Name
Abstract | ||
|---|---|---|
For heterogeneous computing systems, various types of processor cores cause system performance degradation due to uneven load. In addition, the inability of multitasking to match the appropriate processor core is also an urgent problem. This article proposes a swarm intelligence task scheduling strategy based on the genetic algorithm (GA) for high-performance heterogeneous multicore processors. In... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/MCE.2021.3073654 | IEEE Consumer Electronics Magazine |
Keywords | DocType | Volume |
Task analysis,Genetic algorithms,Convergence,Processor scheduling,Statistics,Sociology,Multicore processing | Journal | 11 |
Issue | ISSN | Citations |
1 | 2162-2248 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang Juan | 1 | 9 | 4.63 |
| Jiaxing Zhang | 2 | 0 | 0.34 |
| Shuaibing Lu | 3 | 0 | 1.35 |
| Hui Zhao | 4 | 113 | 11.73 |
| Di Zhang | 5 | 0 | 0.34 |