@inproceedings{88c31e1c38cb498c995c14fd26d232c6,
title = "RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device",
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.",
keywords = "Domain wall motion, in-memory processing platform., spin Hall effect (SHE)",
author = "Shaahin Angizi and Zhezhi He and Farhana Parveen and Deliang Fan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 ; Conference date: 03-07-2017 Through 05-07-2017",
year = "2017",
month = jul,
day = "20",
doi = "10.1109/ISVLSI.2017.18",
language = "English (US)",
series = "Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI",
publisher = "IEEE Computer Society",
pages = "45--50",
editor = "Ricardo Reis and Mircea Stan and Michael Huebner and Nikolaos Voros",
booktitle = "Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017",
}