An important aspect of building robust systems that execute on dedicated hardware and perhaps in constrained environments is to control and manage the effects performed by program code.

We present ReML, a higher-order statically-typed functional language, which allows programmers to be explicit about the effects performed by program code and in particular effects related to memory management. Allowing programmers to be explicit about effects, the regions in which values reside, and the constraints under which code execute, makes programs robust to changes in the program source code and to compiler updates, including compiler optimisations.

ReML is integrated with a polymorphic inference system that builds on top of region-inference, as it is implemented in the MLKit, a Standard ML compiler that uses region-based memory management as its primary memory management scheme.

Professor in the Programming Languages and Theory of Computation (PLTC) section at Department of Computer Science, University of Copenhagen (DIKU). Conducts research in the design and implementation of programming languages, including compilation techniques for functional languages, parallelism, memory management, and program optimisation.