Low-Power Cooling Codes with Efficient Encoding and Decoding

Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy, Hengjia Wei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A class of low-power cooling (LPC) codes, to control simultaneously both the peak temperature and the average power consumption of interconnects, were introduced recently. An (n, t, w)-LPC code is a coding scheme over n wires that (A) avoids state transitions on the t hottest wires (cooling), and (B) limit the number of transitions to w in each transmission (low-power). A few constructions for large LPC codes that have efficient encoding and decoding schemes, are given. In particular, when w is fixed, we construct LPC codes of size (n/w)^{w-1} and show that these LPC codes can be modified to correct errors efficiently. We further present a construction for large LPC codes based on a mapping from cooling codes to LPC codes.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
PublisherInstitute of Electrical and Electronics Engineers
Pages1655-1659
Number of pages5
ISBN (Print)9781538647806
DOIs
StatePublished - 15 Aug 2018
Externally publishedYes
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: 17 Jun 201822 Jun 2018

Publication series

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

Conference

Conference2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/TerritoryUnited States
CityVail
Period17/06/1822/06/18

ASJC Scopus subject areas

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

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