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Optimal multi-core processors for fast discrete cosine transform

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4 Author(s)
Yongmin Kim ; Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea ; Myeongsu Kang ; Cheolhong Kim ; Jong-Myon Kim

This paper explores optimal multi-core processors for FDCT (fast discrete cosine transform), which is a kernel of JPEG image compression, by evaluating the effect of different numbers of processors and memories for a fixed image size in terms of area efficiency and energy efficiency. The different numbers of processors and memories have significant impacts on the overall area and energy efficiencies of the computational multi-core processors. Experimental results using six different processing element (PE) configurations indicated that PEs=4,096 and PEs=1,024 yield the highest area efficiency and energy efficiency, respectively.

Published in:

Strategic Technology (IFOST), 2011 6th International Forum on  (Volume:2 )

Date of Conference:

22-24 Aug. 2011