A Solution for High Availability Memory Access

Chunjing Gan, Bin Wang, Zhi Jie Wang, Huazhong Liu, Dingyu Yang, Jian Yin, Shiyou Qian, Song Guo

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

Nowadays, in-memory computing has plenty of applications like artificial intelligence, databases, machine learning, etc. These applications usually involve with the frequent access to memory. On the other hand, memory components typically become error-prone over time due to the increase of density and capacity. It is urgently important to develop solutions for high-availability memory access. Yet, existing solutions are either lack of flexibility, or consistently more expensive than native memory. To the end, this paper presents a solution called SC2M. It is a software-controlled, high-availability memory mirroring solution. Our solution can flexibly set the granularity of the memory areas for various levels. Furthermore, it can perform duplication of the user-defined data structures in a high-availability version. The systematic instruction-level granularity for memory duplication reduces the overheads for backup, and lowers the probability of data loss. Experiment results demonstrate the feasibility and superiorities of our solution.

Original languageEnglish
Pages122-137
Number of pages16
DOIs
Publication statusPublished - 2020
Event19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019 - Melbourne, Australia
Duration: 9 Dec 201911 Dec 2019

Conference

Conference19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019
CountryAustralia
CityMelbourne
Period9/12/1911/12/19

Keywords

  • Hardware virtualization
  • High availability
  • System architecutre

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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