Test Scheduling for Three Dimensional Network-on-Chip Based on Improved Cloud Evolutionary Algorithm

XU Chuan-pei; LING Jing

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Test Scheduling for Three Dimensional Network-on-Chip Based on Improved Cloud Evolutionary Algorithm

更新时间：2026-09-04

- Test Scheduling for Three Dimensional Network-on-Chip Based on Improved Cloud Evolutionary Algorithm
- Vol. 33, Issue 7, Pages: 74-78(2016)
- 作者机构：
  
  1. 桂林电子科技大学机构电子工程与自动化学院,广西,桂林,541004
  2. 广西自动检测技术与仪器重点实验室,广西,桂林,541004
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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许川佩, 凌景. 基于ICEA的3D NoC测试规划研究[J]. 微电子学与计算机, 2016, 33(7): 74-78.

XU Chuan-pei, LING Jing. Test Scheduling for Three Dimensional Network-on-Chip Based on Improved Cloud Evolutionary Algorithm[J]. 2016, 33(7): 74-78.
许川佩, 凌景. 基于ICEA的3D NoC测试规划研究[J]. 微电子学与计算机, 2016, 33(7): 74-78. DOI：

XU Chuan-pei, LING Jing. Test Scheduling for Three Dimensional Network-on-Chip Based on Improved Cloud Evolutionary Algorithm[J]. 2016, 33(7): 74-78. DOI：

摘要

采用带分复用的测试方法

结合自然进化策略的云进化算法(CEA)优化3D NoC测试规划

依据带分复用的特点建立3D NoC测试时间优化模型

在功耗和带宽双重约束下

采用改进的云进化算法(ICEA)对该模型进行求解

完成3D NoC测试.以ITC’02基准电路为实验对象

实验结果表明该算法能迅速收敛到适应值最佳的测试规划

实现3D NoC资源内核的最大化并行测试

提高测试效率

缩短测试时间.

Abstract

This paper adopt the test method of bandwidth division multiplexing

based on cloud evolutionary algorithm that combined with the natural evolution strategies to optimize the test scheduling for 3D NoC. Establish test time model according to the features of bandwidth division multiplexing

under the dual constraints of power and bandwidth

the model is solved with improved cloud evolutionary algorithm to complete the test. With ITC02 test circuit as the simulation object

experimental results show this algorithm can search best test scheduling quickly

maximize the parallel test on 3D NoC resources cores

improve test efficiency and reduce testing time.

关键词

Keywords

references

Alexandre Amory, Edson Moreno, Fernando Moraes. Determining the test sources/sinks for NoC TAMs[C]//2013 IEEE Computer Society Annual Symposium on VLSI. Natal Brazil: Computer Society Press, 2013: 8-13.

许川佩, 姚永兴. 3D NoC的测试端口选择优化[J]. 计算机应用研究, 2015, 32(3): 810-820. DOI: 810

张颖, 吴宁, 葛芬. 面向测试优化的片上网络映射算法[J]. 计算机应用, 2014, 34(12): 3628-3632. DOI: 3628

Fccro B S, Pande P P. Networks-on-chip in a three-dimensional environment: a performance evaluatio[J]. IEEE Transactions on Computers, 2009, 58(1): 32-45. DOI: 32

张光卫, 何锐, 刘禹, 等. 基于云模型的进化算法[J]. 计算机学报, 2008, 31(7): 1082-1091. DOI: 1082

Mukesh Agrawal, Krishnendu Chakrabarty. Test time optimization in NoC-based manycore SoCs using multicast routing[C]//2014 IEEE 32nd VLSI Test Symposium(VTS). California, IEEE Computer Society Press, 2014: 18-23.

许川佩, 陈家栋, 万春霆. 基于云模型进化算法的硅通孔数量受约束的3D NoC测试规划研究[J]. 电子与信息学报, 2015, 37(2): 477-483. DOI: 477

李国柱. 基于云模型的实数编码量子进化算法[J]. 计算机应用, 2013, 33(9): 2550-2552. DOI: 2550

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