AIMCU-MESO: An In-Memory Computing Unit Constructed by MESO Device

Author:

Zeng Junwei1ORCID,Xu Nuo2ORCID,Chen Yabo1ORCID,Huang Chenglong1ORCID,Li Zhiwei3ORCID,Fang Liang1ORCID

Affiliation:

1. Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, China

2. College of Computer, National University of Defense Technology and Wuhan National Laboratory for Optoelectronics, Wuhan, China

3. College of Electronic Science and Technology, National University of Defense Technology, China

Abstract

Traditional CMOS-based von-Neumann computer architecture faces the issue of memory wall that the limitation of bus-bandwidth and the speed mismatch between processor and memory restrict the efficiency of data processing along with an irreducible energy consumption conducted by data movement, especially in some data-intensive applications. Recently, some novel in-memory computing (IMC) paradigms developed by utilizing the characteristics of different non-volatile memories provide promising ways to overcome the bottleneck of memory wall. Here, we propose a new IMC unit based on a memory array with the core element of magnetoelectric spin-orbit logic (MESO) device (AIMCU-MESO), in which the characteristics of the MESO device are exploited to achieve several in-memory logic operations with the functions of NAND, NOR, and XOR in the MESO-based memory array. With the aid of some transistor-based switches, these logic operations can be achieved between any two MESOs in the array. Furthermore, the computing process of a 1-bit full adder (FA) is achieved in AIMCU-MESO by the in-memory logic manner to demonstrate the ability of logic cascading. The result of SPICE simulation for achieving the 1-bit FA using MESO devices is demonstrated, and the performances are compared with other designs of spintronics-based devices. Compared to multilevel voltage-controlled spin-orbit torque–based magnetic memory, the proposed design demonstrates 71.4% and 49.2% reductions in terms of storage delay and logic delay, respectively.

Funder

National Natural Science Foundation of China

Research Foundation from National University of Defense Technology

Open Project Program of Wuhan National Laboratory for Optoelectronics

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

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