Sensor-Based Approximate Adder Design for Accelerating Error-Tolerant and Deep-Learning Applications

Ning Chi Huang, Szu Ying Chen, Kai-Chiang Wu

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

Approximate computing is an emerging strategy which trades computational accuracy for computational cost in terms of performance, energy, and/or area. In this paper, we propose a novel sensor-based approximate adder for highperformance energy-efficient arithmetic computation, while considering the accuracy requirement of error-tolerant applications. This is the first work using in-situ sensors for approximate adder design, based on monitoring online transition activity on the carry chain and speculating on carry propagation/truncation. On top of a fully-optimized ripple-carry adder, the performance of our adder is enhanced by 2.17X. When applied in error-tolerant applications such as image processing and handwritten digit recognition, our approximate adder leads to very promising quality of results compared to the case when an accurate adder is used.

原文English
主出版物標題Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面692-697
頁數6
ISBN(電子)9783981926323
DOIs
出版狀態Published - 14 5月 2019
事件22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 - Florence, Italy
持續時間: 25 3月 201929 3月 2019

出版系列

名字Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019

Conference

Conference22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
國家/地區Italy
城市Florence
期間25/03/1929/03/19

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