diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
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diff --git a/_images/sphx_glr_01-vector-add_001.png b/_images/sphx_glr_01-vector-add_001.png
index 9975c0666..c0a985d8f 100644
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diff --git a/_images/sphx_glr_01-vector-add_thumb.png b/_images/sphx_glr_01-vector-add_thumb.png
index 002438c0c..392112bdd 100644
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diff --git a/_images/sphx_glr_02-fused-softmax_001.png b/_images/sphx_glr_02-fused-softmax_001.png
index b5846b432..ad6d87c1e 100644
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diff --git a/_images/sphx_glr_02-fused-softmax_thumb.png b/_images/sphx_glr_02-fused-softmax_thumb.png
index 4f9eb867e..6e732fde8 100644
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diff --git a/_images/sphx_glr_03-matrix-multiplication_001.png b/_images/sphx_glr_03-matrix-multiplication_001.png
index c1ee144ec..7b9e8d723 100644
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diff --git a/_images/sphx_glr_03-matrix-multiplication_thumb.png b/_images/sphx_glr_03-matrix-multiplication_thumb.png
index b7534d1bd..9102541d7 100644
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diff --git a/_sources/getting-started/tutorials/01-vector-add.rst.txt b/_sources/getting-started/tutorials/01-vector-add.rst.txt
index 1f8be9b45..31887b3eb 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -222,14 +222,14 @@ We can now run the decorated function above. Pass `show_plots=True` to see the p
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  341.333321
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  843.811163  842.004273
+    13   33554432.0  843.811163  843.811163
     14   67108864.0  849.278610  848.362445
     15  134217728.0  851.577704  850.656574
 
@@ -239,7 +239,7 @@ We can now run the decorated function above. Pass `show_plots=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  11.011 seconds)
+   **Total running time of the script:** ( 0 minutes  11.009 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
diff --git a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
index b43891c14..1897cccb5 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -261,17 +261,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   282.482752
+    0     256.0  512.000001      546.133347   273.066674
     1     384.0  585.142862      585.142862   267.130429
-    2     512.0  655.360017      606.814814   264.258068
-    3     640.0  682.666684      640.000002   269.473696
+    2     512.0  630.153853      585.142849   264.258068
+    3     640.0  682.666684      640.000002   265.974036
     4     768.0  702.171410      664.216187   273.066663
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   329.204728
-    94  12288.0  812.429770      415.222812   329.602681
+    93  12160.0  812.359066      405.755985   329.483481
+    94  12288.0  812.429770      415.661740   329.602681
     95  12416.0  810.840807      412.149375   328.900662
-    96  12544.0  810.925276      412.546756   329.292871
-    97  12672.0  811.007961      412.097543   329.410251
+    96  12544.0  809.290334      412.971190   329.022957
+    97  12672.0  811.007961      412.097543   329.142870
 
     [98 rows x 4 columns]
 
