25-RISC-V中国峰会英文版-20230825终版.pdf

1、Ubiquitous Intelligent Computing on RISC-V:Challenges,Methods and ToolsPresenter：Prof.Xichuan ZhouChair of AI-ML SIGCONTENTSl Background Informationl Challenges of Ubiquitous Intelligent Researchesl Ubiquitous Intelligent Computing:Technology and Software3Background|Our TeamUbiquitous Intelligent Co

2、mputing:Algorithms,AI chips&Software Tools ResearchNearly 400P domestic AI computing power,ranking 2nd nationwide and 1st in the west.Affiliation:Institute of Science on Brain Inspired Intelligence&College of Microelectronics and Communication Engineering,Chongqing University,120 faculties,500+maste

3、r and phd students AICC Center:Chongqing Artificial Intelligence Innovation Center,300+TOPs for AI TrainingThank Youl 曾Background|Personal InformationChair of RISC-V AI/ML SIGLeading to promote global RISC-V AI hardware&software research and standardizationDirector of the Institute of Science on Bra

4、in Inspired Intelligence in Chongqing UniversityDean of School of Microelectronics and Communication Engineering,Chongqing UniversityOutstanding Scientist of Chinese Institute of ElectronicsProf.Xichuan ZhouWelcome to Join RISC-V AI/ML SIGuParticipate in international and industrial standardization

5、of embedded AI technology,and promote ecological development of AI chipsStart 3 study groups on emerging technologies (AutoML SG,SNN SG，Matrix Multiply Extension SG)Charter (https:/ for AI:Organizing global research,development and evaluation of RISC-V ISA extensions for AI/ML acceleration；AI Softwa

6、re:Optimize a full software stack especially graph compiler to translate ONNX graph models to RISC-V architecture to support portability of ML,AI and NLP applications；Systems&Applications:Specify the benchmarks,performance metrics,and the evaluation methodology that will be used to track performance