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
index a293b07fc..c0dccebcb 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 ad8da0281..d103ad29b 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 21a64af56..d2558f2c4 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 6311202f3..4adad176a 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 898596585..95427a2a6 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 a432e6343..bb8bcb7dc 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 47857c0f0..78282fd2c 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 652e97b7d..46c7371a3 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,10 +234,10 @@ 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   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    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:** ( 1 minutes  56.916 seconds)
+   **Total running time of the script:** ( 1 minutes  44.504 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 7aa701729..73cc4b463 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ 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  512.000001      546.133347   186.181817
-    1     384.0  585.142862      585.142862   153.600004
+    0     256.0  512.000001      546.133347   184.089886
+    1     384.0  585.142862      558.545450   151.703707
     2     512.0  630.153853      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  702.171410      664.216187   163.839992
     ..      ...         ...             ...          ...
     93  12160.0  810.666687      406.179533   199.038365
-    94  12288.0  810.754644      415.661740   199.298541
-    95  12416.0  809.189387      412.149375   198.954424
-    96  12544.0  807.661970      412.971190   199.209928
-    97  12672.0  807.776923      412.097543   199.167004
+    94  12288.0  810.754644      415.222812   199.298541
+    95  12416.0  809.189387      412.577363   198.854847
+    96  12544.0  807.661970      412.971190   199.061730
+    97  12672.0  807.776923      412.097543   199.264875
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  27.048 seconds)
+   **Total running time of the script:** ( 3 minutes  26.029 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 458c0798c..04727690b 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ 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
+    0    256.0   2.978909  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  39.025776  ...  40.140799             39.025776
+    5    896.0  37.971025  ...  39.025776             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
     7   1152.0  44.566925  ...  46.656000             45.938215
     8   1280.0  51.200001  ...  56.109587             56.109587
-    9   1408.0  64.138541  ...  66.485074             65.684049
-    10  1536.0  80.430545  ...  78.643199             78.643199
-    11  1664.0  62.929456  ...  62.492442             61.636381
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.172588             70.530615
+    9   1408.0  64.138541  ...  66.485074             66.485074
+    10  1536.0  79.526831  ...  78.643199             78.643199
+    11  1664.0  62.929456  ...  62.492442             62.492442
+    12  1792.0  72.983276  ...  72.047592             72.047592
+    13  1920.0  69.120002  ...  70.530615             70.172588
     14  2048.0  73.908442  ...  76.959706             76.608294
     15  2176.0  83.155572  ...  85.998493             85.998493
-    16  2304.0  68.446623  ...  77.307030             76.563695
-    17  2432.0  71.305746  ...  85.653855             85.134737
-    18  2560.0  77.833728  ...  81.108913             80.709358
-    19  2688.0  83.737433  ...  89.676257             89.464755
-    20  2816.0  83.074685  ...  82.916747             83.552120
-    21  2944.0  82.102191  ...  82.237674             82.237674
-    22  3072.0  82.540970  ...  89.170242             88.335577
-    23  3200.0  84.768213  ...  95.665176             95.380032
-    24  3328.0  83.034941  ...  85.096096             84.003845
-    25  3456.0  81.932484  ...  86.689860             88.595129
-    26  3584.0  87.296493  ...  98.699661             98.375705
-    27  3712.0  82.423549  ...  88.640059             85.822459
-    28  3840.0  84.421376  ...  91.930177             84.613126
-    29  3968.0  92.267631  ...  84.270676             91.403695
-    30  4096.0  86.592080  ...  86.703957             91.491294
+    16  2304.0  68.446623  ...  76.809875             76.809875
+    17  2432.0  71.305746  ...  74.918570             85.393507
+    18  2560.0  77.833728  ...  81.310171             80.709358
+    19  2688.0  83.552988  ...  89.676257             89.254248
+    20  2816.0  82.759409  ...  83.074685             83.392363
+    21  2944.0  82.784108  ...  81.832567             82.237674
+    22  3072.0  81.943708  ...  87.924073             89.030036
+    23  3200.0  82.368085  ...  89.012517             95.025983
+    24  3328.0  83.613586  ...  81.346098             83.905938
+    25  3456.0  81.766291  ...  90.943675             91.097818
+    26  3584.0  86.540320  ...  91.655413             87.381330
+    27  3712.0  85.163978  ...  84.088676             88.561477
+    28  3840.0  80.960466  ...  86.400002             91.701494
+    29  3968.0  86.083907  ...  91.198760             84.154440
+    30  4096.0  93.498941  ...  93.336389             89.181212
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ 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  8.320 seconds)
+   **Total running time of the script:** ( 6 minutes  4.767 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 c3b814a25..f7149d658 100644
--- a/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.189 seconds)
+   **Total running time of the script:** ( 0 minutes  0.271 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 52f0e5f58..a6feaad6c 100644
--- a/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**11:32.474** total execution time for **getting-started_tutorials** files:
+**11:15.571** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:08.320 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.767 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.048 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.029 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:56.916 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.504 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.189 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.271 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index c9b5fad0d..5a8e9df35 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -323,10 +323,10 @@ 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   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+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
@@ -338,7 +338,7 @@ 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  56.916 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.504 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 13b6fe009..ba73b9fc5 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -373,17 +373,17 @@ 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  512.000001      546.133347   186.181817
-1     384.0  585.142862      585.142862   153.600004
+0     256.0  512.000001      546.133347   184.089886
+1     384.0  585.142862      558.545450   151.703707
 2     512.0  630.153853      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
 4     768.0  702.171410      664.216187   163.839992
 ..      ...         ...             ...          ...
