Automatic code generation for distributed memory architectures in the polytope model

The polytope model has been used successfully as a tool for program analysis and transformation in the field of automatic loop parallelization. However, for the final step of automatic code generation, the generated code is either only usable on shared memory architectures or severely restricts the parallelization methods that can be applied. In this paper, we present a fully automated method for generating efficient target code, which is executable on clusters that are based on a distributed memory architecture. We also provide speedup results of experiments on a local cluster.