Exploring Partitions Based on Search Space Smoothing for Heterogeneous Multiprocessor System
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概要
- 論文の詳細を見る
Programming the multiprocessor system-on-chip (MPSoC) requires partitioning the sequential reference programs onto multiple processors running in parallel. However, designers still need to partition the code manually due to the lack of automated partition techniques. To settle this issue, this paper proposes a partition exploration algorithm based on the search space smoothing techniques, and implements the proposed method using a commercial extensible processor (Xtensa LX2 processor from Tensilica Inc.). We have verified the feasibility of the algorithm by implementing the MPEG2 benchmark on the Xtensa-based two-processor system. The final experimental results indicate a performance improvement of at least 1.6×compared to the single-processor system.
- (社)電子情報通信学会の論文
- 2008-09-01
著者
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GOTO Satoshi
Graduate School of Information, Production and Systems, Waseda University
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Goto Satoshi
Waseda Univ. Jpn
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ZHAO Kang
EDA lab, Department of Computer Science and Technology, Tsinghua University
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BIAN Jinian
EDA lab, Department of Computer Science and Technology, Tsinghua University
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DONG Sheqin
EDA lab, Department of Computer Science and Technology, Tsinghua University
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SONG Yang
Graduate School of Information, Production and Systems, Waseda University
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Song Yang
Graduate School Of Ips Waseda University
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Song Yang
Graduate School Of Information Production And Systems Waseda University
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Goto Satoshi
Graduate School Of Information Production And System Waseda University
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Bian Jinian
Eda Lab Department Of Computer Science And Technology Tsinghua University
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Zhao Kang
Eda Lab Department Of Computer Science And Technology Tsinghua University
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Dong Sheqin
Eda Lab Department Of Computer Science And Technology Tsinghua University
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Zhao Kang
Eda Lab Dep. Of Computer Sci. And Technol. Tsinghua Univ.
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Bian Jinian
Eda Lab Dep. Of Computer Sci. And Technol. Tsinghua Univ.
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Goto Satoshi
Graduate School of Infomlation Production and Systems Waseda University
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