diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
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diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
index 12653bd46..54d94f1cd 100644
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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 771e29fe5..0ff142d75 100644
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index 2b09a4852..807e3b687 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 d0c65b554..89923ca31 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 70311d6bc..f34bec00c 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 2a243f553..1b4fbc899 100644
Binary files a/_images/sphx_glr_03-matrix-multiplication_001.png and b/_images/sphx_glr_03-matrix-multiplication_001.png differ
diff --git a/_images/sphx_glr_03-matrix-multiplication_thumb.png b/_images/sphx_glr_03-matrix-multiplication_thumb.png
index f4f0625f4..48a2b0c58 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 af46a42c0..13b2a51d6 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -237,7 +237,7 @@ We can now run the decorated function above. Pass `print_data=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  341.333321  341.333321
+    6      262144.0  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  11.022 seconds)
+   **Total running time of the script:** ( 0 minutes  11.027 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 d176c544f..9a6112d48 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -301,16 +301,16 @@ 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   186.181817
-    1     384.0  585.142862      585.142862   151.703707
+    1     384.0  585.142862      585.142862   153.600004
     2     512.0  630.153853      606.814814   154.566038
-    3     640.0  660.645170      640.000002   160.000000
+    3     640.0  682.666684      640.000002   160.000000
     4     768.0  702.171410      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   199.038365
-    94  12288.0  812.429770      415.661740   199.298541
-    95  12416.0  810.840807      411.722274   198.954424
-    96  12544.0  809.290334      412.971190   199.209928
-    97  12672.0  811.007961      412.097543   199.264875
+    93  12160.0  812.359066      406.179533   198.936606
+    94  12288.0  812.429770      415.661740   199.197579
+    95  12416.0  810.840807      412.149375   198.854847
+    96  12544.0  809.290334      412.546756   199.111113
+    97  12672.0  811.007961      412.097543   199.167004
 
     [98 rows x 4 columns]
 
@@ -329,7 +329,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  12.632 seconds)
+   **Total running time of the script:** ( 1 minutes  12.611 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 f85585fc1..8ae9b41a8 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -471,37 +471,37 @@ 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              8.507077
-    3    512.0  14.563555  ...  16.384000             16.384000
-    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              7.899428
+    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  39.025776  ...  40.140799             39.025776
+    6    896.0  39.025776  ...  39.025776             39.025776
     7   1024.0  49.932191  ...  53.773130             52.428801
     8   1152.0  44.566925  ...  46.656000             46.656000
     9   1280.0  51.200001  ...  56.888887             56.109587
-    10  1408.0  64.138541  ...  64.902096             57.997615
-    11  1536.0  78.643199  ...  76.106321             75.296679
-    12  1664.0  63.372618  ...  62.492442             62.061463
-    13  1792.0  72.983276  ...  70.246402             69.379162
-    14  1920.0  67.106797  ...  70.530615             70.530615
-    15  2048.0  73.908442  ...  74.898285             74.898285
-    16  2176.0  83.500614  ...  78.302130             80.173899
-    17  2304.0  68.446623  ...  73.501144             73.275679
-    18  2432.0  71.305746  ...  81.669953             81.197876
-    19  2560.0  77.833728  ...  76.740048             76.382283
-    20  2688.0  82.642823  ...  83.369354             80.027544
-    21  2816.0  79.879498  ...  77.330158             80.173175
-    22  2944.0  83.060049  ...  80.251257             78.235527
-    23  3072.0  81.943708  ...  84.512098             81.472093
-    24  3200.0  84.432717  ...  90.140846             84.099871
-    25  3328.0  83.034941  ...  87.794262             86.217120
-    26  3456.0  81.932484  ...  83.545665             85.767626
-    27  3584.0  87.211821  ...  92.220917             84.908450
-    28  3712.0  84.159518  ...  83.247783             82.082808
-    29  3840.0  80.197243  ...  81.439280             83.089406
-    30  3968.0  85.994800  ...  80.971427             82.226372
-    31  4096.0  93.596744  ...  89.597949             88.475759
+    10  1408.0  64.138541  ...  64.902096             64.902096
+    11  1536.0  80.430545  ...  76.933564             75.296679
+    12  1664.0  63.372618  ...  62.492442             62.492442
+    13  1792.0  72.983276  ...  70.246402             69.810085
+    14  1920.0  69.467336  ...  68.098521             70.172588
+    15  2048.0  73.584279  ...  74.898285             74.565406
+    16  2176.0  83.155572  ...  80.817862             79.855747
+    17  2304.0  68.446623  ...  73.501144             73.051599
+    18  2432.0  71.125224  ...  82.147552             81.669953
+    19  2560.0  77.649287  ...  77.283019             76.382283
+    20  2688.0  82.284288  ...  83.369354             83.922689
+    21  2816.0  81.369790  ...  78.021838             80.026067
+    22  2944.0  80.902653  ...  79.865439             78.112900
+    23  3072.0  82.062468  ...  84.010539             78.862262
+    24  3200.0  84.321474  ...  89.761569             89.887639
+    25  3328.0  80.707733  ...  84.795401             86.528001
+    26  3456.0  82.183044  ...  85.133652             80.945348
+    27  3584.0  87.381330  ...  94.847460             87.127323
+    28  3712.0  84.159518  ...  85.019017             86.341700
+    29  3840.0  82.840447  ...  88.615388             87.424508
+    30  3968.0  93.006050  ...  83.750126             83.179234
+    31  4096.0  93.662059  ...  83.313299             90.626421
 
