diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
index 4017fedf9..9d4eae74c 100644
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diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
index 875850dce..018ff89a5 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 537a7126b..c4b64cbc3 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 4785bf526..9bec7f5bf 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 342506648..a5313219d 100644
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index 48661ffbd..140dc6520 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
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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 0a474e279..6c356c6a8 100644
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diff --git a/_images/sphx_glr_05-layer-norm_001.png b/_images/sphx_glr_05-layer-norm_001.png
index 40a15150b..468abf1ee 100644
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diff --git a/_images/sphx_glr_05-layer-norm_thumb.png b/_images/sphx_glr_05-layer-norm_thumb.png
index 5f5140903..15955326e 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 933d1eb9f..32418f935 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,10 +235,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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
+    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  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
@@ -255,7 +255,7 @@ 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:** ( 1 minutes  50.312 seconds)
+   **Total running time of the script:** ( 1 minutes  45.080 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 597010993..b65d53dc3 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ 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  546.133347      512.000001   190.511628
-    1     384.0  614.400016      558.545450   153.600004
-    2     512.0  655.360017      585.142849   154.566038
+    0     256.0  512.000001      546.133347   188.321838
+    1     384.0  614.400016      585.142862   153.600004
+    2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.530610
-    94  12288.0  814.111783      415.661740   198.694297
-    95  12416.0  814.163950      412.149375   198.457532
-    96  12544.0  814.214963      412.546756   198.716830
-    97  12672.0  814.265046      412.097543   198.679085
+    93  12160.0  814.058574      406.179533   199.038365
+    94  12288.0  814.955429      415.661740   199.298541
+    95  12416.0  814.163950      412.149375   198.854847
+    96  12544.0  814.214963      412.546756   199.111113
+    97  12672.0  814.265046      412.097543   199.264875
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.431 seconds)
+   **Total running time of the script:** ( 3 minutes  19.691 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 8bd7b6509..c432f59f9 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,36 +459,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
-    2    512.0  14.563555  ...  15.420235             16.384000
+    1    384.0   7.372800  ...   7.899428              7.899428
+    2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  39.025776             39.025776
+    5    896.0  39.025776  ...  39.025776             39.025776
     6   1024.0  49.932191  ...  52.428801             52.428801
-    7   1152.0  45.242181  ...  46.656000             46.656000
+    7   1152.0  44.566925  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.109587
-    9   1408.0  64.138541  ...  66.485074             65.684049
-    10  1536.0  79.526831  ...  79.526831             78.643199
+    9   1408.0  64.138541  ...  67.305878             66.485074
+    10  1536.0  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.061463             62.061463
     12  1792.0  72.983276  ...  72.047592             71.588687
     13  1920.0  68.776119  ...  70.172588             69.818184
-    14  2048.0  73.262953  ...  76.959706             76.608294
-    15  2176.0  83.500614  ...  85.998493             85.269692
-    16  2304.0  68.446623  ...  76.319081             75.834511
-    17  2432.0  71.125224  ...  82.509438             84.877538
-    18  2560.0  77.833728  ...  80.709358             81.108913
-    19  2688.0  83.369354  ...  89.676257             89.464755
-    20  2816.0  83.233226  ...  82.446516             81.827785
-    21  2944.0  82.373605  ...  82.373605             81.298583
-    22  3072.0  82.062468  ...  88.060814             88.473602
-    23  3200.0  82.368085  ...  89.761569             94.955488
-    24  3328.0  80.889094  ...  80.527177             82.939284
-    25  3456.0  81.849303  ...  86.783176             91.304157
-    26  3584.0  87.042978  ...  98.375705             90.364394
-    27  3712.0  79.726532  ...  90.815768             85.820159
-    28  3840.0  82.592983  ...  88.191387             91.398346
-    29  3968.0  85.873762  ...  90.656713             83.867052
-    30  4096.0  92.563952  ...  82.441739             82.291681
+    14  2048.0  73.262953  ...  76.608294             76.260072
+    15  2176.0  82.813365  ...  85.998493             85.269692
+    16  2304.0  68.251065  ...  76.319081             75.834511
+    17  2432.0  71.125224  ...  80.041209             84.621881
+    18  2560.0  77.649287  ...  80.709358             80.709358
+    19  2688.0  83.922689  ...  89.464755             89.464755
+    20  2816.0  81.218262  ...  82.916747             82.135981
+    21  2944.0  81.166173  ...  82.509987             82.921853
+    22  3072.0  81.589488  ...  88.473602             87.924073
+    23  3200.0  84.768213  ...  95.380032             95.238096
+    24  3328.0  83.130825  ...  84.200347             83.516586
