Artificial intelligence(AI)processes data-centric applications with minimal effort.However,it poses new challenges to system design in terms of computational speed and energy efficiency.The traditional von Neumann arc...Artificial intelligence(AI)processes data-centric applications with minimal effort.However,it poses new challenges to system design in terms of computational speed and energy efficiency.The traditional von Neumann architecture cannot meet the requirements of heavily datacentric applications due to the separation of computation and storage.The emergence of computing inmemory(CIM)is significant in circumventing the von Neumann bottleneck.A commercialized memory architecture,static random-access memory(SRAM),is fast and robust,consumes less power,and is compatible with state-of-the-art technology.This study investigates the research progress of SRAM-based CIM technology in three levels:circuit,function,and application.It also outlines the problems,challenges,and prospects of SRAM-based CIM macros.展开更多
堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代...堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代信息技术,研发了面向参建各方的堆石混凝土智能信息化施工技术与系统(Construction Information Modeling for RFC,CIM4R),重点解决堆石混凝土坝堆石入仓、高自密实性能混凝土浇筑、温控防裂以及层面处理等四条施工主线的实时监控、快速评价、报警预警和反馈控制等问题,以期实现相关工程的“提质-降本-增效”,为堆石混凝土坝智能建造技术的发展打下基础,推动我国下一代筑坝技术与新质生产力的发展。展开更多
基金the National Key Research and Development Program of China(2018YFB2202602)The State Key Program of the National Natural Science Foundation of China(NO.61934005)+1 种基金The National Natural Science Foundation of China(NO.62074001)Joint Funds of the National Natural Science Foundation of China under Grant U19A2074.
文摘Artificial intelligence(AI)processes data-centric applications with minimal effort.However,it poses new challenges to system design in terms of computational speed and energy efficiency.The traditional von Neumann architecture cannot meet the requirements of heavily datacentric applications due to the separation of computation and storage.The emergence of computing inmemory(CIM)is significant in circumventing the von Neumann bottleneck.A commercialized memory architecture,static random-access memory(SRAM),is fast and robust,consumes less power,and is compatible with state-of-the-art technology.This study investigates the research progress of SRAM-based CIM technology in three levels:circuit,function,and application.It also outlines the problems,challenges,and prospects of SRAM-based CIM macros.
文摘堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代信息技术,研发了面向参建各方的堆石混凝土智能信息化施工技术与系统(Construction Information Modeling for RFC,CIM4R),重点解决堆石混凝土坝堆石入仓、高自密实性能混凝土浇筑、温控防裂以及层面处理等四条施工主线的实时监控、快速评价、报警预警和反馈控制等问题,以期实现相关工程的“提质-降本-增效”,为堆石混凝土坝智能建造技术的发展打下基础,推动我国下一代筑坝技术与新质生产力的发展。
