SRAM Bit-line Swings Optimization using Generalized Waterfilling

Yongjune Kim, Mingu Kang, Lav R Varshney, Naresh R Shanbhag

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

Abstract

We propose an information-theoretic approach to optimize non-uniform bit-line swings for static random access memories (SRAMs). We formulate convex optimization problems whose objectives are to minimize energy (for low-power SRAMs), maximize speed (for high-speed SRAMs), and minimize energy-delay product for a given constraint on mean squared error of retrieved words. We show that these optimization problems can be interpreted as generalized water-filling including classical waterfilling, ground-flattening and water-filling, and sand-pouring and water-filling, respectively. Numerical results show that energy-optimal swing assignment reduces energy consumption by half at a peak signal-to-noise ratio of 30dB for an 8-bit accessed word.

Original languageEnglish (US)
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1670-1674
Number of pages5
ISBN (Print)9781538647806
DOIs
StatePublished - Aug 15 2018
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: Jun 17 2018Jun 22 2018

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-June
ISSN (Print)2157-8095

Other

Other2018 IEEE International Symposium on Information Theory, ISIT 2018
CountryUnited States
CityVail
Period6/17/186/22/18

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

Cite this

Kim, Y., Kang, M., Varshney, L. R., & Shanbhag, N. R. (2018). SRAM Bit-line Swings Optimization using Generalized Waterfilling. In 2018 IEEE International Symposium on Information Theory, ISIT 2018 (pp. 1670-1674). [8437564] (IEEE International Symposium on Information Theory - Proceedings; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2018.8437564