›› 2014, Vol. 27 ›› Issue (10): 76-.

• 论文 • 上一篇    下一篇

基于云进化算法的3D NoC测试端口优化选择

陈家栋,李祥梅   

  1. (桂林电子科技大学 电子工程与自动化学院,广西 桂林 541004)
  • 出版日期:2014-10-15 发布日期:2014-10-17
  • 作者简介:陈家栋(1986—),男,硕士研究生。研究方向:集成电路测试。E-mail:cljxdm@163.com

Optimized Selection of 3D NoC Test Ports Based on the Cloud Evolution Algorithm

CHEN Jiadong,LI Xiangmei   

  1. (School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China)
  • Online:2014-10-15 Published:2014-10-17

摘要:

针对于三维片上网络测试时,如何选择测试端口以提高测试效率的难题,采用基于云模型的进化算法对三维片上网络测试端口进行位置寻优,并对IP核的测试数据进行合理分配,在测试功耗约束条件下,以重用片上网络作为测试访问机制,基于XYZ路由算法和非抢占式测试调度方式,对三维片上网络IP核实施并行测试,以提高测试效率。研究结果表明,该方法可对测试端口的位置及组合方案进行精确寻优,且有效减少了测试时间。

关键词: 三维片上网络, 云模型, 进化算法, 测试端口

Abstract:

In order to solve the problem of how to select 3D NoC test ports so that we can improve test efficiency,a method is proposed in this paper.This method uses the evolution algorithm based on the cloud model to select 3D NoC test ports and allocate the test data of IP cores to the test ports reasonably,and then tests the IP cores in parallel under power constraint by reusing the on-chip network as the test access mechanism and using the XYZ routings algorithm and non-preemptive test scheduling to achieve improve the test efficiency.Experiment results demonstrate that the proposed method can improve the precision for searching the test ports position and combination,and reduces the test time efficiently.

Key words: 3D NoC;cloud model;evolution algorithm;test ports

中图分类号: 

  • TP306