| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6903029 | Sustainable Computing: Informatics and Systems | 2018 | 12 Pages |
Abstract
Our experiments and analysis show how branching, workload, depth and balance influence the execution time and energy spending over a set of synthetic and real world programs. We concluded that MaxLevel was the fastest overall, while MaxTasksInQueue was the most energy efficient algorithm. Also, despite MaxTasks being slower than the prior two, it can be used by a wider range of programs.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Alcides Fonseca, Bruno Cabral,