@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",
}
