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    » An Annotation-Based Framework for Parallel Computing
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    WOTUG
    2008
    113views Computer Science» more  WOTUG 2008»
    Process-Oriented Collective Operations
    13 years 8 months ago
    Process-Oriented Collective Operations
    Download  www.cosmos-research.org
    Abstract. Distributing process-oriented programs across a cluster of machines requires careful attention to the effects of network latency. The MPI standard, widely used for cluste...
    John Markus Bjørndalen, Adam T. Sampson
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    APPINF
    2003
    222views Information Technology» more  APPINF 2003»
    Hardware Impact on Communication Performance of Beowulf LINUX Cluster
    13 years 8 months ago
    Hardware Impact on Communication Performance of Beowulf LINUX Cluster
    Download  www.rdcps.ac.cn
    There exist a lot of models of parallel computation, amongst which LogP and LogGP are famous and suitable to describe the framework of communication process of Beowulf LINUX Clust...
    Yuan Tang, Yun-Quan Zhang, Jia-Chang Sun, Yu-Cheng...
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    BMCBI
    2010
    109views more  BMCBI 2010»
    FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
    13 years 7 months ago
    FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
    Download  www.cse.sc.edu
    Background: Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data. Th...
    Stephanie Zierke, Jason D. Bakos
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    CGF
    2008
    168views more  CGF 2008»
    Interactive Global Illumination for Deformable Geometry in CUDA
    13 years 7 months ago
    Interactive Global Illumination for Deformable Geometry in CUDA
    Download  www.graphics.rwth-aachen.de
    Interactive global illumination for fully deformable scenes with dynamic relighting is currently a very elusive goal in the area of realistic rendering. In this work we propose a ...
    Arne Schmitz, Markus Tavenrath, Leif Kobbelt
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    TNN
    2008
    138views more  TNN 2008»
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    13 years 7 months ago
    A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
    Download  www.ece.utk.edu
    This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
    Zhenzhen Liu, Itamar Elhanany
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