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

机译:RIMPA:具有自旋霍尔效应驱动的域壁运动设备的新型可重新配置的双模式内存处理架构

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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.
机译:本文提出了一种基于自旋霍尔效应驱动的畴壁运动设备RIMPA的新型可重配置双模内存处理体系结构。在这种架构中,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中逻辑。因此,可以在存储器内执行计算而无需分别进行长距离数据传输或涉及常规的冯-诺依曼(Von-Neumann)或内存中计算架构的较大的内存中逻辑区域开销。从器件到体系结构的仿真结果表明,与传统的非易失性内存中逻辑方案相比,RIMPA的面积增加了17%,可将工作能量提高72.2%。我们证明,与CMOS-ASIC和最新的DW-AES实现相比,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,从而节省68.8 \%和20.8 \%的能源,分别。

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