Hot-cold data filtering and management for PRAM based memory-storage unified system

Su Kyung Yoon, Kwang Su Jung, Xian Shu Li, Sung Min Lee, Shin Dug Kim

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

1 Citation (Scopus)

Abstract

Next generation non-volatile memory technologies draw attention recently as promising candidates for replacing conventional DRAM-based memory devices. By using the favorable features such as low energy consumption, non-volatility, and good scalability, the next generation non-volatile memory devices can replace conventional main memory and secondary storage layers. This paper proposes a hot-cold data filtering adapter with it management algorithm for the memory-storage unified system which uses phase change RAM (PRAM) devices. The proposed hot-cold data filtering adapter consisting of dual decoupled adaptive buffers can improve drawbacks of PRAM, such as slower read/write access latencies and limited life time compared to DRAM, enhance spatial/temporal localities, and optimize the data reusability by analyzing data access pattern. Experimental results show that the proposed architecture and its algorithm improves the miss rate by about 69.2% and write count is decreased by 96.4% compared with a uniform buffer of the same size.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1609-1614
Number of pages6
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 2017 Nov 27
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 2017 Oct 52017 Oct 8

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period17/10/517/10/8

Bibliographical note

Funding Information:
This research was partially supported by the Next- Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2015M3C4A7065522) and by an Industry-Academy joint research program between Samsung Electronics and Yonsei University.

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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