Prototyping Parallel Algorithms using Standard ML.

Abstract

We have been developing techniques for deriving parallel implementations of vision algorithms from prototypes written in a functional language (SML). Initially, we analysed simple, well understood algorithms to allow the prototyping methodology to be investigated in a predictable environment. Subsequently, we have extended our approach to more difficult cases such as edge tracking which present problems for parallel system development. Here we demonstrate the power and generality of our approach to parallel algorithm development by a representative set of vision algorithms encoded in SML.