Building an Abstract Interpreter for Toy IR Optimization
By
ChadNauseam
The kind of bagel that ruins lesser bagels for you.
Summary
This blog post introduces an abstract interpreter for the Toy IR (intermediate representation) and demonstrates how to use it for simple optimizations. The author builds upon previous work by CF Bolz-Tereick on a small IR and optimizer with allocation removal, and explains abstract interpretation as a framework for computing properties that must hold for all possible executions. The content is technical and assumes familiarity with the Toy IR, which is available in a GitHub Gist.
Key quotes
· 4 pulledAbstract interpretation is a general framework for efficiently computing properties that must be true for all possible executions
In this blog post, I'm going to write a small abstract interpreter for the Toy IR and then show how we can use it to do some simple optimizations
CF Bolz-Tereick wrote some excellent posts in which they introduce a small IR and optimizer and extend it with allocation removal
It assumes that you are familiar with the little IR, which I have reproduced unchanged in a GitHub Gist
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