MLIR Learning Resources post

aliabdelkader · Apr 27, 2024 · 94dd502 · 94dd502
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   Free for personal and commercial use under the MIT license
   https://github.com/mmistakes/minimal-mistakes/blob/master/LICENSE
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+
+<!--
+  Resume page /resume/ is based on resume-template theme by Joel Glovier 
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+  <!--
+    This webpage is based on resume-template theme by Joel Glovier 
+    Copyright (c) 2015 Joel Glovier | @jglovier
+    https://github.com/jglovier/resume-template/blob/gh-pages/LICENSE
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diff --git a/_posts/2010-01-07-post-standard.md b/_posts/2010-01-07-post-standard.md
diff --git a/_posts/2024-04-27-mlir-learning-resources.md b/_posts/2024-04-27-mlir-learning-resources.md
@@ -0,0 +1,26 @@
+---
+title: "MLIR Learning Resources"
+tags:
+  - MLIR
+---
+
+In the past few months, I have started learning Multi level Intermidate Representation [MLIR](https://mlir.llvm.org/). MLIR is framework used for creating compilers. It was originally created by Google and is now part of LLVM. It has been used to build many machine learning compilers such as [IREEE](https://iree.dev/), [OpenXLA](https://openxla.org/) and [Torch-MLIR](https://github.com/llvm/torch-mlir).
+
+Unfortunately, MLIR has a steep learning curve. Here is a list of the resources that I have found helpful so far:
+
+- I found a good introduction to MLIR and how it can be used in the "MLIR Tutorial" by Mehdi Amini & River Riddle [link](https://youtu.be/Y4SvqTtOIDk?si=bSgOqbXJlUqF5zWK). 
+
+- Another recommended introduction to MLIR was presented by Oleksandr "Alex" Zinenko in CGO Conference [link](https://youtu.be/C_MdJu70z2o?si=Pj_-xKSVbSj6iORI).
+
+- I think Jeremy Kun's  “MLIR for Beginners” tutorial is the most accessible tutorial for beginners [link](https://github.com/j2kun/mlir-tutorial/tree/main).
+
+- The toy tutorial in the MLIR repo provides a nice end to end example in which the toy language is lowered all the way to LLVMIR and executed. It also shows all the different components inside the MLIR framework [link](https://mlir.llvm.org/docs/Tutorials/Toy/).
+
+- Alex Zinenko provided an excellent analysis and breakdown of the different dialects in this write up [link](https://discourse.llvm.org/t/codegen-dialect-overview/2723).
+
+- Mehdi Amini provided an insightful presentation about the internal implementation of the mlir operations and attributes in this MLIR Open Design Meeting [slides](https://mlir.llvm.org/OpenMeetings/2023-02-09-Properties.pdf) [recording](https://youtu.be/7ofnlCFzlqg)
+
+- I recommend having a look at previous MLIR talks [link](https://mlir.llvm.org/talks/)
+
+I hope that was helpful. I will keep updating this list with resources as I go.
+
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