Name
Abstract | ||
|---|---|---|
Many HPC applications suffer from a bottleneck in the shared caches, instruction execution units, I/O or memory bandwidth, even though the remaining resources may be underutilized. It is hard for developers and runtime systems to ensure that all critical resources are fully exploited by a single application, so an attractive technique for increasing HPC system utilization is to colocate multiple applications on the same server. When applications share critical resources, however, contention on shared resources may lead to reduced application performance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jpdc.2021.02.010 | Journal of Parallel and Distributed Computing |
Keywords | DocType | Volume |
Resource manager,HPC systems,Machine learning,Colocation,Performance Characterization,Performance counters | Journal | 151 |
ISSN | Citations | PageRank |
0743-7315 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felippe V. Zacarias | 1 | 0 | 0.34 |
| Vinicius Petrucci | 2 | 212 | 13.68 |
| Rajiv Nishtala | 3 | 25 | 3.79 |
| Paul M. Carpenter | 4 | 102 | 15.48 |
| Daniel Mossé | 5 | 2184 | 148.86 |