Author
Listed:
- Tim Cramer
(RWTH Aachen University, IT Center
RWTH Aachen University, Chair for High Performance Computing
JARA - High-Performance Computing)
- Felix Münchhalfen
(RWTH Aachen University, IT Center
RWTH Aachen University, Chair for High Performance Computing
JARA - High-Performance Computing)
- Christian Terboven
(RWTH Aachen University, IT Center
RWTH Aachen University, Chair for High Performance Computing
JARA - High-Performance Computing)
- Tobias Hilbrich
(Technische Universität Dresden)
- Matthias S. Müller
(RWTH Aachen University, IT Center
RWTH Aachen University, Chair for High Performance Computing
JARA - High-Performance Computing)
Abstract
Current High Performance Computing (HPC) systems consist of compute nodes that can communicate via an interconnect. Each compute node features multiple compute cores that can access shared-memory. The Message Passing Interface (MPI) is the de-facto standard for the programming of distributed memory applications. At the same time, OpenMP is a well-suited parallel programming paradigm to utilize the parallel cores within a compute node. Thus, current HPC systems encourage a hybrid programming approach that combines MPI with OpenMP. However, using both programming paradigms at the same time can lead to more error-prone applications. The runtime correctness checking tool MUST supports programmers in the detection and removal of MPI-specific programming defects. We present an extension of MUST towards the analysis of OpenMP-MPI parallel applications in order to support programmers that combine both paradigms. This includes thread-safety concerns in MUST itself, an extended event model based on the upcoming OpenMP Tools Interface (OMPT), as well as a prototypical error analysis with a synthetic example. We further discuss classes of defects that are specific to OpenMP applications and highlight techniques for their detection.
Suggested Citation
Tim Cramer & Felix Münchhalfen & Christian Terboven & Tobias Hilbrich & Matthias S. Müller, 2016.
"Extending MUST to Check Hybrid-Parallel Programs for Correctness Using the OpenMP Tools Interface,"
Springer Books, in: Andreas Knüpfer & Tobias Hilbrich & Christoph Niethammer & José Gracia & Wolfgang E. Nagel & Michael (ed.), Tools for High Performance Computing 2015, chapter 0, pages 85-101,
Springer.
Handle:
RePEc:spr:sprchp:978-3-319-39589-0_7
DOI: 10.1007/978-3-319-39589-0_7
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