Title Can Emerging Computing Paradigms Help Enhancing Reliability Towards the End of Technology Roadmap?
Authors Wang, Runsheng
Zhang, Zuodong
Zhang, Yawen
Hu, Yixuan
Sun, Yanan
Qian, Weikang
Huang, Ru
Affiliation Peking Univ, Inst Microelect, Beijing, Peoples R China
Shanghai Jiao Tong Univ, Dept Micronano Elect, Shanghai, Peoples R China
Shanghai Jiao Tong Univ, UM SJTU Joint Inst & MoE Key Lab Artificial Intel, Shanghai, Peoples R China
Issue Date 2021
Publisher 2021 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS)
Abstract With CMOS technology shrinking into nanoscale, the circuit design margin has become extremely tight due to the severer transistor aging and process variations. To relieve the circuit reliability problems, many design optimization methods have been proposed. In essence, all these methods trade off area/power /performance for reliability. In this paper, we present a new perspective to enhance design reliability: using emerging computing paradigms. As the preliminary attempts, three reliability-enhanced design flows based on approximate computing and/or stochastic computing are demonstrated. The results show that some emerging computing paradigms are inherently robust, or can trade off computing accuracy for reliability, which provides the designers with much more flexibility. It also indicates that emerging computing paradigms are very promising for circuit design with ultimately scaled CMOS and beyond CMOS devices.
URI http://hdl.handle.net/20.500.11897/618968
ISBN 978-1-7281-6893-7
ISSN 1541-7026
DOI 10.1109/IRPS46558.2021.9405167
Indexed CPCI-S(ISTP)
Appears in Collections: 信息科学技术学院

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