| Publication Type | pre-print |
| School or College | College of Engineering |
| Department | Kahlert School of Computing |
| Creator | Berzins, Martin |
| Other Author | Meng, Qingyu.; Schmidt, John; Sutherland, James C. |
| Title | DAG-based software frameworks for PDEs |
| Date | 2012-01-01 |
| Description | The task-based approach to software and parallelism is well-known and has been proposed as a potential candidate, named the silver model, for exas-cale 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. |
| Type | Text |
| Publisher | Springer |
| First Page | 324 |
| Last Page | 333 |
| Language | eng |
| Bibliographic Citation | Berzins, M., Meng, Q., Schmidt, J., & Sutherland, J. C. (2012). DAG-based software frameworks for PDEs. Lecture Notes in Computer Science, 324-33. |
| Rights Management | © Springer |
| Format Medium | application/pdf |
| Format Extent | 671,597 bytes |
| Identifier | uspace,18321 |
| ARK | ark:/87278/s6x06rwx |
| Setname | ir_uspace |
| ID | 709281 |
| Reference URL | https://collections.lib.utah.edu/ark:/87278/s6x06rwx |