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
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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 246a7e3a1..be60681d4 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 05781365e..4031e727a 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 fa527d708..a5c64becf 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 f40365756..4259085b7 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 048f18080..7b6346c40 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 98044312f..4830bd24a 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -233,8 +233,8 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   31.999999   31.999999
-    3       32768.0   63.999998   76.800002
+    2       16384.0   38.400001   38.400001
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  384.000001
@@ -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  11.055 seconds)
+   **Total running time of the script:** ( 0 minutes  10.981 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 0d5ca288a..eae1105f1 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -302,15 +302,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
               N      Triton  Torch (native)  Torch (jit)
     0     256.0  512.000001      546.133347   186.181817
     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
+    2     512.0  630.153853      585.142849   154.566038
+    3     640.0  682.666684      640.000002   160.000000
     4     768.0  702.171410      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  812.429770      415.222812   199.298541
+    93  12160.0  812.359066      405.755985   198.936606
+    94  12288.0  812.429770      415.661740   199.197579
     95  12416.0  810.840807      412.149375   198.854847
-    96  12544.0  810.925276      412.971190   199.209928
-    97  12672.0  809.389265      412.097543   199.167004
+    96  12544.0  810.925276      412.971190   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  13.186 seconds)
+   **Total running time of the script:** ( 1 minutes  12.654 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 bdfd22d37..85e2066a1 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -483,37 +483,37 @@ 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   2.978909  ...   2.978909              2.978909
-    2    384.0   7.372800  ...   8.507077              7.899428
+    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             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             35.123201
+    6    896.0  39.025776  ...  40.140799             35.123201
     7   1024.0  49.932191  ...  52.428801             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             64.902096
-    11  1536.0  78.643199  ...  76.106321             76.106321
-    12  1664.0  62.929456  ...  62.061463             62.061463
+    8   1152.0  44.566925  ...  46.656000             45.938215
+    9   1280.0  51.200001  ...  56.109587             56.109587
+    10  1408.0  64.138541  ...  64.902096             64.138541
+    11  1536.0  80.430545  ...  76.106321             75.296679
+    12  1664.0  63.372618  ...  62.492442             62.061463
     13  1792.0  72.983276  ...  69.810085             69.379162
-    14  1920.0  67.764707  ...  70.530615             70.530615
-    15  2048.0  73.908442  ...  75.234154             74.898285
-    16  2176.0  83.500614  ...  81.143743             81.143743
-    17  2304.0  68.446623  ...  73.501144             73.501144
-    18  2432.0  71.305746  ...  82.147552             82.147552
-    19  2560.0  77.833728  ...  77.283019             77.101175
-    20  2688.0  81.053536  ...  81.928846             83.922689
-    21  2816.0  81.981598  ...  79.443003             80.320825
-    22  2944.0  82.373605  ...  77.385141             78.112900
-    23  3072.0  81.472093  ...  83.761985             79.638683
-    24  3200.0  84.768213  ...  88.888888             85.561498
-    25  3328.0  83.905938  ...  87.794262             87.156532
-    26  3456.0  80.220468  ...  85.676480             84.068369
-    27  3584.0  86.707226  ...  95.553020             94.847460
-    28  3712.0  83.247783  ...  84.303780             85.309435
-    29  3840.0  80.255442  ...  83.339866             85.005380
-    30  3968.0  88.938731  ...  87.409694             87.159957
-    31  4096.0  91.616198  ...  89.597949             89.538177
+    14  1920.0  68.435645  ...  67.764707             69.818184
+    15  2048.0  73.584279  ...  75.234154             74.898285
+    16  2176.0  83.500614  ...  81.143743             78.916269
+    17  2304.0  68.056616  ...  73.501144             73.051599
+    18  2432.0  71.125224  ...  80.269900             80.963875
+    19  2560.0  77.833728  ...  76.920185             76.382283
+    20  2688.0  80.027544  ...  79.524227             82.284288
+    21  2816.0  83.392363  ...  79.587973             76.785575
+    22  2944.0  82.509987  ...  79.230573             79.993627
+    23  3072.0  81.589488  ...  83.761985             82.301023
+    24  3200.0  84.768213  ...  89.385477             89.012517
+    25  3328.0  80.617354  ...  80.707733             86.217120
+    26  3456.0  81.518272  ...  85.223646             82.183044
+    27  3584.0  84.033077  ...  93.564405             95.047985
+    28  3712.0  86.267139  ...  88.015279             89.194055
+    29  3840.0  84.874902  ...  88.402879             87.217666
+    30  3968.0  92.442373  ...  87.850207             87.347124
+    31  4096.0  93.531519  ...  85.926841             85.871865
 
