Multi-valued Expression Analysis for Collective Checking

Determining if a parallel program behaves as expected on any execution is challenging due to non-deterministic executions. Static analyses help to detect all execution paths that can be executed concurrently by identifying multi-valued expressions, i.e. expressions evaluated differently among processes. This can be used to find collective errors in parallel programs. In this paper, we propose a new method that combines a control-flow analysis with a multi-valued expressions detection to find such errors. We implemented our method in the PARCOACH framework and successfully analyzed parallel applications using MPI, OpenMP, UPC and CUDA.