Hielm: Highly Flexible In-Memory Computing Using Stt Mram

Abstract

In this paper we propose a Highly Flexible InMemory (HieIM) computing platform using STT MRAM, which can be leveraged to implement Boolean logic functions without sacrificing memory functionality. It could pre-process data within memory to further reduce power hungry long distance communication between memory and processing units as in Von-Neumann computing system. HieIM can implement all the Boolean logic functions (AND/NAND, OR/NOR, XOR/XNOR) between any two cells in the same memory array, thus overcoming the 'operand locality' problem in contemporary in-memory computing platform designs. To investigate the performance of HieIM, we test in-memory bulk bit-wise Boolean logic operations using different vector datasets, which shows ∼ 8x energy saving and ∼ 5x speedup compared to recent DRAM based in-memory computing platform. We further implement an in-memory data encryption engine design based on HieIM as another case study. With AES algorithm, it shows 51.5% and 68.9% lower energy consumption compared to CMOS-ASIC and CMOL based implementations, respectively.

Publication Date

2-20-2018

Publication Title

Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Volume

2018-January

Number of Pages

361-366

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ASPDAC.2018.8297350

Socpus ID

85045308287 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85045308287

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