Gene Cheung and Steven McCanne

EECS Department, University of California, Berkeley

Technical Report No. UCB/CSD-99-1085

, 1999

The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in a machine dependent fashion. In this paper, we present design and analysis of an automated algorithm optimizer for scalar and vector quantizer encoders. Using a dynamic memory model, the optimal computation-memory tradeoff is exploited to minimize the encoding time. Experiments show our proposed optimized algorithm has marked improvements over existing techniques.

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BibTeX citation:

@techreport{Cheung:CSD-99-1085,
    Author= {Cheung, Gene and McCanne, Steven},
    Title= {Dynamic Memory Model based Optimization of Scalar and Vector Quantizer Encoder},
    Year= {1999},
    Month= {Feb},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/6231.html},
    Number= {UCB/CSD-99-1085},
    Abstract= {The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in a machine dependent fashion. In this paper, we present design and analysis of an automated algorithm optimizer for scalar and vector quantizer encoders. Using a dynamic memory model, the optimal computation-memory tradeoff is exploited to minimize the encoding time. Experiments show our proposed optimized algorithm has marked improvements over existing techniques.},
}

EndNote citation:

%0 Report
%A Cheung, Gene 
%A McCanne, Steven 
%T Dynamic Memory Model based Optimization of Scalar and Vector Quantizer Encoder
%I EECS Department, University of California, Berkeley
%D 1999
%@ UCB/CSD-99-1085
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/6231.html
%F Cheung:CSD-99-1085