NDLI: Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems

Content Provider	IEEE Xplore Digital Library
Author	Yibo Guo Qingfeng Zhuge Jingtong Hu Meikang Qiu Sha, E.H.-M.
Copyright Year	2011
Abstract	Multi-core systems have been a popular design for high-performance embedded systems. Scratch Pad Memory (SPM), a software-controlled on-chip memory, has been widely adopted in many embedded systems due to its small area and low energy consumption. Existing data allocation algorithms either cannot achieve optimal results or take exponential time to complete. In this paper, we propose one polynomial-time algorithms to solve the data allocation problem on multi-core system with exclusive data copy. According to the experimental results, the proposed optimal data allocation method alone reduces time cost of memory accesses by 16.45\% on average compared with greedy algorithm. The proposed data allocation algorithm also can reduce the energy cost significantly.
Starting Page	464
Ending Page	471
File Size	304874
Page Count	8
File Format	PDF
ISBN	9781457713361
ISSN	01903918
DOI	10.1109/ICPP.2011.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-13
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Integrated circuits Multicore processing Heuristic algorithms Dynamic programming Dynamic scheduling Multi-core SPM Data Allocation
Content Type	Text
Resource Type	Article

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Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems