Low power multi-context look-up table (LUT) using spin-torque transfer magnetic RAM for non-volatile FPGA

Kyungseon Cho, Seungjin Lee, Choongkeun Lee, Taegun Yim, Hongil Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The conventional magnetic RAM (MRAM) LUTs for non-volatile field programmable gate arrays (FPGA) have excellent overall power characteristics for read and static modes but sufficient reliability of data operation has not been met due to the large process variations in the cell process technology. The novel MRAM LUT proposed in this paper can serve to enhance the reliability, reduce the power significantly and reduce implementation size by structuring multi-context in a single MRAM LUT. In an efficient manner, based on the output transition rate of 15%, the proposed 6-input MRAM LUT with 8-context shows 49.6% smaller power consumption and 18.1% smaller area compared to those of the 8 6-input SRAM LUTs.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2017, ISOCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-108
Number of pages2
ISBN (Electronic)9781538622858
DOIs
Publication statusPublished - 2018 May 29
Event14th International SoC Design Conference, ISOCC 2017 - Seoul, Korea, Republic of
Duration: 2017 Nov 52017 Nov 8

Publication series

NameProceedings - International SoC Design Conference 2017, ISOCC 2017

Other

Other14th International SoC Design Conference, ISOCC 2017
Country/TerritoryKorea, Republic of
CitySeoul
Period17/11/517/11/8

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

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

Fingerprint

Dive into the research topics of 'Low power multi-context look-up table (LUT) using spin-torque transfer magnetic RAM for non-volatile FPGA'. Together they form a unique fingerprint.

Cite this