diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
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Binary files a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip and b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip differ
diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
index d29225c8f..79f84e7f6 100644
Binary files a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip and b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip differ
diff --git a/_images/sphx_glr_01-vector-add_001.png b/_images/sphx_glr_01-vector-add_001.png
index fb88dfc21..a23b004e0 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 c9fb5db49..0b63763c9 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 bc8c6024c..93ddee2d3 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 385a7aba5..c76e7560a 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 d71a197f9..84979b1b0 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 4116a6a8e..8acc66163 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 39abc38fc..aad574e3d 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -232,12 +232,12 @@ 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    9.600000    9.600000
-    1        8192.0   19.200000   15.999999
+    1        8192.0   15.999999   19.200000
     2       16384.0   38.400001   38.400001
     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
@@ -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  11.086 seconds)
+   **Total running time of the script:** ( 0 minutes  11.024 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 3725f5459..8b99f7293 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   153.600004
-    2     512.0  630.153853      606.814814   154.566038
+    1     384.0  585.142862      558.545450   151.703707
+    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      405.755985   199.140227
-    94  12288.0  812.429770      415.661740   199.399583
-    95  12416.0  810.840807      411.722274   199.054102
-    96  12544.0  810.925276      412.546756   199.308841
-    97  12672.0  811.007961      412.097543   199.362843
+    93  12160.0  812.359066      406.179533   199.038365
+    94  12288.0  812.429770      415.222812   199.399583
+    95  12416.0  810.840807      412.149375   198.854847
+    96  12544.0  809.290334      412.971190   199.209928
+    97  12672.0  809.389265      412.097543   199.362843
 
     [98 rows x 4 columns]
 
@@ -328,7 +328,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  12.683 seconds)
+   **Total running time of the script:** ( 1 minutes  12.613 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 d264afbd6..a1570acc4 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -463,37 +463,37 @@ 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
+    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  ...  24.380953             24.380953
     5    768.0  32.768000  ...  34.028308             34.028308
-    6    896.0  39.025776  ...  40.140799             39.025776
+    6    896.0  37.971025  ...  40.140799             39.025776
     7   1024.0  49.932191  ...  52.428801             52.428801
     8   1152.0  44.566925  ...  46.656000             46.656000
-    9   1280.0  51.200001  ...  56.109587             56.109587
-    10  1408.0  64.138541  ...  64.902096             64.138541
-    11  1536.0  79.526831  ...  76.106321             75.296679
+    9   1280.0  51.200001  ...  56.888887             56.109587
+    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  66.782607  ...  68.435645             69.467336
-    15  2048.0  73.262953  ...  75.234154             68.191406
-    16  2176.0  82.813365  ...  81.143743             77.398646
-    17  2304.0  68.056616  ...  73.501144             73.051599
-    18  2432.0  71.125224  ...  80.731218             80.499895
-    19  2560.0  77.649287  ...  77.283019             76.382283
-    20  2688.0  81.752274  ...  82.642823             81.752274
-    21  2816.0  83.873477  ...  79.298560             79.154642
-    22  2944.0  81.431424  ...  79.993627             76.907458
-    23  3072.0  81.825298  ...  83.514905             82.782312
-    24  3200.0  80.604535  ...  85.106381             89.510493
-    25  3328.0  83.905938  ...  82.558825             81.622783
-    26  3456.0  81.849303  ...  84.244062             84.244062
-    27  3584.0  87.211821  ...  90.458141             92.887804
-    28  3712.0  85.601834  ...  88.955779             88.797643
-    29  3840.0  84.874902  ...  83.214447             85.136259
-    30  3968.0  88.938731  ...  88.487262             87.723894
-    31  4096.0  93.727466  ...  88.709668             88.475759
+    14  1920.0  69.467336  ...  70.892307             70.530615
+    15  2048.0  73.908442  ...  75.234154             74.898285
+    16  2176.0  83.500614  ...  80.817862             80.173899
+    17  2304.0  68.446623  ...  73.501144             73.051599
+    18  2432.0  71.125224  ...  80.499895             79.587714
+    19  2560.0  77.833728  ...  77.283019             76.740048
+    20  2688.0  84.108772  ...  83.552988             84.108772
+    21  2816.0  81.674548  ...  77.882512             79.733474
+    22  2944.0  81.832567  ...  78.235527             77.990663
+    23  3072.0  81.121923  ...  83.761985             80.544956
+    24  3200.0  84.768213  ...  89.635851             89.635851
+    25  3328.0  79.812967  ...  84.200347             87.580655
+    26  3456.0  81.189898  ...  84.420490             85.404201
+    27  3584.0  86.707226  ...  95.047985             90.549237
+    28  3712.0  84.159518  ...  84.301560             82.423549
+    29  3840.0  83.655065  ...  87.562949             87.493673
+    30  3968.0  93.076994  ...  88.040360             87.913500
+    31  4096.0  93.596744  ...  86.816123             83.571059
 
