忆阻器:大数据内存计算架构的推动者

S. Hamdioui, M. Taouil, Hoang Anh Du Nguyen, Adib Haron, Lei Xie, K. Bertels
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引用次数: 17

摘要

本文简要讨论了一种新的体系结构,内存计算(CIM)体系结构,用于特定的数据密集型应用;它是基于存储和计算在同一物理位置(交叉棒拓扑)的集成,并使用非易失性电阻开关技术(忆阻器件或忆阻器简称)代替CMOS技术。该架构具有将能量延迟积、计算效率和性能区域提高至少两个数量级的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memristor: the enabler of computation-in-memory architecture for big-data
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), for specific data-intensive applications; it is based on the integration of storage and computation in the same physical location (crossbar topology) and the use of non-volatile resistive-switching technology (memristive devices or memristors in short) instead of CMOS technology. The architecture has the potential of improving the energy-delay product, computing efficiency and performance area by at least two orders of magnitude.
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