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    AC
    2005
    Springer
    119views Software Engineering» more  AC 2005»
    Power Analysis and Optimization Techniques for Energy Efficient Computer Systems
    14 years 11 months ago
    Power Analysis and Optimization Techniques for Energy Efficient Computer Systems
    Download  academic.csuohio.edu
    Reducing power consumption has become a major challenge in the design and operation of today's computer systems. This chapter describes different techniques addressing this c...
    Wissam Chedid, Chansu Yu, Ben Lee
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    JCC
    2007
    151views more  JCC 2007»
    New parallel algorithm for MP2 energy gradient calculations
    14 years 11 months ago
    New parallel algorithm for MP2 energy gradient calculations
    Download  www.public.iastate.edu
    Abstract: A new parallel algorithm has been developed for calculating the analytic energy derivatives of full accuracy second order Møller-Plesset perturbation theory (MP2). Its m...
    Kazuya Ishimura, Peter Pulay, Shigeru Nagase
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    TVLSI
    1998
    81views more  TVLSI 1998»
    Maximum power estimation for CMOS circuits using deterministic and statistical approaches
    14 years 11 months ago
    Maximum power estimation for CMOS circuits using deterministic and statistical approaches
    Download  dit.upc.es
    — Excessive instantaneous power consumption may reduce the reliability and performance of VLSI chips. Hence, to synthesize circuits with high reliability, it is imperative to efï...
    Chuan-Yu Wang, Kaushik Roy
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    TSMC
    2002
    110views more  TSMC 2002»
    Complexity reduction for "large image" processing
    14 years 11 months ago
    Complexity reduction for "large image" processing
    Download  individual.utoronto.ca
    We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
    Nikhil R. Pal, James C. Bezdek
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    PR
    2007
    104views more  PR 2007»
    Optimizing resources in model selection for support vector machine
    14 years 11 months ago
    Optimizing resources in model selection for support vector machine
    Download  www.livia.etsmtl.ca
    Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
    Mathias M. Adankon, Mohamed Cheriet
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