the arc of software bends towards understanding
The imperative. When should you create a custom data type, as opposed to reusing pre-existing data types such as Either, Maybe or tuples? Here are some reasons you should reuse a generic type: It saves typing (both in declaration and in pattern matching), making it good for one-off affairs, It gives you a library of […]
The essence of dataflow optimization is analysis and transformation, and it should come as no surprise that once you’ve defined your intermediate representation, the majority of your work with Hoopl will involve defining analysis and transformations on your graph of basic blocks. Analysis itself can be further divided into the specification of the dataflow facts […]
Hoopl is a higher-order optimization library. We think it’s pretty cool! This series of blog post is meant to give a tutorial-like introduction to this library, supplementing the papers and the source code. I hope this series will also have something for people who aren’t interested in writing optimization passes with Hoopl, but are interested […]