RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
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引用次数: 29

Abstract

This paper presents a new Reconfigurable dualmode In-Memory Processing Architecture based on spin Hall effect-driven domain wall motion device called RIMPA. In this architecture, a portion of spintronic memory array can be reconfigured to either non-volatile memory or in-memory logic. Accordingly, computation can be performed within memory without long distance data transfer or large in-memory logic area overhead concerning conventional Von-Neumann or in-memory computing architecture, respectively. The device to architecture simulation results show that, with 17% area increase, RIMPA improves the operating energy by 72.2% as compared with the conventional non-volatile in-memory logic schemes. We show that the Advanced Encryption Standard (AES) algorithm which is widely used in secure big data storage, can be efficiently mapped to RIMPA with 68.8% and 20.8% energy saving in comparison to CMOS-ASIC and recent DW-AES implementations, respectively.
RIMPA:一种新的可重构双模内存处理架构,具有自旋霍尔效应驱动的畴壁运动器件
提出了一种基于自旋霍尔效应驱动的域壁运动器件RIMPA的可重构双模内存处理体系结构。在该体系结构中,自旋电子存储器阵列的一部分可以重新配置为非易失性存储器或内存逻辑。因此,计算可以在内存中执行,而不需要长距离数据传输,也不需要传统的冯-诺伊曼或内存计算体系结构的大量内存逻辑区域开销。器件对体系结构的仿真结果表明,与传统的非易失性内存逻辑方案相比,RIMPA的面积增加了17%,运行能量提高了72.2%。我们证明了在安全大数据存储中广泛使用的高级加密标准(AES)算法可以有效地映射到RIMPA,与CMOS-ASIC和最近的DW-AES实现相比,分别节能68.8%和20.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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