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    » Simulating Materials with Strong Correlations on BlueGene L
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    PARCO
    2007
    97views Distributed And Parallel Com...» more  PARCO 2007»
    Simulating Materials with Strong Correlations on BlueGene/L
    13 years 6 months ago
    Simulating Materials with Strong Correlations on BlueGene/L
    Download  www.fz-juelich.de
    Andreas Dolfen, Yuan Lung Luo, Erik Koch
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    IPPS
    2010
    IEEE
    126views Distributed And Parallel Com...» more  IPPS 2010»
    Parallelization of DQMC simulation for strongly correlated electron systems
    13 years 2 months ago
    Parallelization of DQMC simulation for strongly correlated electron systems
    Download  www.cs.ucdavis.edu
    Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
    Che-Rung Lee, I-Hsin Chung, Zhaojun Bai
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    CODES
    2005
    IEEE
    156views Software Engineering» more  CODES 2005»
    Blue matter on blue gene/L: massively parallel computation for biomolecular simulation
    13 years 10 months ago
    Blue matter on blue gene/L: massively parallel computation for biomolecular simulation
    Download  www.cecs.uci.edu
    This paper provides an overview of the Blue Matter application development effort within the Blue Gene project that supports our scientific simulation efforts in the areas of pro...
    Robert S. Germain, Blake G. Fitch, Aleksandr Raysh...
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    IJHPCA
    2008
    131views more  IJHPCA 2008»
    De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers
    13 years 4 months ago
    De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers
    Download  cacs.usc.edu
    We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and ...
    Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, ...
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    BMCBI
    2007
    120views more  BMCBI 2007»
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
    13 years 4 months ago
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
    Download  www.biomedcentral.com
    Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
    Xin Lu, David L. Perkins
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