AWrite-friendly Arithmetic Coding Scheme for Achieving Energy-Efficient Non-Volatile Memory Systems

Yi Shen Chen, Chun Feng Wu, Yuan Hao Chang, Tei Wei Kuo

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

9 Scopus citations

Abstract

In the era of the Internet of Things (IoT), wearable IoT devices become popular and closely related to our life. Most of these devices are based on the embedded systems that have to operate on limited energy resources, such as batteries or energy harvesters. Therefore, energy efficiency is one of the critical issues for these devices. To relieve the energy consumption by reducing the total accesses on memory and storage layers, the technologies of storage-class memory (SCM) and data compression techniques are applied to eliminate the data movements and squeeze the data size, respectively. However, the information gap between them hinders the cooperation among the two techniques for achieving further optimizations on minimizing energy consumption. This work proposes a write-friendly arithmetic coding with joint managing both techniques to achieve energy-efficient non-volatile memory (NVM) systems. In particular, the concept of ignorable bits is introduced to further skip the write operations while storing the compressed data into SCM devices. The proposed design was evaluated by a series of intensive experiments, and the results are encouraging.

Original languageEnglish
Title of host publicationProceedings of the 26th Asia and South Pacific Design Automation Conference, ASP-DAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages633-638
Number of pages6
ISBN (Electronic)9781450379991
DOIs
StatePublished - 18 Jan 2021
Event26th Asia and South Pacific Design Automation Conference, ASP-DAC 2021 - Virtual, Online, Japan
Duration: 18 Jan 202121 Jan 2021

Publication series

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

Conference

Conference26th Asia and South Pacific Design Automation Conference, ASP-DAC 2021
Country/TerritoryJapan
CityVirtual, Online
Period18/01/2121/01/21

Keywords

  • Internet of Things
  • arithmetic coding
  • data compression
  • energy efficiency
  • non-volatile memory

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