Title | ||
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Contention-aware reliability management scheme for parallel tasks scheduling in heterogeneous computing systems |
Abstract | ||
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Energy efficiency and high system reliability are two primary measurement in modern high-performance computing. Most recent studies pay too much attention on low energy consumption or execution time for parallel tasks scheduling. In addition, these approaches are proposed for the classic scheduling model. It is increasing recognized that contention model is more realistic and be of benefit to create accurate and efficient schedules. This paper presents a contention-aware reliability management algorithm for parallel tasks scheduling in heterogeneous computing systems. Extensive experiments are performed to evaluate the results. It is demonstrated that our algorithm significant improve the system reliability. |
Year | DOI | Venue |
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2016 | 10.1109/IGCC.2016.7892620 | 2016 Seventh International Green and Sustainable Computing Conference (IGSC) |
Keywords | Field | DocType |
Contention-aware,parallel tasks,reliability,task scheduling | Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Gang scheduling,Two-level scheduling,Rate-monotonic scheduling,Earliest deadline first scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-5118-2 | 0 | 0.34 |
References | Authors | |
10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Longxin Zhang | 1 | 4 | 0.72 |
Kenli Li | 2 | 1389 | 124.28 |
Zhicheng Wen | 3 | 3 | 2.16 |
Cheng Peng | 4 | 9 | 8.32 |
Keqin Li | 5 | 2778 | 242.13 |