Cloud-based Evolutionary Algorithm for Network on Chip (NoC) Test Scheduling using NoC as TAMs

被引：0

作者：

Xu, Chuanpei ^{[1
]}

Chrzanowska-Jeske, Malgorzata ^{[2
]}

Zhang, Pu ^{[3
]}

Hu, Cong ^{[1
]}

机构：

[1] Guilin Univ Elect Technol, Guilin 541004, Peoples R China

[2] Portland State Univ, Portland, OR 97201 USA

[3] Mil Representat Off Wuhan Bur Stationed, Changsha 410014, Peoples R China

来源：

EIGHTH INTERNATIONAL SYMPOSIUM ON PRECISION ENGINEERING MEASUREMENTS AND INSTRUMENTATION | 2013年 / 8759卷

关键词：

network on chip; test; optimization; cloud evolution algorithm;

D O I：

10.1117/12.2016961

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

fNetwork on Chip is a novel system-on-chip paradigm. Developing an efficient test strategy is essential for future NoC development. We propose to use cloud theory to solve core test scheduling problem for NoC using NoC communication network as test access mechanisms (TAMs). A cloud model is build and used by our evolutionary algorithm to optimize NoC testing time under power consumption constraint. The goal is to use cloud evolutionary algorithm to schedule testing of NoC cores as much in parallel as possible. Experiments show that the proposed algorithm converges much faster than the tradition evolutionary algorithm and can find testing schedules that reduce NoC testing time.

引用

页数：8

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