Title
A Two-Stage Variation-Aware Task Mapping Scheme For Fault-Tolerant Multi-Core Network-On-Chips
Abstract
With technology scaling, process variations influence the performance, power and reliability significantly, especially for multi-core and many-core systems. Faulty-tolerant multi-core architectures are paid widely attention to, which integrate redundant cores to improve the manufacturing yield. In this paper, a two-stage variation-aware task mapping scheme is proposed for multi-core NoCs with redundant cores. Firstly, a static genetic task mapping algorithm is presented to generate multiple task mapping solutions to cover a maximum range of chips. Then, at runtime, one optimal mapping solution is selected, and logical cores are mapped to physical available cores. Both core asymmetry and topology changes are considered in the proposed approach. Experimental results demonstrate that the proposed approach increases the performance yield by 56%, and the communication cost is reduced by 11.3%.
Year
Venue
Keywords
2017
2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
Process variation, task mapping, fault-tolerant, Network-on-Chips, multi-core
Field
DocType
ISSN
Network on,Technology scaling,Computer science,Task mapping,Fault tolerance,Multi-core processor,Distributed computing
Conference
0271-4302
Citations 
PageRank 
References 
1
0.34
4
Authors
5
Name
Order
Citations
PageRank
lei zhang1403143.70
Jianxun Yang2122.80
Chengbo Xue310.68
Yue Ma468.90
Shan Cao53016.45