| Publication Type |
pre-print |
| School or College |
College of Engineering |
| Department |
Computing, School of |
| Creator |
Berzins, Martin |
| Other Author |
Humphrey, Alan; Meng, Qingyu; De Oliveira, Diego Caminha B.; Rakamaric, Zvonunir; Gopalakrishnan, Ganesh |
| Title |
Systematic debugging methods for large-scale HPC computational frameworks |
| Date |
2014-01-01 |
| Description |
Parallel computational frameworks for high-performance computing are central to the advancement of simulation-based studies in science and engineering. Finding and fixing bugs in these frameworks can be time consuming. If left unchecked, these bugs diminish the amount of new science performed. A systematic study of the Uintah Computational Framework investigates debugging approaches, leveraging the framework's modular structure. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| Volume |
16 |
| Issue |
3 |
| First Page |
48 |
| Last Page |
56 |
| Language |
eng |
| Bibliographic Citation |
Humphrey, A., Meng, Q., Berzins, M., De Oliveira, D. C. B., Rakamaric, Z., & Gopalakrishnan, G. (2014). Systematic debugging methods for large-scale HPC computational frameworks. Computing in Science and Engineering, 16(3), 48-56. |
| Rights Management |
(c) 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Format Medium |
application/pdf |
| Format Extent |
1,058,814 bytes |
| Identifier |
uspace,18775 |
| ARK |
ark:/87278/s60321ms |
| Setname |
ir_uspace |
| ID |
712603 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s60321ms |
