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IEICE TRANSACTIONS on Fundamentals

Exploring Partitions Based on Search Space Smoothing for Heterogeneous Multiprocessor System

Kang ZHAO, Jinian BIAN, Sheqin DONG, Yang SONG, Satoshi GOTO

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Summary :

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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.9 pp.2456-2464
Publication Date
2008/09/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e91-a.9.2456
Type of Manuscript
Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category
Electronic Circuits and Systems

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