Beyond convolutional neural networks computing:New trends on ISSCC 2023 machine learning chips  

作　　者：Chen Mu Jiapei Zheng Chixiao Chen 

机构地区：[1]State Key Laboratory of Integrated Chips and Systems,Frontier Institute of Chips and Systems,Fudan University,Shanghai 200433,China [2]Qizhi Institute,Shanghai 200232,China

出　　处：《Journal of Semiconductors》2023年第5期9-12,共4页半导体学报（英文版）

基　　金：supported by the National Key Research and Development Program of China(No.2022YFB4500100)。

摘　　要：Machine learning(ML)domain specific architectures(DSA)and chips have been prevailed in the past few years.These custom DSA designs outperform conventional general purposed architectures in terms of energy efficiency,processing latency and performance scalability.The data intensive nature of ML requires large amounts of processing power and memory access.Data flow architectures.

关 键 词：ISSCC networks NEURAL 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TN40[自动化与计算机技术—控制科学与工程]