@@ -290,7 +290,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  8.194 seconds)
+   **Total running time of the script:** ( 1 minutes  8.799 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
diff --git a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
index 4fa684eee..cda06e115 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -371,37 +371,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    128.0   0.455111  ...   0.512000              0.512000
-    1    256.0   2.730667  ...   3.276800              2.978909
-    2    384.0   7.372800  ...   8.507077              7.899428
-    3    512.0  14.563555  ...  15.420235             15.420235
-    4    640.0  22.260869  ...  24.380953             24.380953
+    1    256.0   2.978909  ...   2.978909              2.978909
+    2    384.0   7.372800  ...   8.507077              8.507077
+    3    512.0  14.563555  ...  16.384000             15.420235
+    4    640.0  22.260869  ...  23.272727             23.272727
     5    768.0  32.768000  ...  34.028308             34.028308
-    6    896.0  37.971025  ...  39.025776             37.971025
+    6    896.0  39.025776  ...  39.025776             35.123201
     7   1024.0  49.932191  ...  52.428801             52.428801
-    8   1152.0  44.566925  ...  45.938215             45.938215
+    8   1152.0  45.242181  ...  46.656000             45.938215
     9   1280.0  51.200001  ...  56.109587             56.109587
-    10  1408.0  64.138541  ...  64.902096             64.902096
-    11  1536.0  80.430545  ...  75.296679             75.296679
+    10  1408.0  64.138541  ...  65.684049             65.684049
+    11  1536.0  80.430545  ...  76.106321             76.106321
     12  1664.0  63.372618  ...  61.636381             61.636381
-    13  1792.0  72.983276  ...  68.533074             68.533074
-    14  1920.0  66.782607  ...  66.782607             70.172588
-    15  2048.0  73.908442  ...  75.915006             75.573044
-    16  2176.0  81.803444  ...  79.855747             79.540109
-    17  2304.0  68.251065  ...  72.607513             72.387489
-    18  2432.0  71.125224  ...  79.813818             79.362895
-    19  2560.0  77.649287  ...  76.382283             76.204654
-    20  2688.0  82.823267  ...  82.642823             85.051697
-    21  2816.0  81.827785  ...  78.726003             78.726003
-    22  2944.0  81.698415  ...  80.251257             79.737653
-    23  3072.0  82.420822  ...  84.892208             83.886078
-    24  3200.0  84.099871  ...  89.012517             84.099871
-    25  3328.0  82.653612  ...  82.275764             82.181847
-    26  3456.0  80.300370  ...  82.183044             86.042231
-    27  3584.0  87.381330  ...  91.938029             84.586450
-    28  3712.0  84.301560  ...  82.902362             80.692524
-    29  3840.0  83.402717  ...  86.535214             87.011801
-    30  3968.0  92.864488  ...  85.510815             84.328915
-    31  4096.0  93.727466  ...  88.768339             84.894196
+    13  1792.0  72.983276  ...  68.953520             68.953520
+    14  1920.0  69.467336  ...  70.172588             68.776119
+    15  2048.0  73.908442  ...  75.573044             75.573044
+    16  2176.0  83.500614  ...  79.855747             79.226957
+    17  2304.0  68.251065  ...  72.607513             73.051599
+    18  2432.0  71.305746  ...  79.813818             78.917033
+    19  2560.0  77.833728  ...  76.382283             76.740048
+    20  2688.0  82.823267  ...  80.880718             82.642823
+    21  2816.0  83.873477  ...  77.882512             77.330158
+    22  2944.0  82.102191  ...  80.122235             79.610276
+    23  3072.0  78.643199  ...  81.707223             83.514905
+    24  3200.0  84.321474  ...  89.012517             85.219705
+    25  3328.0  83.226931  ...  86.320498             82.464255
+    26  3456.0  81.026701  ...  84.508982             86.689860
+    27  3584.0  87.211821  ...  91.750399             87.042978
+    28  3712.0  84.230479  ...  83.526206             82.902362
+    29  3840.0  80.197243  ...  82.102449             80.667046
+    30  3968.0  88.231331  ...  81.079024             83.807647
+    31  4096.0  93.596744  ...  90.504200             89.777746
 
     [32 rows x 5 columns]
 
