Abstract
The task-based approach to software and parallelism is well-known and has been proposed as a potential candidate, named the silver model, for exascale software. This approach is not yet widely used in the large-scale multi-core parallel computing of complex systems of partial differential equations. After surveying task-based approaches we investigate how well the Uintah software and an extension named Wasatch fit in the task-based paradigm and how well they perform on large scale parallel computers. The conclusion is that these approaches show great promise for petascale but that considerable algorithmic challenges remain. © 2012 Springer-Verlag Berlin Heidelberg.
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Berzins, M., Meng, Q., Schmidt, J., & Sutherland, J. C. (2012). DAG-based software frameworks for PDEs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7155 LNCS, pp. 324–333). Springer Verlag. https://doi.org/10.1007/978-3-642-29737-3_37
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