内存计算处理器概览:从电路到应用

Wenyu Sun;Jinshan Yue;Yifan He;Zongle Huang;Jingyu Wang;Wenbin Jia;Yaolei Li;Luchang Lei;Hongyang Jia;Yongpan Liu
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引用次数: 0

摘要

随着大数据和人工智能(AI)应用的发展,内存计算(CIM)技术正在兴起。手稿以自下而上的视角,从电路到应用对现有的 CIM 作品进行了系统回顾。文中介绍了基于不同易失性/非易失性器件的各类 CIM 电路。图解了支持多位精度计算的微型 CIM 架构。随后,分析了几种处理器级 CIM 芯片,揭示了系统架构设计的注意事项。此外,还介绍了相应的 CIM 工具链和人工智能应用之外的应用。从电路到应用层面,本手稿分析了 CIM 处理器不同设计层次的设计权衡、依然存在的挑战以及未来可能的设计趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Computing-in-Memory Processor: From Circuit to Application
The computing-in-memory (CIM) technique is emerging with the evolvement of big data and artificial intelligence (AI) application. The manuscript presents a systematic review of existing CIM works in a bottom-up view from circuit to application. Various types of CIM circuits based on different volatile/nonvolatile devices are introduced. The micro CIM architectures are illustrated to support multibit precision computation. After that, several types of processor-level CIM chips are analyzed to reveal the system architecture design considerations. The corresponding CIM tool chains and applications beyond AI applications are also introduced. From circuit to application levels, this manuscript analyzes the design tradeoffs, remained challenges, and possible future design trends at different design hierarchies of CIM processors.
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