     [32 rows x 5 columns]
 
@@ -503,7 +503,7 @@ 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  9.474 seconds)
+   **Total running time of the script:** ( 2 minutes  2.006 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 9f9f76feb..9426fe390 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
 =================
-**03:33.244** total execution time for **getting-started_tutorials** files:
+**03:25.643** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:09.474 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:02.006 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.683 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 01:12.613 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.086 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 00:11.024 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index fd3f29266..d85ee463c 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -320,12 +320,12 @@ for different problem sizes.</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    9.600000    9.600000
-1        8192.0   19.200000   15.999999
+1        8192.0   15.999999   19.200000
 2       16384.0   38.400001   38.400001
 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
@@ -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  11.086 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  11.024 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 d13b9304e..791a502e3 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   153.600004
-2     512.0  630.153853      606.814814   154.566038
+1     384.0  585.142862      558.545450   151.703707
+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      405.755985   199.140227
-94  12288.0  812.429770      415.661740   199.399583
-95  12416.0  810.840807      411.722274   199.054102
-96  12544.0  810.925276      412.546756   199.308841
-97  12672.0  811.007961      412.097543   199.362843
+93  12160.0  812.359066      406.179533   199.038365
+94  12288.0  812.429770      415.222812   199.399583
+95  12416.0  810.840807      412.149375   198.854847
+96  12544.0  809.290334      412.971190   199.209928
+97  12672.0  809.389265      412.097543   199.362843
 
 [98 rows x 4 columns]
 </pre></div>
@@ -408,7 +408,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  12.683 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  12.613 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 5aa67354a..ba739ef6b 100644
--- a/getting-started/tutorials/03-matrix-multiplication.html
+++ b/getting-started/tutorials/03-matrix-multiplication.html
@@ -567,42 +567,42 @@ 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              7.899428
-3    512.0  14.563555  ...  15.420235             15.420235
+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  ...  24.380953             24.380953
 5    768.0  32.768000  ...  34.028308             34.028308
-6    896.0  39.025776  ...  40.140799             39.025776
+6    896.0  37.971025  ...  40.140799             39.025776
 7   1024.0  49.932191  ...  52.428801             52.428801
 8   1152.0  44.566925  ...  46.656000             46.656000
-9   1280.0  51.200001  ...  56.109587             56.109587
-10  1408.0  64.138541  ...  64.902096             64.138541
-11  1536.0  79.526831  ...  76.106321             75.296679
+9   1280.0  51.200001  ...  56.888887             56.109587
+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  66.782607  ...  68.435645             69.467336
-15  2048.0  73.262953  ...  75.234154             68.191406
-16  2176.0  82.813365  ...  81.143743             77.398646
-17  2304.0  68.056616  ...  73.501144             73.051599
-18  2432.0  71.125224  ...  80.731218             80.499895
-19  2560.0  77.649287  ...  77.283019             76.382283
-20  2688.0  81.752274  ...  82.642823             81.752274
-21  2816.0  83.873477  ...  79.298560             79.154642
-22  2944.0  81.431424  ...  79.993627             76.907458
-23  3072.0  81.825298  ...  83.514905             82.782312
-24  3200.0  80.604535  ...  85.106381             89.510493
-25  3328.0  83.905938  ...  82.558825             81.622783
-26  3456.0  81.849303  ...  84.244062             84.244062
-27  3584.0  87.211821  ...  90.458141             92.887804
-28  3712.0  85.601834  ...  88.955779             88.797643
-29  3840.0  84.874902  ...  83.214447             85.136259
-30  3968.0  88.938731  ...  88.487262             87.723894
-31  4096.0  93.727466  ...  88.709668             88.475759
+14  1920.0  69.467336  ...  70.892307             70.530615
+15  2048.0  73.908442  ...  75.234154             74.898285
+16  2176.0  83.500614  ...  80.817862             80.173899
+17  2304.0  68.446623  ...  73.501144             73.051599
+18  2432.0  71.125224  ...  80.499895             79.587714
+19  2560.0  77.833728  ...  77.283019             76.740048
+20  2688.0  84.108772  ...  83.552988             84.108772
+21  2816.0  81.674548  ...  77.882512             79.733474
+22  2944.0  81.832567  ...  78.235527             77.990663
+23  3072.0  81.121923  ...  83.761985             80.544956
+24  3200.0  84.768213  ...  89.635851             89.635851
+25  3328.0  79.812967  ...  84.200347             87.580655
+26  3456.0  81.189898  ...  84.420490             85.404201
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