diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
index 76183b7b1..dfe55fc07 100644
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diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
index 45a964c38..c4a65bd48 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 c94e68e7c..4f18d04bf 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 b71ff36eb..581d9b6ca 100644
Binary files a/_images/sphx_glr_01-vector-add_thumb.png and b/_images/sphx_glr_01-vector-add_thumb.png differ
diff --git a/_images/sphx_glr_02-fused-softmax_001.png b/_images/sphx_glr_02-fused-softmax_001.png
index c2b09d150..9c07b74fc 100644
Binary files a/_images/sphx_glr_02-fused-softmax_001.png and b/_images/sphx_glr_02-fused-softmax_001.png differ
diff --git a/_images/sphx_glr_02-fused-softmax_thumb.png b/_images/sphx_glr_02-fused-softmax_thumb.png
index b3f964659..117c91c84 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 33c1084ae..405d80a6e 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 08fbc4abe..33cada90a 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 5c12083b4..4d8a8cee2 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -216,13 +216,13 @@ 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    8.000000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   76.800002
+    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  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -230,7 +230,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
     13   33554432.0  843.811163  843.811163
-    14   67108864.0  849.278610  848.362445
+    14   67108864.0  848.362445  848.362445
     15  134217728.0  851.577704  850.656574
 
 
@@ -239,7 +239,7 @@ 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  10.980 seconds)
+   **Total running time of the script:** ( 0 minutes  10.964 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 282f3bb9a..9a5a97045 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -261,15 +261,15 @@ 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   264.258068
-    1     384.0  585.142862      558.545450   261.446801
-    2     512.0  630.153853      606.814814   264.258068
+    0     256.0  512.000001      546.133347   273.066674
+    1     384.0  585.142862      585.142862   261.446801
+    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      406.179533   329.483481
+    93  12160.0  812.359066      405.755985   329.204728
     94  12288.0  812.429770      415.661740   329.602681
-    95  12416.0  810.840807      412.149375   328.900662
+    95  12416.0  810.840807      411.722274   329.173158
     96  12544.0  810.925276      412.971190   329.292871
     97  12672.0  811.007961      412.097543   329.142870
 
@@ -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  8.191 seconds)
+   **Total running time of the script:** ( 1 minutes  8.185 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 07a770c40..add450bf8 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
+    1    256.0   2.730667  ...   3.276800              3.276800
     2    384.0   7.372800  ...   8.507077              8.507077
-    3    512.0  14.563555  ...  15.420235             15.420235
+    3    512.0  14.563555  ...  16.384000             15.420235
     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
+    6    896.0  37.971025  ...  39.025776             39.025776
     7   1024.0  49.932191  ...  52.428801             52.428801
-    8   1152.0  45.242181  ...  46.656000             46.656000
+    8   1152.0  44.566925  ...  46.656000             45.938215
     9   1280.0  51.200001  ...  56.109587             56.109587
-    10  1408.0  64.138541  ...  65.684049             65.684049
-    11  1536.0  80.430545  ...  76.106321             75.296679
-    12  1664.0  63.372618  ...  61.636381             61.636381
+    10  1408.0  64.138541  ...  65.684049             58.601554
+    11  1536.0  78.643199  ...  75.296679             75.296679
+    12  1664.0  62.929456  ...  61.636381             61.636381
     13  1792.0  72.983276  ...  68.953520             68.533074
-    14  1920.0  69.467336  ...  69.120002             69.467336
-    15  2048.0  73.908442  ...  75.234154             75.573044
-    16  2176.0  83.500614  ...  79.855747             80.494588
-    17  2304.0  68.446623  ...  72.607513             72.387489
-    18  2432.0  71.125224  ...  81.197876             80.041209
-    19  2560.0  77.833728  ...  74.983980             75.328737
-    20  2688.0  80.880718  ...  78.862903             82.642823
-    21  2816.0  83.392363  ...  78.726003             77.056904
-    22  2944.0  83.060049  ...  79.356738             79.610276
-    23  3072.0  78.643199  ...  82.540970             83.269271
-    24  3200.0  83.116885  ...  88.888888             87.431696
-    25  3328.0  82.939284  ...  86.528001             82.181847
-    26  3456.0  79.351933  ...  84.156124             82.266905
-    27  3584.0  87.466332  ...  95.960933             96.166193
-    28  3712.0  80.629426  ...  88.404730             88.326564
-    29  3840.0  81.919998  ...  80.428721             81.198237
-    30  3968.0  86.116179  ...  85.331427             85.391135
-    31  4096.0  92.309303  ...  88.651075             88.243079
+    14  1920.0  69.120002  ...  69.120002             69.467336
+    15  2048.0  73.584279  ...  75.573044             75.234154
+    16  2176.0  83.155572  ...  79.855747             79.855747
+    17  2304.0  68.251065  ...  72.607513             72.828879
+    18  2432.0  71.305746  ...  80.963875             80.963875
+    19  2560.0  77.649287  ...  76.740048             75.155963
+    20  2688.0  83.552988  ...  81.053536             83.552988
+    21  2816.0  79.154642  ...  78.726003             78.161663
+    22  2944.0  81.967162  ...  78.605729             79.737653
+    23  3072.0  79.415291  ...  81.825298             83.391907
+    24  3200.0  84.210524  ...  89.385477             85.333333
+    25  3328.0  83.905938  ...  81.346098             81.808290
+    26  3456.0  81.108217  ...  81.026701             85.133652
+    27  3584.0  87.381330  ...  91.750399             85.064084
+    28  3712.0  84.159518  ...  85.309435             88.326564
+    29  3840.0  84.550462  ...  87.217666             87.493673
+    30  3968.0  92.442373  ...  84.680037             83.692683
+    31  4096.0  93.662059  ...  91.867031             91.616198
 
