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(Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China;Department of Precision Instrument,Tsinghua University,Beijing 100084,China)

机构地区：[1]Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China [2]Department of Precision Instrument,Tsinghua University,Beijing 100084,China

出　　处：《Journal of Computer Science & Technology》2024年第1期4-21,共18页计算机科学技术学报（英文版）

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.

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 tech-nology.While the system is developing rapidly,it faces various challenges and opportunities brought by interdisciplinary research,including the issue of software and hardware fragmentation.This paper analyzes the status quo of brain-inspired computing systems.Enlightened by some design principle and methodology of general-purpose computers,it is proposed to construct"general-purpose"brain-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 architec-tures.Further,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 the"general-purpose"system 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 applications.We 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.

关 键 词：brain-inspired computing neuromorphic chip COMPILER spiking neural network 

分 类 号：TP38[自动化与计算机技术—计算机系统结构]