Name
Abstract | ||
|---|---|---|
It is common that multiple cores reside on the same chip and share the on-chip cache. As a result, resource sharing can cause performance degradation of co-running jobs. Job co-scheduling is a technique that can effectively alleviate this contention and many co-schedulers have been reported in related literature. Most solutions however do not aim to find the optimal co-scheduling solution. Being a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPDS.2015.2468223 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Degradation,Multicore processing,Scheduling,Approximation algorithms,Program processors,Optimization,Processor scheduling | Cache,Computer science,Scheduling (computing),Real-time computing,Multi-core processor,Distributed computing,Approximation algorithm,Graph,Co scheduling,Parallel computing,Algorithm,Chip,Shared resource | Journal |
Volume | Issue | ISSN |
27 | 6 | 1045-9219 |
Citations | PageRank | References |
5 | 0.41 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ligang He | 1 | 542 | 56.73 |
| Huanzhou Zhu | 2 | 11 | 2.19 |
| Stephen A. Jarvis | 3 | 1073 | 87.04 |