| 基于云进化算法的NoC测试规划 |
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| 引用本文： | 侯绪彬.基于云进化算法的NoC测试规划[J].电子科技,2013,26(9):1-3. |
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| 作者姓名： | 侯绪彬 |
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| 作者单位： | (桂林电子科技大学 电子工程与自动化学院,广西 桂林 541004) |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 针对NoC测试时,如何在功耗限制下利用有限的片上资源最大化并行测试,以优化NoC测试时间的问题,文中提出一种利用云进化算法进行测试规划的方法,可以有效提高测试效率。该方法复用NoC的片上资源作为TAM,采用非抢占式测试和XY路由方式,通过云进化算法优化待测IP核在各条TAM上的分配方式寻找最佳方案。在ITC'02标准电路上的实验结果表明,该方法有效降低了测试时间,提高了测试效率。
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| 关 键 词： | 片上网络 并行测试 测试规划 云进化算法 |
Test Scheduling of NoC Based on Cloud Evolution Algorithm |
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| HOU Xubin.Test Scheduling of NoC Based on Cloud Evolution Algorithm[J].Electronic Science and Technology,2013,26(9):1-3. |
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| Authors: | HOU Xubin |
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| Affiliation: | (School of Electronic Engineering and Automation,Guilin University of Electronic Science and Technology,Guilin 541004,China) |
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| Abstract: | In order to reduce the test time of NoC,the problem of how to use the limited on-chip resources to maximize parallel test in power constraints is discussed.This paper presents a method for using the cloud evolution algorithm to schedule the IP cores,which effectively improves the test efficiency.The method reuses the on-chip network as TAM (test access mechanism),using non-preemptive test and XY routing mode and optimizing the allocation of IP cores in each TAM by the cloud evolution algorithm.Experimental results from the ITC'02 system-on-chip benchmarks show that this method effectively reduces the test time and improves the test efficiency. |
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| Keywords: | NoC test scheduling parallel test cloud evolution algorithm |
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