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    TPDS
    2010
    154views more  TPDS 2010»
    Adaptive Workload Prediction of Grid Performance in Confidence Windows
    13 years 4 months ago
    Adaptive Workload Prediction of Grid Performance in Confidence Windows
    Download  gridsec.usc.edu
    Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
    Yongwei Wu, Kai Hwang, Yulai Yuan, Weimin Zheng
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    BMCBI
    2006
    121views more  BMCBI 2006»
    Splice site identification using probabilistic parameters and SVM classification
    13 years 9 months ago
    Splice site identification using probabilistic parameters and SVM classification
    Download  www.biomedcentral.com
    Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
    A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
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    CF
    2010
    ACM
    206views Applied Computing» more  CF 2010»
    EXACT: explicit dynamic-branch prediction with active updates
    14 years 2 months ago
    EXACT: explicit dynamic-branch prediction with active updates
    Download  people.engr.ncsu.edu
    Branches that depend directly or indirectly on load instructions are a leading cause of mispredictions by state-of-the-art branch predictors. For a branch of this type, there is a...
    Muawya Al-Otoom, Elliott Forbes, Eric Rotenberg
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    HIPC
    2009
    Springer
    252views Distributed And Parallel Com...» more  HIPC 2009»
    A performance prediction model for the CUDA GPGPU platform
    13 years 7 months ago
    A performance prediction model for the CUDA GPGPU platform
    Download  cvit.iiit.ac.in
    The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
    Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 9 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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