Compilation for a high-performance systolic array

Abstract

We report on a compiler for Warp, a high-performance systolic array developed at Carnegie Mellon. This compiler enhances the usefulness of Warp significantly and allows application programmers to code substantial algorithms. The compiler combines a novel programming model, which is based on a model of skewed computation for the array, with powerful optimization techniques. Programming in W2 (the language accepted by the compiler) is orders of magnitude easier than coding in microcode, the only alternative available previously.