The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
PARCOACH Extension for a Full-Interprocedural Collectives Verification
Authors: Emmanuelle Saillard (French Institute for Research in Computer Science and Automation (INRIA))
Abstract: The advent to exascale requires more scalable and efficient techniques to help developers to locate, analyze and correct errors in parallel applications.
PARallel COntrol flow Anomaly CHecker (PARCOACH) is a framework that detects the origin of collective errors in applications using MPI and/or OpenMP.
In MPI, such errors include collective operations mismatches. In OpenMP, a collective error can be a barrier not called by all tasks in a team.
In this paper, we present an extension of PARCOACH which improves its collective errors detection.
We show our analysis is more precise and accurate than the previous one on different benchmarks and real applications.
Archive Materials
Back to 2nd International Workshop on Software Correctness for HPC Applications (Correctness 2018) Archive Listing
Back to Full Workshop Archive Listing