Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs

被引：0

作者：

Zhou, Yupeng ^{[1
]}

Yan, Rongjie ^{[2
]}

Cai, Anyu ^{[3
]}

Yan, Yige ^{[1
]}

Yin, Minghao ^{[1
]}

机构：

[1] Northeast Normal Univ, Sch Informat Sci & Technol, Changchun, Jilin, Peoples R China

[2] Chinese Acad Sci, Inst Software, Beijing, Peoples R China

[3] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China

来源：

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2020年 / 34卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider spacial and temporal aspects of communication to avoid contention in Network-on-Chip (NoC) architectures. A constraint model is constructed such that the design concerns can be evaluated, and an efficient evolutionary algorithm with various heuristics is proposed to search for better solutions. Experimentations from random benchmarks demonstrate the efficiency of our method in multi-objective optimization and the effectiveness of our techniques in avoiding network contention.

引用

页码：13995 / 13996

页数：2

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