Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Pages982-989
Publication statusPublished - 2012

Conference

Title2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
PlaceChina
CityShanghai
Period21 - 25 May 2012

Abstract

The recent emergence of various Non-Volatile Memories (NVMs), with many attractive characteristics such as low leakage power and high-density, provides us with a new way of addressing the memory power consumption problem. In this paper, we target embedded CMPs, and propose a novel Hybrid Scratch Pad Memory (HSPM) architecture which consists of SRAM and NVM to take advantage of the ultra-low leakage power, high density of NVM and fast read of SRAM. A novel data allocation algorithm as well as an algorithm to determine NVM/SRAM ratio for the novel HSPM architecture are proposed. The experimental results show that the data allocation algorithm can reduce the memory access time by 31.22% and the dynamic energy consumption by 15.35% on average for the HSPM architecture when compared with a greedy algorithm. © 2012 IEEE.

Research Area(s)

  • Data allocation, energy, MRAM, NVM, on-chip memory, PCM, SPM

Citation Format(s)

Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs. / Hu, Jingtong; Zhuge, Qingfeng; Xue, Chun Jason et al.
Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. 2012. p. 982-989 6270745.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review