     [32 rows x 5 columns]
 
@@ -523,7 +523,7 @@ 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  30.425 seconds)
+   **Total running time of the script:** ( 2 minutes  30.126 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 b82eb7866..08dc65437 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
 =================
-**03:54.665** total execution time for **getting-started_tutorials** files:
+**03:53.760** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:30.425 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:30.126 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:13.186 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.654 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.055 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:10.981 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index 43508e399..97b2db7e3 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -321,8 +321,8 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   31.999999   31.999999
-3       32768.0   63.999998   76.800002
+2       16384.0   38.400001   38.400001
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  384.000001
@@ -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  11.055 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.981 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 63b79cf50..f3528c369 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -387,15 +387,15 @@ We will then compare its performance against (1) <code class="code docutils lite
           N      Triton  Torch (native)  Torch (jit)
 0     256.0  512.000001      546.133347   186.181817
 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
+2     512.0  630.153853      585.142849   154.566038
+3     640.0  682.666684      640.000002   160.000000
 4     768.0  702.171410      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   199.038365
-94  12288.0  812.429770      415.222812   199.298541
+93  12160.0  812.359066      405.755985   198.936606
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+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  13.186 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  12.654 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 85e352c1a..6c92297e4 100644
--- a/getting-started/tutorials/03-matrix-multiplication.html
+++ b/getting-started/tutorials/03-matrix-multiplication.html
@@ -581,42 +581,42 @@ 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   2.978909  ...   2.978909              2.978909
-2    384.0   7.372800  ...   8.507077              7.899428
+1    256.0   2.730667  ...   3.276800              2.978909
+2    384.0   7.372800  ...   8.507077              8.507077
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-6    896.0  39.025776  ...  39.025776             35.123201
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-20  2688.0  81.053536  ...  81.928846             83.922689
-21  2816.0  81.981598  ...  79.443003             80.320825
-22  2944.0  82.373605  ...  77.385141             78.112900
-23  3072.0  81.472093  ...  83.761985             79.638683
-24  3200.0  84.768213  ...  88.888888             85.561498
-25  3328.0  83.905938  ...  87.794262             87.156532
-26  3456.0  80.220468  ...  85.676480             84.068369
-27  3584.0  86.707226  ...  95.553020             94.847460
-28  3712.0  83.247783  ...  84.303780             85.309435
-29  3840.0  80.255442  ...  83.339866             85.005380
-30  3968.0  88.938731  ...  87.409694             87.159957
-31  4096.0  91.616198  ...  89.597949             89.538177
+14  1920.0  68.435645  ...  67.764707             69.818184
+15  2048.0  73.584279  ...  75.234154             74.898285
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+17  2304.0  68.056616  ...  73.501144             73.051599
+18  2432.0  71.125224  ...  80.269900             80.963875
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+21  2816.0  83.392363  ...  79.587973             76.785575
+22  2944.0  82.509987  ...  79.230573             79.993627
+23  3072.0  81.589488  ...  83.761985             82.301023
+24  3200.0  84.768213  ...  89.385477             89.012517
+25  3328.0  80.617354  ...  80.707733             86.217120
+26  3456.0  81.518272  ...  85.223646             82.183044
+27  3584.0  84.033077  ...  93.564405             95.047985
+28  3712.0  86.267139  ...  88.015279             89.194055
+29  3840.0  84.874902  ...  88.402879             87.217666
+30  3968.0  92.442373  ...  87.850207             87.347124
+31  4096.0  93.531519  ...  85.926841             85.871865
 
 [32 rows x 5 columns]
 </pre></div>
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