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2011 International Conference on Parallel Processing
Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems
Taipei City, Taiwan
September 13-September 16
ISBN: 978-0-7695-4510-3
| ASCII Text | x | ||
| Yibo Guo, Qingfeng Zhuge, Jingtong Hu, Meikang Qiu, Edwin H.-M. Sha, "Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems," 2012 41st International Conference on Parallel Processing, pp. 464-471, 2011 International Conference on Parallel Processing, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/ICPP.2011.79, author = {Yibo Guo and Qingfeng Zhuge and Jingtong Hu and Meikang Qiu and Edwin H.-M. Sha}, title = {Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems}, journal ={2012 41st International Conference on Parallel Processing}, volume = {0}, year = {2011}, issn = {0190-3918}, pages = {464-471}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPP.2011.79}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 41st International Conference on Parallel Processing TI - Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems SN - 0190-3918 SP464 EP471 A1 - Yibo Guo, A1 - Qingfeng Zhuge, A1 - Jingtong Hu, A1 - Meikang Qiu, A1 - Edwin H.-M. Sha, PY - 2011 KW - SPM KW - Data Allocation KW - Multi-core VL - 0 JA - 2012 41st International Conference on Parallel Processing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2011.79
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.
Index Terms:
SPM, Data Allocation, Multi-core
Citation:
Yibo Guo, Qingfeng Zhuge, Jingtong Hu, Meikang Qiu, Edwin H.-M. Sha, "Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems," icpp, pp.464-471, 2011 International Conference on Parallel Processing, 2011
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