IMCS2: Novel Device-to-Architecture Co-Design for Low-Power In-Memory Computing Platform Using Coterminous Spin Switch

Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Spin switch (SS) is a promising spintronic device which exhibits compactness, low power, non-volatility, input-output isolation leveraging giant spin Hall effect, spin transfer torque, and dipolar coupling. In this paper, we propose a novel device-to-architecture co-design for an in-memory computing platform using coterminous SS (IMCS2), which could simultaneously work as non-volatile memory and reconfigurable in-memory logic (AND/NAND, OR/NOR, and XOR/XNOR) without add-on logic circuits to memory chip. The computed logic output could be simply read out like a normal magnetic random access memory bit cell using the shared memory peripheral circuits. Such intrinsic in-memory logic could be used to process data within memory to greatly reduce power-hungry and long distance data communication in the conventional von Neumann computing system. The IMCS2-based in-memory bulk bitwise Boolean vector operation shows ∼9× energy saving and ∼3× speedup compared with that of DRAM-based in-memory computing platform. We further employ in-memory multiplication to evaluate the performance of the proposed in-memory computing platform for vector-vector multiplication with different vector sizes.

Original languageEnglish (US)
Article number1400314
JournalIEEE Transactions on Magnetics
Volume54
Issue number7
DOIs
StatePublished - Jul 2018

Keywords

  • Giant spin Hall effect (GSHE)
  • in-memory computing
  • memory architecture
  • reconfigurable logic
  • spin switch (SS)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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