@@ -411,7 +411,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  7.920 seconds)
+   **Total running time of the script:** ( 2 minutes  26.808 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index e5cecc335..e426eff0a 100644
--- a/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**03:27.125** total execution time for **getting-started_tutorials** files:
+**03:46.617** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:07.920 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:26.808 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:08.194 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:08.799 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.011 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.009 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index 53f5eb768..ddd97199f 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -311,19 +311,19 @@ for different problem sizes.</p>
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  341.333321
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  843.811163  842.004273
+13   33554432.0  843.811163  843.811163
 14   67108864.0  849.278610  848.362445
 15  134217728.0  851.577704  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  11.011 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  11.009 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p>
diff --git a/getting-started/tutorials/02-fused-softmax.html b/getting-started/tutorials/02-fused-softmax.html
index 8d5700037..77007a188 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -346,17 +346,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   282.482752
+0     256.0  512.000001      546.133347   273.066674
 1     384.0  585.142862      585.142862   267.130429
-2     512.0  655.360017      606.814814   264.258068
-3     640.0  682.666684      640.000002   269.473696
+2     512.0  630.153853      585.142849   264.258068
+3     640.0  682.666684      640.000002   265.974036
 4     768.0  702.171410      664.216187   273.066663
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   329.204728
-94  12288.0  812.429770      415.222812   329.602681
+93  12160.0  812.359066      405.755985   329.483481
+94  12288.0  812.429770      415.661740   329.602681
 95  12416.0  810.840807      412.149375   328.900662
-96  12544.0  810.925276      412.546756   329.292871
-97  12672.0  811.007961      412.097543   329.410251
+96  12544.0  809.290334      412.971190   329.022957
+97  12672.0  811.007961      412.097543   329.142870
 
 [98 rows x 4 columns]
 </pre></div>
@@ -370,7 +370,7 @@ This means that – when temporary data is too large to fit entirely in the GPU
 Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  8.194 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  8.799 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/getting-started/tutorials/03-matrix-multiplication.html b/getting-started/tutorials/03-matrix-multiplication.html
index 956f3553e..f98fc9a11 100644
--- a/getting-started/tutorials/03-matrix-multiplication.html
+++ b/getting-started/tutorials/03-matrix-multiplication.html
@@ -476,42 +476,42 @@ tensor(True, device=&#39;cuda:0&#39;)
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
 0    128.0   0.455111  ...   0.512000              0.512000
-1    256.0   2.730667  ...   3.276800              2.978909
-2    384.0   7.372800  ...   8.507077              7.899428
-3    512.0  14.563555  ...  15.420235             15.420235
-4    640.0  22.260869  ...  24.380953             24.380953
+1    256.0   2.978909  ...   2.978909              2.978909
+2    384.0   7.372800  ...   8.507077              8.507077
+3    512.0  14.563555  ...  16.384000             15.420235
+4    640.0  22.260869  ...  23.272727             23.272727
 5    768.0  32.768000  ...  34.028308             34.028308
-6    896.0  37.971025  ...  39.025776             37.971025
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 7   1024.0  49.932191  ...  52.428801             52.428801
-8   1152.0  44.566925  ...  45.938215             45.938215
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 9   1280.0  51.200001  ...  56.109587             56.109587
-10  1408.0  64.138541  ...  64.902096             64.902096
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 12  1664.0  63.372618  ...  61.636381             61.636381
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-14  1920.0  66.782607  ...  66.782607             70.172588
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-17  2304.0  68.251065  ...  72.607513             72.387489
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-20  2688.0  82.823267  ...  82.642823             85.051697
-21  2816.0  81.827785  ...  78.726003             78.726003
-22  2944.0  81.698415  ...  80.251257             79.737653
-23  3072.0  82.420822  ...  84.892208             83.886078
-24  3200.0  84.099871  ...  89.012517             84.099871
-25  3328.0  82.653612  ...  82.275764             82.181847
-26  3456.0  80.300370  ...  82.183044             86.042231
-27  3584.0  87.381330  ...  91.938029             84.586450
-28  3712.0  84.301560  ...  82.902362             80.692524
-29  3840.0  83.402717  ...  86.535214             87.011801
-30  3968.0  92.864488  ...  85.510815             84.328915
-31  4096.0  93.727466  ...  88.768339             84.894196
+13  1792.0  72.983276  ...  68.953520             68.953520
+14  1920.0  69.467336  ...  70.172588             68.776119
+15  2048.0  73.908442  ...  75.573044             75.573044
+16  2176.0  83.500614  ...  79.855747             79.226957
+17  2304.0  68.251065  ...  72.607513             73.051599
+18  2432.0  71.305746  ...  79.813818             78.917033
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