内存计算的体系结构与实现研究

Rongkai Liu, Xiancheng Lin, Xiang Gao
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引用次数: 0

摘要

人工智能的快速发展和计算力发展的瓶颈推动了新的计算架构的出现。内存计算作为一种打破传统内存与计算分离的结构,被认为是突破计算力瓶颈的一种方法。本文介绍了内存计算体系结构设计的两个典型部分:IM-A和IM-P。并阐述了内存计算在各种存储介质中的实现。总结了内存计算在制造、设计和应用方面面临的挑战。内存计算的发展趋势主要是实现人工智能算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Architecture and Implementation of In-Memory Computing
The rapid growth of artificial intelligence and the bottleneck of computing force development have promoted the emergence of new computing architectures. In-memory computing, as a structure that breaks the traditional separation of memory and computing, is considered to be a method to break the bottleneck of computing force. This paper presents two typical parts of architecture design for in-memory computing, IM-A and IM-P. And it expounds the implementations of in-memory computing in various storage media. The challenges of in-memory computing in manufacture, design, and application are summarized. The development trend of in-memory computing is mainly to realize artificial intelligence algorithms.
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