An interprocedural parallelizing compiler and its support for memory hierarchy research

Abstract

We present several new compiler techniques employed by our interprocedural parallelizing research compiler, Panorama, to improve loop parallelization and the efficiency of memory references. We first present an overview of the compiler and its associated memory architecture simulation environments. We then present an interprocedural array dataflow analysis, using guarded array regions, for automatic array privatization, an interprocedural static profile analysis, and a graph reduction algorithm for parallel task assignment and data allocation which aims at reducing remote memory references while maintaining loop parallelism.