Rethinking computer architectures and software systems for phase-change memory

Chengwen Wu, Guangyan Zhang, Keqin Li

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

With dramatic growth of data and rapid enhancement of computing powers, data accesses become the bottleneck restricting overall performance of a computer system. Emerging phase-change memory (PCM) is byte-addressable like DRAM, persistent like hard disks and Flash SSD, and about four orders of magnitude faster than hard disks or Flash SSDs for typical file system I/Os. The maturity of PCM from research to production provides a new opportunity for improving the I/O performance of a system. However, PCM also has some weaknesses, for example, long write latency, limited write endurance, and high active energy. Existing processor cache systems, main memory systems, and online storage systems are unable to leverage the advantages of PCM, and/or to mitigate PCM's drawbacks. The reason behind this incompetence is that they are designed and optimized for SRAM, DRAM memory, and hard drives, respectively, instead of PCM memory. There have been some efforts concentrating on rethinking computer architectures and software systems for PCM. This article presents a detailed survey and review of the areas of computer architecture and software systems that are oriented to PCM devices. First, we identify key technical challenges that need to be addressed before this memory technology can be leveraged, in the form of processor cache, main memory, and online storage, to build high-performance computer systems. Second, we examine various designs of computer architectures and software systems that are PCM aware. Finally, we obtain several helpful observations and propose a few suggestions on how to leverage PCM to optimize the performance of a computer system.

Original languageEnglish
Article number33
JournalACM Journal on Emerging Technologies in Computing Systems
Volume12
Issue number4
DOIs
Publication statusPublished - 2016 May

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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