Optimizated allocation of data variables to pcm/dram-based hybrid main memory for real-time embedded systems

Zhu Wang, Zonghua Gu, Zili Shao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Phase-change memory (PCM) has many advantages compared to conventional DRAM, including nonvolatility, low static energy consumption, and high reliability. Its drawbacks include limited write-endurance and higher energy consumption for write operations. We consider a hybrid main memory consisting of PCM and DRAM at the same level of the memory hierarchy, and address the problem of partitioning and allocating data variables in a multitasking system to either memory type to minimize the energy consumption in the hyper-period while respecting the user-specified upper bounds on CPU utilization. We present an optimal integer linear programming (ILP) formulation and a heuristic algorithm with polynomial time complexity.
Original languageEnglish
Article number6825854
Pages (from-to)61-64
Number of pages4
JournalIEEE Embedded Systems Letters
Volume6
Issue number3
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Dram
  • Embedded systems
  • Phase-change memory (PCM)
  • Real-time scheduling

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

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