Endurance-Limited Memories with Informed Decoder

Yeow Meng Chee, Michal Horovitz, Alexander Vardy, Van Khu Vu, Eitan Yaakobi

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

Abstract

Non-volatile resistive memories, such as phase change memories and resistive random access memories, have attracted significant attention recently due to their scalability, speed, and rewritability. However, in order to use these memories in large-scale memory and storage systems, the limited endurance deficiency of these memories must be addressed. In a recent paper, we proposed a new coding scheme, called endurance-limited memories (ELM) codes, which increases the endurance of these memories by limiting the number of cell programming operations. Namely, an l-change t-write ELM code is a coding scheme that allows to write t messages into some n binary cells while guaranteeing that the number of times each cell is programmed is at most l. There are several models of these codes which depend upon the information that is available to the encoder and the decoder before each write. This information can be one of the following three options: 1. the number of times each cell has been programmed, 2. only the memory state before programming, or 3. no information is available on the cells' state or previous writes. In this paper, we study the models in which the decoder knows on each write the number of times each cell has been programmed before the last write, while for the encoder we consider the aforementioned three possibilities.

Original languageEnglish
Title of host publication2019 IEEE Information Theory Workshop, ITW 2019
ISBN (Electronic)9781538669006
DOIs
StatePublished - Aug 2019
Event2019 IEEE Information Theory Workshop, ITW 2019 - Visby, Sweden
Duration: 25 Aug 201928 Aug 2019

Publication series

Name2019 IEEE Information Theory Workshop, ITW 2019

Conference

Conference2019 IEEE Information Theory Workshop, ITW 2019
Country/TerritorySweden
CityVisby
Period25/08/1928/08/19

All Science Journal Classification (ASJC) codes

  • Software
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Information Systems

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