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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Luo Hongjun He Chunke Liao Qiang Dou Weixia Xu |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Computer Science, National University of Defense Technology, Changsha, Hunan Province, China (Li Luo; Hongjun He; Chunke Liao; Qiang Dou; Weixia Xu) |
| Abstract | Hardware/Software partitioning is one of the critical steps in Hardware/Software Co-Design flow, and has very important influence on the system performance. Hardware/Software partitioning is also a NP-hard problem. In this paper, we present a new Hardware/Software partitioning algorithm called PSO-IC for heterogeneous multicore SOC, which combines particle swarm optimization (PSO) algorithm and immune clone (IC) algorithm. Comparing with GA and PSO algorithm, the experiment shows that our algorithm can acquire better trade-off between partitioning time and optimization quality. So our algorithm is an effective hardware/software partitioning algorithm. |
| Starting Page | 490 |
| Ending Page | 494 |
| File Size | 200790 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424457014 |
| e-ISBN | 9781424457045 |
| DOI | 10.1109/ICINFA.2010.5512386 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicore processing Software algorithms Cloning Software performance immune clone(IC) Partitioning algorithms hardware/software partitioning Particle swarm optimization Genetic algorithms Application specific integrated circuits heterogeneous multicore SOC (system on a chip) genetic algorithm (GA) Hardware System-on-a-chip particle swarm optimization (PSO) |
| Content Type | Text |
| Resource Type | Article |
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