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

Jingtong Hu; Qingfeng Zhuge; Chun Jason Xue; Wei Che Tseng; Edwin H.M. Sha

doi:10.1109/IPDPSW.2012.120

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

Jingtong Hu^*
, Qingfeng Zhuge
, Chun Jason Xue
, Wei Che Tseng
, Edwin H.M. Sha

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Pages	982-989
Number of pages	8
DOIs	https://doi.org/10.1109/IPDPSW.2012.120
State	Published - 2012
Externally published	Yes
Event	2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 - Shanghai, China Duration: 21 May 2012 → 25 May 2012

Publication series

Name	Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012

Conference

Conference	2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Country/Territory	China
City	Shanghai
Period	21/05/12 → 25/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data allocation
MRAM
NVM
PCM
SPM
energy
on-chip memory

Access to Document

10.1109/IPDPSW.2012.120

Cite this

Hu, J., Zhuge, Q., Xue, C. J., Tseng, W. C., & Sha, E. H. M. (2012). Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 (pp. 982-989). Article 6270745 (Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012). https://doi.org/10.1109/IPDPSW.2012.120

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

@inproceedings{481759dc50d94728a23473cfe1bb9d4e,

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

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.",

keywords = "Data allocation, MRAM, NVM, PCM, SPM, energy, on-chip memory",

author = "Jingtong Hu and Qingfeng Zhuge and Xue, \{Chun Jason\} and Tseng, \{Wei Che\} and Sha, \{Edwin H.M.\}",

year = "2012",

doi = "10.1109/IPDPSW.2012.120",

language = "英语",

isbn = "9780769546766",

series = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",

pages = "982--989",

booktitle = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",

note = "2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 ; Conference date: 21-05-2012 Through 25-05-2012",

}

Hu, J, Zhuge, Q, Xue, CJ, Tseng, WC & Sha, EHM 2012, Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs. in Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012., 6270745, Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012, pp. 982-989, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012, Shanghai, China, 21/05/12. https://doi.org/10.1109/IPDPSW.2012.120

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 (Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs

AU - Hu, Jingtong

AU - Zhuge, Qingfeng

AU - Xue, Chun Jason

AU - Tseng, Wei Che

AU - Sha, Edwin H.M.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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KW - MRAM

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KW - energy

KW - on-chip memory

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ER -

Hu J, Zhuge Q, Xue CJ, Tseng WC, Sha EHM. Optimizing data allocation and memory configuration for non-volatile memory based hybrid SPM on embedded CMPs. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. 2012. p. 982-989. 6270745. (Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012). doi: 10.1109/IPDPSW.2012.120

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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