Research on General-Purpose Brain-Inspired Computing Systems

作     者：渠鹏 纪兴龙 陈嘉杰 庞猛 李宇晨 刘晓义 张悠慧 Peng Qu;Xing-Long Ji;Jia-Jie Chen;Meng Pang;Yu-Chen Li;Xiao-Yi Liu;You-Hui Zhang

作者机构：Department of Computer Science and TechnologyTsinghua UniversityBeijing 100084China Department of Precision InstrumentTsinghua UniversityBeijing 100084China 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：2024年第39卷第1期

页      面：4-21页

核心收录：

学科分类：08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National Natural Science Foundation of China under Grant Nos.62250006,62072266,and 61836004 the National Natural Science Foundation of China Youth Fund under Grant No.62202254,Beijing National Research Center for Information Science and Technology under Grant No.BNR2022RC01003 the Tsinghua University Initiative Scientific Research Program the Suzhou-Tsinghua Innovation Leadership Program 

主　　题：brain-inspired computing neuromorphic chip compiler spiking neural network 

摘      要：Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial general intelligence(AGI),and a brain-inspired computing system is a hierarchical system composed of neuromorphic chips,basic software and hardware,and algorithms/applications that embody this *** the system is developing rapidly,it faces various challenges and opportunities brought by interdisciplinary research,including the issue of software and hardware *** paper analyzes the status quo of brain-inspired computing *** by some design principle and methodology of general-purpose computers,it is proposed to constructgeneral-purposebrain-inspired computing systems.A general-purpose brain-inspired computing system refers to a brain-inspired computing hierarchy constructed based on the design philosophy of decoupling software and hardware,which can flexibly support various brain-inspired computing applications and neuromorphic chips with different ***,this paper introduces our recent work in these aspects,including the ANN(artificial neural network)/SNN(spiking neural network)development tools,the hardware agnostic compilation infrastructure,and the chip micro-archi-tecture with high flexibility of programming and high performance;these studies show that thegeneral-purposesystem can remarkably improve the efficiency of application development and enhance the productivity of basic software,thereby being conductive to accelerating the advancement of various brain-inspired algorithms and *** believe that this is the key to the collaborative research and development,and the evolution of applications,basic software and chips in this field,and conducive to building a favorable software/hardware ecosystem of brain-inspired computing.