| 仿生优化算法在片上网络映射的应用研究 |
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| 引用本文： | 胡伟,欧阳一鸣. 仿生优化算法在片上网络映射的应用研究[J]. 黄山学院学报, 2011, 13(5): 30-35 |
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| 作者姓名： | 胡伟 欧阳一鸣 |
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| 作者单位： | 合肥工业大学计算机与信息学院,安徽合肥,230009 |
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| 基金项目： | 黄山学院自然科学研究项目(2011xkj008);黄山学院教学研究项目(2010JXYJ17) |
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| 摘 要： | 片上系统发展到片上网络阶段,能耗问题已经成为片上网络技术的重要约束。在片上网络映射中应用了生物仿生算法—蚁群优化算法使系统能耗达到优化,实验表明蚁群优化算法运用较好的局部搜索算法可以很快地收敛,针对不同的应用,可以减少15%-40%的通讯能耗。
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| 关 键 词： | 片上网络 仿生优化算法 蚁群优化算法 通讯能耗 |
The Application of Bionic Optimization Algorithm in NoC Mapping |
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| Hu Wei,,Ouyang Yiming. The Application of Bionic Optimization Algorithm in NoC Mapping[J]. Journal of Huangshan University, 2011, 13(5): 30-35 |
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| Authors: | Hu Wei Ouyang Yiming |
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| Affiliation: | Hu Wei1,2,Ouyang Yiming1 (1.School of Computer and Information,Hefei University of Technology,Hefei 230009,China,2.School of Information Engineering,Huangshan University,Huangshan 245021,China) |
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| Abstract: | System on Chip has been developed to Network on-chip stage at which the energy consumption of NoC technology has become the main constraint.Biological bionic algorithm and ant colony optimization algorithm are adopted in NoC mapping to optimize energy consumption.Experimental results show that ant colony optimization algorithm using a good local search algorithm can quickly converge,and 15%-40% of the communication energy consumption can be reduced depending on its various applications. |
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| Keywords: | Network on-chip bionic optimization algorithm ant colony optimization algorithm communication energy consumption |
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