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

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

10 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
页	982-989
页数	8
DOI	https://doi.org/10.1109/IPDPSW.2012.120
出版状态	已出版 - 2012
已对外发布	是
活动	2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 - Shanghai, 中国期限: 21 5月 2012 → 25 5月 2012

出版系列

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

会议

会议	2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
国家/地区	中国
市	Shanghai
时期	21/05/12 → 25/05/12

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/IPDPSW.2012.120

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 (页码 982-989). 文章 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 等. / 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. 页码 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. 在 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, 页码 982-989, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012, Shanghai, 中国, 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 等.
Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. 2012. 页码 982-989 6270745 (Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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.

KW - Data allocation

KW - MRAM

KW - NVM

KW - PCM

KW - SPM

KW - energy

KW - on-chip memory

UR - https://www.scopus.com/pages/publications/84867406972

U2 - 10.1109/IPDPSW.2012.120

DO - 10.1109/IPDPSW.2012.120

M3 - 会议稿件

AN - SCOPUS:84867406972

SN - 9780769546766

T3 - Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012

SP - 982

EP - 989

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

T2 - 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012

Y2 - 21 May 2012 through 25 May 2012

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

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此