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
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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 3a2262108..1f624a15c 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 2e56f7f8c..c375b921c 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 1bbe7fe7f..32d4199d3 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 45daf618b..80cb67cfc 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 6b5665706..3e89d4e44 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 e0c0578a4..deb0df9f4 100644
Binary files a/_images/sphx_glr_03-matrix-multiplication_thumb.png and b/_images/sphx_glr_03-matrix-multiplication_thumb.png differ
diff --git a/_sources/getting-started/tutorials/01-vector-add.rst.txt b/_sources/getting-started/tutorials/01-vector-add.rst.txt
index ee76a43cb..392643f83 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -231,7 +231,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
     vector-add-performance:
                size      Triton       Torch
-    0        4096.0    9.540372    9.600000
+    0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
     3       32768.0   76.800002   76.800002
@@ -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  10.995 seconds)
+   **Total running time of the script:** ( 0 minutes  10.996 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 bd7997e78..1e4681fc2 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -307,10 +307,10 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     4     768.0  702.171410      664.216187   163.839992
     ..      ...         ...             ...          ...
     93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  812.429770      415.661740   199.298541
-    95  12416.0  810.840807      412.149375   198.954424
-    96  12544.0  809.290334      412.971190   199.209928
-    97  12672.0  809.389265      412.097543   199.264875
+    94  12288.0  812.429770      416.101597   199.298541
+    95  12416.0  810.840807      412.577363   198.954424
+    96  12544.0  810.925276      412.971190   199.209928
+    97  12672.0  811.007961      412.097543   199.264875
 
     [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  12.644 seconds)
+   **Total running time of the script:** ( 1 minutes  12.639 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 b517faf14..4f95b423c 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   0.512000  ...   0.512000              0.512000
-    1    256.0   2.730667  ...   2.978909              2.978909
-    2    384.0   7.372800  ...   7.899428              7.899428
-    3    512.0  14.563555  ...  15.420235             15.420235
-    4    640.0  22.260869  ...  24.380953             23.272727
+    1    256.0   2.978909  ...   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
     5    768.0  32.768000  ...  34.028308             34.028308
-    6    896.0  39.025776  ...  39.025776             37.971025
-    7   1024.0  49.932191  ...  52.428801             52.428801
+    6    896.0  39.025776  ...  40.140799             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             58.016903
-    11  1536.0  79.526831  ...  76.106321             75.296679
-    12  1664.0  62.929456  ...  62.492442             62.492442
-    13  1792.0  72.983276  ...  69.810085             69.810085
-    14  1920.0  66.782607  ...  69.467336             69.120002
-    15  2048.0  73.262953  ...  74.898285             74.565406
-    16  2176.0  82.473969  ...  80.173899             77.398646
-    17  2304.0  68.446623  ...  73.501144             73.501144
-    18  2432.0  71.305746  ...  81.908060             81.908060
-    19  2560.0  77.649287  ...  76.740048             75.328737
-    20  2688.0  83.552988  ...  82.823267             81.928846
-    21  2816.0  84.035084  ...  78.021838             79.733474
-    22  2944.0  81.431424  ...  79.230573             77.990663
-    23  3072.0  82.420822  ...  83.146995             80.774758
-    24  3200.0  84.321474  ...  86.137280             90.140846
-    25  3328.0  83.226931  ...  81.438120             86.946008
-    26  3456.0  81.932484  ...  81.189898             85.133652
-    27  3584.0  88.238857  ...  87.979837             89.468054
-    28  3712.0  85.455380  ...  82.084920             86.044224
-    29  3840.0  83.591840  ...  84.809814             85.333335
-    30  3968.0  90.859224  ...  86.911637             86.296981
-    31  4096.0  92.309303  ...  90.504200             90.382307
+    9   1280.0  51.200001  ...  56.888887             56.888887
+    10  1408.0  64.138541  ...  64.902096             64.902096
+    11  1536.0  80.430545  ...  76.933564             76.106321
+    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             70.530615
+    15  2048.0  73.908442  ...  75.234154             68.200062
+    16  2176.0  83.155572  ...  78.916269             78.608000
+    17  2304.0  68.251065  ...  73.051599             73.501144
+    18  2432.0  71.305746  ...  82.630777             82.147552
+    19  2560.0  78.019048  ...  77.283019             77.101175
+    20  2688.0  80.880718  ...  84.861423             81.752274
+    21  2816.0  83.233226  ...  79.298560             76.921000
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+    23  3072.0  81.355034  ...  82.782312             82.181572
+    24  3200.0  83.009080  ...  84.880639             90.014065
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+    26  3456.0  81.683457  ...  84.954233             82.099354
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+    28  3712.0  80.692524  ...  84.159518             89.114488
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+    31  4096.0  93.727466  ...  88.709668             88.534120
 
     [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  17.805 seconds)
+   **Total running time of the script:** ( 2 minutes  18.530 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 5d0991d3b..b132877ec 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
 =================
-**03:41.443** total execution time for **getting-started_tutorials** files:
+**03:42.165** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:17.805 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:18.530 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.644 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.639 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:10.995 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:10.996 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index 0197a81e6..4dd72eb86 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -319,7 +319,7 @@ for different problem sizes.</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
-0        4096.0    9.540372    9.600000
+0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
 3       32768.0   76.800002   76.800002
@@ -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  10.995 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.996 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 9969d48f9..2d90d4cd3 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -392,10 +392,10 @@ We will then compare its performance against (1) <code class="code docutils lite
 4     768.0  702.171410      664.216187   163.839992
 ..      ...         ...             ...          ...
 93  12160.0  812.359066      406.179533   199.038365
-94  12288.0  812.429770      415.661740   199.298541
-95  12416.0  810.840807      412.149375   198.954424
-96  12544.0  809.290334      412.971190   199.209928
-97  12672.0  809.389265      412.097543   199.264875
+94  12288.0  812.429770      416.101597   199.298541
+95  12416.0  810.840807      412.577363   198.954424
+96  12544.0  810.925276      412.971190   199.209928
+97  12672.0  811.007961      412.097543   199.264875
 
 [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  12.644 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  12.639 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 ccbe1132d..1a56d8c84 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   0.512000  ...   0.512000              0.512000
-1    256.0   2.730667  ...   2.978909              2.978909
-2    384.0   7.372800  ...   7.899428              7.899428
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-27  3584.0  88.238857  ...  87.979837             89.468054
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+16  2176.0  83.155572  ...  78.916269             78.608000
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 [32 rows x 5 columns]
 </pre></div>
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  17.805 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  18.530 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.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">03-matrix-multiplication.py</span></code></a></p>
diff --git a/getting-started/tutorials/sg_execution_times.html b/getting-started/tutorials/sg_execution_times.html
index cfb450b93..6062b2d06 100644
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   <div class="section" id="computation-times">
 <span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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 <table class="docutils align-default">
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 <tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
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