+    25  3456.0  81.683457  ...  91.511426             90.994998
+    26  3584.0  84.033077  ...  89.379119             94.448944
+    27  3712.0  85.675250  ...  82.423549             85.019017
+    28  3840.0  80.081098  ...  87.286505             91.022218
+    29  3968.0  86.911637  ...  88.873953             84.915752
+    30  4096.0  91.118618  ...  82.391920             84.599893
 
     [31 rows x 5 columns]
 
@@ -498,7 +498,7 @@ 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:** ( 6 minutes  5.923 seconds)
+   **Total running time of the script:** ( 5 minutes  29.708 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 1ab30fb65..f0aa2598c 100644
--- a/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -240,7 +240,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.477 seconds)
+   **Total running time of the script:** ( 0 minutes  0.011 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index b99c822c8..7e65967e9 100644
--- a/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch
-    0    1024.0  311.088617   99.497980
-    1    1536.0  347.773587  133.565214
-    2    2048.0  420.102553  162.217818
-    3    2560.0  455.111129  182.857144
-    4    3072.0  511.999982  191.501303
+    0    1024.0  307.200008   98.303995
+    1    1536.0  347.773587  134.540150
+    2    2048.0  420.102553  161.154101
+    3    2560.0  455.111129  181.238943
+    4    3072.0  511.999982  192.501302
     5    3584.0  551.384634  208.271186
-    6    4096.0  568.231237  220.907859
-    7    4608.0  502.690905  232.336141
-    8    5120.0  527.381977  243.326731
-    9    5632.0  540.671974  243.545956
-    10   6144.0  544.118087  249.081070
-    11   6656.0  528.953642  256.410903
-    12   7168.0  507.469040  262.243907
-    13   7680.0  481.253256  261.076480
-    14   8192.0  461.521112  269.326017
-    15   8704.0  417.791980  268.159180
-    16   9216.0  431.157889  273.404206
-    17   9728.0  442.181815  280.953074
-    18  10240.0  448.467168  286.767793
-    19  10752.0  427.231788  246.699797
-    20  11264.0  427.071098  245.313973
-    21  11776.0  420.571432  249.447482
-    22  12288.0  420.102570  254.673582
-    23  12800.0  414.016170  253.674644
-    24  13312.0  410.652963  252.759501
-    25  13824.0  403.620451  257.390218
-    26  14336.0  396.387109  254.862216
-    27  14848.0  382.351933  257.293872
-    28  15360.0  374.253788  257.790220
-    29  15872.0  368.046389  262.890274
+    6    4096.0  564.965515  220.412561
+    7    4608.0  504.986315  233.316456
+    8    5120.0  527.381977  242.366855
+    9    5632.0  542.843364  243.545956
+    10   6144.0  546.133354  248.661056
+    11   6656.0  532.479975  256.410903
+    12   7168.0  507.469040  260.260201
+    13   7680.0  482.513091  262.938666
+    14   8192.0  463.698115  265.327937
+    15   8704.0  416.958106  267.815384
+    16   9216.0  431.157889  271.391419
+    17   9728.0  438.857162  280.615388
+    18  10240.0  448.467168  286.433562
+    19  10752.0  428.651173  246.699797
+    20  11264.0  427.071098  245.760001
+    21  11776.0  423.089806  249.667843
+    22  12288.0  419.504980  254.673582
+    23  12800.0  413.458944  253.674644
+    24  13312.0  411.711355  252.161013
+    25  13824.0  405.594132  257.190689
+    26  14336.0  394.568805  254.485198
+    27  14848.0  386.080180  257.479779
+    28  15360.0  374.634130  257.970599
+    29  15872.0  368.402336  262.166551
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  23.770 seconds)
+   **Total running time of the script:** ( 1 minutes  22.248 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 69753601d..4326b46a4 100644
--- a/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**12:42.913** total execution time for **getting-started_tutorials** files:
+**11:56.738** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:05.923 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:29.708 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.431 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:19.691 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:50.312 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.080 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 01:23.770 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 01:22.248 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.477 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index d5d556357..39afe23c8 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -325,10 +325,10 @@ for different problem sizes.</p>
 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
+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  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
@@ -340,7 +340,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  50.312 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.080 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 477e63f0b..4431ff5a0 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -369,17 +369,17 @@ 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  546.133347      512.000001   190.511628
-1     384.0  614.400016      558.545450   153.600004
-2     512.0  655.360017      585.142849   154.566038
+0     256.0  512.000001      546.133347   188.321838
+1     384.0  614.400016      585.142862   153.600004
+2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.530610
-94  12288.0  814.111783      415.661740   198.694297
-95  12416.0  814.163950      412.149375   198.457532
-96  12544.0  814.214963      412.546756   198.716830
-97  12672.0  814.265046      412.097543   198.679085
+93  12160.0  814.058574      406.179533   199.038365
+94  12288.0  814.955429      415.661740   199.298541
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