78.064941 77.307030
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17 2432.0 71.305746 ... 84.621881 84.115159
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18 2560.0 78.019048 ... 82.331658 81.715711
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19 2688.0 83.369354 ... 90.102270 89.888756
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20 2816.0 79.733474 ... 84.687779 83.233226
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21 2944.0 82.034625 ... 83.060049 82.784108
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22 3072.0 82.062468 ... 87.112467 88.890270
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23 3200.0 84.768213 ... 96.676741 95.522391
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24 3328.0 83.130825 ... 85.297742 84.298943
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25 3456.0 79.430113 ... 91.928814 90.790053
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26 3584.0 85.633710 ... 90.275083 94.697621
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27 3712.0 85.822459 ... 81.414891 86.716441
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28 3840.0 81.019778 ... 87.217666 90.500819
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29 3968.0 85.869991 ... 92.024087 84.039426
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30 4096.0 93.336389 ... 84.254693 89.777746
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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 36.303 seconds)
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**Total running time of the script:** ( 6 minutes 31.595 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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