| Publication Type |
pre-print |
| School or College |
College of Engineering |
| Department |
Computing, School of |
| 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 |
(c) Springer (The original publication is available at www.springerlink.com) |
| 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 |
