博士论文答辩：面向低开销与高准确度的随机计算电路分析与优化
日期：2023/05/23 - 2023/05/23
博士论文答辩：面向低开销与高准确度的随机计算电路分析与优化
主讲人：Kuncai Zhong, Ph.D. candidate at UM-SJTU Joint Institute
时间：2023年5月23日（周二）下午2:00
地点：密西根学院龙宾楼503会议室
讲座摘要
Stochastic computing (SC) is an unconventional computing paradigm and does computation on values encoded by stochastic bit streams. Based on the special encoding way, SC can generally lead to low-cost computation circuitry and high fault tolerance. It has emerged as a promising solution to design digital circuits in the post-Moore era, where an SC circuit typically consists of a randomizer to generate stochastic bit streams and an SC core to do computation based on them. However, recent SC circuit designs either have a low accuracy or high hardware cost. They usually need a complex randomizer to ensure a high accuracy, which increases the overall cost of the circuit and occupies most area. Furthermore, they are also generally sub-optimal due to the separate optimization of the randomizer and the SC core. To address these issues, this dissertation studies the analysis and design of low-cost high-accuracy SC circuits.
主讲人简介
Kuncai Zhong received his B.S. degree from Xi'an Jiaotong University in 2018. He has been working towards a Ph.D. degree since 2018 under supervision of Prof. Weikang Qian, Shanghai Jiao Tong University. He is interested in stochastic computing.