     [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  8.651 seconds)
+   **Total running time of the script:** ( 2 minutes  12.186 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 3f9b14237..f43372331 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
 =================
-**03:27.823** total execution time for **getting-started_tutorials** files:
+**03:31.335** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:08.651 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:12.186 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:08.191 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:08.185 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:10.980 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:10.964 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index b3a7a64a9..454357fca 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -305,13 +305,13 @@ 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    8.000000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   76.800002
+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  384.000001  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -319,11 +319,11 @@ for different problem sizes.</p>
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
 13   33554432.0  843.811163  843.811163
-14   67108864.0  849.278610  848.362445
+14   67108864.0  848.362445  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  10.980 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.964 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 8899b5588..47772be1f 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -346,15 +346,15 @@ 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   264.258068
-1     384.0  585.142862      558.545450   261.446801
-2     512.0  630.153853      606.814814   264.258068
+0     256.0  512.000001      546.133347   273.066674
+1     384.0  585.142862      585.142862   261.446801
+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      406.179533   329.483481
+93  12160.0  812.359066      405.755985   329.204728
 94  12288.0  812.429770      415.661740   329.602681
-95  12416.0  810.840807      412.149375   328.900662
+95  12416.0  810.840807      411.722274   329.173158
 96  12544.0  810.925276      412.971190   329.292871
 97  12672.0  811.007961      412.097543   329.142870
 
@@ -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  8.191 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  8.185 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 752ca9eac..1fdca6fd0 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
+1    256.0   2.730667  ...   3.276800              3.276800
 2    384.0   7.372800  ...   8.507077              8.507077
-3    512.0  14.563555  ...  15.420235             15.420235
+3    512.0  14.563555  ...  16.384000             15.420235
 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
+6    896.0  37.971025  ...  39.025776             39.025776
 7   1024.0  49.932191  ...  52.428801             52.428801
-8   1152.0  45.242181  ...  46.656000             46.656000
+8   1152.0  44.566925  ...  46.656000             45.938215
 9   1280.0  51.200001  ...  56.109587             56.109587
-10  1408.0  64.138541  ...  65.684049             65.684049
-11  1536.0  80.430545  ...  76.106321             75.296679
-12  1664.0  63.372618  ...  61.636381             61.636381
+10  1408.0  64.138541  ...  65.684049             58.601554
+11  1536.0  78.643199  ...  75.296679             75.296679
+12  1664.0  62.929456  ...  61.636381             61.636381
 13  1792.0  72.983276  ...  68.953520             68.533074
-14  1920.0  69.467336  ...  69.120002             69.467336
-15  2048.0  73.908442  ...  75.234154             75.573044
-16  2176.0  83.500614  ...  79.855747             80.494588
-17  2304.0  68.446623  ...  72.607513             72.387489
-18  2432.0  71.125224  ...  81.197876             80.041209
-19  2560.0  77.833728  ...  74.983980             75.328737
-20  2688.0  80.880718  ...  78.862903             82.642823
-21  2816.0  83.392363  ...  78.726003             77.056904
-22  2944.0  83.060049  ...  79.356738             79.610276
-23  3072.0  78.643199  ...  82.540970             83.269271
-24  3200.0  83.116885  ...  88.888888             87.431696
-25  3328.0  82.939284  ...  86.528001             82.181847
-26  3456.0  79.351933  ...  84.156124             82.266905
-27  3584.0  87.466332  ...  95.960933             96.166193
-28  3712.0  80.629426  ...  88.404730             88.326564
-29  3840.0  81.919998  ...  80.428721             81.198237
-30  3968.0  86.116179  ...  85.331427             85.391135
-31  4096.0  92.309303  ...  88.651075             88.243079
+14  1920.0  69.120002  ...  69.120002             69.467336
+15  2048.0  73.584279  ...  75.573044             75.234154
+16  2176.0  83.155572  ...  79.855747             79.855747
+17  2304.0  68.251065  ...  72.607513             72.828879
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