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The R programming language combines a number of features considered hard toanalyze and implement efficiently: dynamic typing, reflection, lazy evaluation,vectorized primitive types, first-class closures, and extensive use of nativecode. Additionally, variable scopes are reified at runtime as first-classenvironments. The combination of these features renders most static programanalysis techniques impractical, and thus, compiler optimizations based on themineffective. We present our work on PIR, an intermediate representation withexplicit support for first-class environments and effectful lazy evaluation. Wedescribe two dataflow analyses on PIR: the first enables reasoning aboutvariables and their environments, and the second infers where arguments areevaluated. Leveraging their results, we show how to elide environment creationand inline functions.

R Melts Brains -- An IR for First-Class Environments and Lazy Effectful Arguments