[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 ... 2.978909 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 15.420235
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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 ... 48.161033 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 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 68.147202
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10 1536.0 80.430545 ... 80.430545 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 ... 71.257735 71.257735
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10 1536.0 81.355034 ... 81.355034 79.526831
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11 1664.0 63.372618 ... 63.822072 62.929456
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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 83.155572 ... 87.876193 86.367588
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16 2304.0 68.446623 ... 77.810656 77.307030
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17 2432.0 71.305746 ... 86.711310 84.621881
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18 2560.0 77.833728 ... 82.539044 81.715711
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19 2688.0 83.737433 ... 90.102270 89.464755
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20 2816.0 79.443003 ... 84.360174 83.712490
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21 2944.0 81.832567 ... 83.337844 82.784108
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22 3072.0 81.707223 ... 90.164177 87.924073
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23 3200.0 83.879425 ... 97.116842 93.841640
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24 3328.0 83.082856 ... 85.196803 84.695641
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25 3456.0 78.732000 ... 91.824110 91.304157
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26 3584.0 86.540320 ... 91.563533 92.600816
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27 3712.0 85.748791 ... 84.766519 85.748791
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28 3840.0 84.679936 ... 93.484358 84.809814
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29 3968.0 92.512459 ... 85.003554 89.133631
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30 4096.0 86.258181 ... 92.884244 86.369197
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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 ... 86.444504 75.320281
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18 2560.0 77.833728 ... 82.747477 81.715711
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19 2688.0 83.277839 ... 90.532356 90.102270
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20 2816.0 80.320825 ... 83.873477 83.074685
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21 2944.0 81.698415 ... 80.510553 83.337844
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22 3072.0 81.472093 ... 89.735509 88.890270
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23 3200.0 84.099871 ... 96.749806 95.665176
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24 3328.0 83.130825 ... 85.297742 84.596116
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25 3456.0 81.394821 ... 92.138932 90.790053
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26 3584.0 86.623693 ... 93.370085 96.787292
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27 3712.0 85.528545 ... 86.641231 87.937800
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28 3840.0 83.402717 ... 92.429584 85.996889
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29 3968.0 92.864488 ... 80.120775 84.915752
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30 4096.0 86.204508 ... 89.062862 90.565269
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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 40.538 seconds)
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**Total running time of the script:** ( 6 minutes 24.066 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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