期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2235&2236
页码：278-281
出版社：Newswood and International Association of Engineers
摘要：How to efficiently map the specific application to
NoC infrastructure is always an important topic for complex
SoC chips. At the same time, there are many challenges for
testing of NoC. This paper proposes a novel collaborative
optimization scheme of IP cores testing and NoC mapping.
Associated with the pre-designed test structure, IP cores are
partitioned into parallel testing groups to minimize the testing
time. We adapt the Multi-Objective Genetic Algorithm to
collaboratively optimize testing time and NoC mapping
performance. Besides the process time is relatively decreased,
the balance of testing and mapping overheads can be adjusted
for various applications. The results of simulations and
experiments on testing platform with ITC'02 benchmark
circuits showed the effectiveness and flexibility of the
collaborative testing and mapping optimization for NoC.
