AIsim: Functional Simulator for Analog-to-Information Perceptual Systems

Hong Liu, Zheyu Liu, Fei Qiao, Po-Hung Lin, Qi Wei, Huazhong Yang

研究成果: Conference contribution同行評審

摘要

Neural network accelerators have been extensively studied for artificial intelligent applications for recent years. Analogto-information systems (AIS), which could accelerate neural network computation in analog domain, are considered as one better alternative for achieving higher scalability and energy efficiency. Unlike operating in the digital domain, an AIS adopts analog computing units to construct the whole neural network for perceptual tasks. However, when designing an AIS, conventional HSPICE simulation is very time-consuming. In order to improve the design capacity, this paper presents a functional simulator, called AIsim for AIS. AIsim could efficiently simulate the noise characteristics in AIS while processing neural network algorithms. In particular, it could also guide the designers to explore the design space of analog computing units with various signal-to-noise ratio (SNR). Compared with conventional HSPICE simulator, AIsim can achieve more than 2000X simulation speedup with 2% results difference at most, for some typical benchmarks.

原文English
主出版物標題Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
編輯Ricardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
發行者IEEE Computer Society
頁面507-512
頁數6
ISBN(電子)9781509067626
DOIs
出版狀態Published - 20 七月 2017
事件2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 - Bochum, North Rhine-Westfalia, Germany
持續時間: 3 七月 20175 七月 2017

出版系列

名字Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
2017-July
ISSN(列印)2159-3469
ISSN(電子)2159-3477

Conference

Conference2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
國家Germany
城市Bochum, North Rhine-Westfalia
期間3/07/175/07/17

指紋 深入研究「AIsim: Functional Simulator for Analog-to-Information Perceptual Systems」主題。共同形成了獨特的指紋。

引用此