Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory

Journal Article · Wed May 04 00:00:00 EDT 2016 · Journal of Computational Science

DOI:https://doi.org/10.1016/j.jocs.2016.04.010· OSTI ID:1326223

Saad, Tony ^[1]; Sutherland, James C. ^[1]

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1. Univ. of Utah, Salt Lake City, UT (United States)

To address the coding and software challenges of modern hybrid architectures, we propose an approach to multiphysics code development for high-performance computing. This approach is based on using a Domain Specific Language (DSL) in tandem with a directed acyclic graph (DAG) representation of the problem to be solved that allows runtime algorithm generation. When coupled with a large-scale parallel framework, the result is a portable development framework capable of executing on hybrid platforms and handling the challenges of multiphysics applications. In conclusion, we share our experience developing a code in such an environment – an effort that spans an interdisciplinary team of engineers and computer scientists.

• Research Organization: Univ. of Utah, Salt Lake City, UT (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: NA0002375; AC05-00OR22725
• OSTI ID: 1326223
• Alternate ID(s): OSTI ID: 1326224; OSTI ID: 1419573
• Report Number(s): DOE-UTAH-SAAD-0004; PII: S1877750316300485
• Journal Information: Journal of Computational Science, Journal Name: Journal of Computational Science; ISSN 1877-7503
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
Domain Specific Language
computational physics
graph theory