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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaozhong Geng Gaochao Xu Dan Wang Ying Shi |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical & Information Technology Changchun Institute of Technology, Changchun, China (Ying Shi) || Department of Computer Science & Technology Jilin University, Changchun, China (Xiaozhong Geng; Gaochao Xu; Dan Wang) |
| Abstract | With the development of multi-core technology, the number of processing core is growing dramatically. In order to make full use of these processing cores of such large number, this paper proposed a task scheduling algorithm on the basis of task duplication, which is composed of three steps of operations so that threads are allocated to processing cores more suitably. This algorithm not only increases the executive efficiency of task scheduling, but also can adjust scheduling sets according to the number of processing core. This algorithm diminishes communication overhead and keeps load balancing between cores, and meanwhile speedup ratio of parallel program is improved. The simulation experiment data shows that the algorithm can find near-optimal solutions in reasonable time, and that it can find solutions in less time than genetic algorithms when the number of threads increases. |
| Starting Page | 942 |
| Ending Page | 945 |
| File Size | 293190 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612847191 |
| e-ISBN | 9781612847221 |
| DOI | 10.1109/MEC.2011.6025620 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicore processing Instruction sets Task duplication Task scheduling Scheduling Multi-core processor Resource management Load balancing Scheduling algorithm Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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