Abstract
HPC practitioners make use of techniques, such as parallelism and sparse data structures, that are difficult to reason about and debug. Here we explore the role of data refinement, a correct-by-construction approach, in verifying HPC applications via bounded model checking. We show how single program, multiple data (SPMD) parallelism can be modeled in Alloy, a declarative specification language, and describe common issues that arise when performing scope-complete refinement checks in this context.
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Notes
- 1.
It is well known that running unit tests is a poor way of unearthing conceptual flaws.
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Acknowledgments
This work was funded by NSF under the Formal Methods in the Field (FMitF) program, awards #2124205 (NCSU) and #2124100 (Utah).
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Benavides, J., Baugh, J., Gopalakrishnan, G. (2023). An HPC Practitioner’s Workbench for Formal Refinement Checking. In: Mendis, C., Rauchwerger, L. (eds) Languages and Compilers for Parallel Computing. LCPC 2022. Lecture Notes in Computer Science, vol 13829. Springer, Cham. https://doi.org/10.1007/978-3-031-31445-2_5
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