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.