     [32 rows x 5 columns]
 
@@ -511,7 +511,7 @@ 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  23.846 seconds)
+   **Total running time of the script:** ( 2 minutes  12.078 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 64e5e1fe5..f3ce19b3b 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
 =================
-**03:47.500** total execution time for **getting-started_tutorials** files:
+**03:35.716** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:23.846 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:12.078 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.632 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.611 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.022 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.027 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index eb6eda2e3..10b9ca807 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -325,7 +325,7 @@ 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  341.333321  341.333321
+6      262144.0  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -337,7 +337,7 @@ for different problem sizes.</p>
 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  11.022 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  11.027 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 8ff0861a9..8e18f56d0 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -386,16 +386,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <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   186.181817
-1     384.0  585.142862      585.142862   151.703707
+1     384.0  585.142862      585.142862   153.600004
 2     512.0  630.153853      606.814814   154.566038
-3     640.0  660.645170      640.000002   160.000000
+3     640.0  682.666684      640.000002   160.000000
 4     768.0  702.171410      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   199.038365
-94  12288.0  812.429770      415.661740   199.298541
-95  12416.0  810.840807      411.722274   198.954424
-96  12544.0  809.290334      412.971190   199.209928
-97  12672.0  811.007961      412.097543   199.264875
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+96  12544.0  809.290334      412.546756   199.111113
+97  12672.0  811.007961      412.097543   199.167004
 
 [98 rows x 4 columns]
 </pre></div>
@@ -409,7 +409,7 @@ 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  12.632 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  12.611 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 ddb1e4c5f..e52d8b3fe 100644
--- a/getting-started/tutorials/03-matrix-multiplication.html
+++ b/getting-started/tutorials/03-matrix-multiplication.html
@@ -575,42 +575,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <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              8.507077
-3    512.0  14.563555  ...  16.384000             16.384000
-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              7.899428
+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  39.025776  ...  40.140799             39.025776
+6    896.0  39.025776  ...  39.025776             39.025776
 7   1024.0  49.932191  ...  53.773130             52.428801
 8   1152.0  44.566925  ...  46.656000             46.656000
 9   1280.0  51.200001  ...  56.888887             56.109587
-10  1408.0  64.138541  ...  64.902096             57.997615
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-14  1920.0  67.106797  ...  70.530615             70.530615
-15  2048.0  73.908442  ...  74.898285             74.898285
-16  2176.0  83.500614  ...  78.302130             80.173899
-17  2304.0  68.446623  ...  73.501144             73.275679
-18  2432.0  71.305746  ...  81.669953             81.197876
-19  2560.0  77.833728  ...  76.740048             76.382283
-20  2688.0  82.642823  ...  83.369354             80.027544
-21  2816.0  79.879498  ...  77.330158             80.173175
-22  2944.0  83.060049  ...  80.251257             78.235527
-23  3072.0  81.943708  ...  84.512098             81.472093
-24  3200.0  84.432717  ...  90.140846             84.099871
-25  3328.0  83.034941  ...  87.794262             86.217120
-26  3456.0  81.932484  ...  83.545665             85.767626
-27  3584.0  87.211821  ...  92.220917             84.908450
-28  3712.0  84.159518  ...  83.247783             82.082808
-29  3840.0  80.197243  ...  81.439280             83.089406
-30  3968.0  85.994800  ...  80.971427             82.226372
-31  4096.0  93.596744  ...  89.597949             88.475759
+10  1408.0  64.138541  ...  64.902096             64.902096
+11  1536.0  80.430545  ...  76.933564             75.296679
+12  1664.0  63.372618  ...  62.492442             62.492442
+13  1792.0  72.983276  ...  70.246402             69.810085
+14  1920.0  69.467336  ...  68.098521             70.172588
+15  2048.0  73.584279  ...  74.898285             74.565406
+16  2176.0  83.155572  ...  80.817862             79.855747
+17  2304.0  68.446623  ...  73.501144             73.051599
+18  2432.0  71.125224  ...  82.147552             81.669953
+19  2560.0  77.649287  ...  77.283019             76.382283
+20  2688.0  82.284288  ...  83.369354             83.922689
+21  2816.0  81.369790  ...  78.021838             80.026067
+22  2944.0  80.902653  ...  79.865439             78.112900
+23  3072.0  82.062468  ...  84.010539             78.862262
+24  3200.0  84.321474  ...  89.761569             89.887639
+25  3328.0  80.707733  ...  84.795401             86.528001
+26  3456.0  82.183044  ...  85.133652             80.945348
+27  3584.0  87.381330  ...  94.847460             87.127323
+28  3712.0  84.159518  ...  85.019017             86.341700
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