Nonvolatile main memory aware garbage collection in high-level language virtual machine

Chen Pan, Mimi Xie, Chengmo Yang, Zili Shao, Jingtong Hu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


Non-volatile memories (NVMs) such as Phase Change Memory (PCM) have been considered as promising candidates of next generation main memory for embedded systems due to their attractive features. These features include low power, high density, and better scalability. However, most existing NVMs suffer from two drawbacks, namely, limited write endurance and expensive write operation in terms of both time and energy. These problems are worsen when modern high-level languages employ virtual machine with garbage collector that generates a large amount of extra writes on non-volatile main memory. To tackle this challenge, this paper proposes three techniques: Living Objects Remapping (LORE), Dead Object Stamping (DOS), and Smart Wiping with Maximum Likelihood Estimation (SMILE) to reduce the unnecessary writes when garbage collector handles objects. The experimental results show that the proposed techniques not only significantly reduce the writes during each garbage collection cycle but also greatly improve the performance of virtual machine.
Original languageEnglish
Title of host publication2015 Proceedings of the International Conference on Embedded Software, EMSOFT 2015
Number of pages10
ISBN (Electronic)9781467380799
Publication statusPublished - 4 Nov 2015
Event13th International Conference on Embedded Software, EMSOFT 2015 - Movenpick Hotel Amsterdam City Center, Amsterdam, Netherlands
Duration: 4 Oct 20159 Oct 2015


Conference13th International Conference on Embedded Software, EMSOFT 2015


  • Maximum likelihood estimation
  • Memory management
  • Nonvolatile memory
  • Random access memory
  • System performance
  • Virtual machining

ASJC Scopus subject areas

  • Software

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