 93  12160.0  810.666687      406.179533   199.038365
-94  12288.0  810.754644      415.661740   199.298541
-95  12416.0  809.189387      412.149375   198.954424
-96  12544.0  807.661970      412.971190   199.209928
-97  12672.0  807.776923      412.097543   199.167004
+94  12288.0  810.754644      415.222812   199.298541
+95  12416.0  809.189387      412.577363   198.854847
+96  12544.0  807.661970      412.971190   199.061730
+97  12672.0  807.776923      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -396,7 +396,7 @@ 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> ( 3 minutes  27.048 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  26.029 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 24a565332..1af06876c 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
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.730667  ...   2.978909              2.978909
+0    256.0   2.978909  ...   2.978909              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
-5    896.0  39.025776  ...  40.140799             39.025776
+5    896.0  37.971025  ...  39.025776             39.025776
 6   1024.0  49.932191  ...  53.773130             52.428801
 7   1152.0  44.566925  ...  46.656000             45.938215
 8   1280.0  51.200001  ...  56.109587             56.109587
-9   1408.0  64.138541  ...  66.485074             65.684049
-10  1536.0  80.430545  ...  78.643199             78.643199
-11  1664.0  62.929456  ...  62.492442             61.636381
-12  1792.0  72.983276  ...  72.047592             71.588687
-13  1920.0  69.120002  ...  70.172588             70.530615
+9   1408.0  64.138541  ...  66.485074             66.485074
+10  1536.0  79.526831  ...  78.643199             78.643199
+11  1664.0  62.929456  ...  62.492442             62.492442
+12  1792.0  72.983276  ...  72.047592             72.047592
+13  1920.0  69.120002  ...  70.530615             70.172588
 14  2048.0  73.908442  ...  76.959706             76.608294
 15  2176.0  83.155572  ...  85.998493             85.998493
-16  2304.0  68.446623  ...  77.307030             76.563695
-17  2432.0  71.305746  ...  85.653855             85.134737
-18  2560.0  77.833728  ...  81.108913             80.709358
-19  2688.0  83.737433  ...  89.676257             89.464755
-20  2816.0  83.074685  ...  82.916747             83.552120
-21  2944.0  82.102191  ...  82.237674             82.237674
-22  3072.0  82.540970  ...  89.170242             88.335577
-23  3200.0  84.768213  ...  95.665176             95.380032
-24  3328.0  83.034941  ...  85.096096             84.003845
-25  3456.0  81.932484  ...  86.689860             88.595129
-26  3584.0  87.296493  ...  98.699661             98.375705
-27  3712.0  82.423549  ...  88.640059             85.822459
-28  3840.0  84.421376  ...  91.930177             84.613126
-29  3968.0  92.267631  ...  84.270676             91.403695
-30  4096.0  86.592080  ...  86.703957             91.491294
+16  2304.0  68.446623  ...  76.809875             76.809875
+17  2432.0  71.305746  ...  74.918570             85.393507
+18  2560.0  77.833728  ...  81.310171             80.709358
+19  2688.0  83.552988  ...  89.676257             89.254248
+20  2816.0  82.759409  ...  83.074685             83.392363
+21  2944.0  82.784108  ...  81.832567             82.237674
+22  3072.0  81.943708  ...  87.924073             89.030036
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