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Proceedings Paper

Cloud-based evolutionary algorithm for Network on Chip (NoC) test scheduling using NoC as TAMs
Author(s): Chuanpei Xu; Malgorzata Chrzanowska-Jeske; Pu Zhang; Cong Hu
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Paper Abstract

Network 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.

Paper Details

Date Published: 31 January 2013
PDF: 8 pages
Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87590K (31 January 2013); doi: 10.1117/12.2016961
Show Author Affiliations
Chuanpei Xu, Guilin Univ. of Electronic Technology (China)
Malgorzata Chrzanowska-Jeske, Portland State Univ. (United States)
Pu Zhang, Military Representative Office of Wuhan Bureau Stationed in Changsha (China)
Cong Hu, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 8759:
Eighth International Symposium on Precision Engineering Measurement and Instrumentation
Jie Lin, Editor(s)

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