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    SIGSOFT
    2007
    ACM
    117views Software Engineering» more  SIGSOFT 2007»
    State space exploration using feedback constraint generation and Monte-Carlo sampling
    14 years 8 months ago
    State space exploration using feedback constraint generation and Monte-Carlo sampling
    Download  www.nec-labs.com
    The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
    Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
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    HPCA
    2008
    IEEE
    198views Distributed And Parallel Com...» more  HPCA 2008»
    Automated microprocessor stressmark generation
    14 years 8 months ago
    Automated microprocessor stressmark generation
    Download  lca.ece.utexas.edu
    Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
    Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
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    SIGMOD
    2012
    ACM
    212views Database» more  SIGMOD 2012»
    Local structure and determinism in probabilistic databases
    11 years 10 months ago
    Local structure and determinism in probabilistic databases
    Download  linqs.cs.umd.edu
    While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
    Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
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    CIDR
    2003
    106views Algorithms» more  CIDR 2003»
    Speculative Query Processing
    13 years 9 months ago
    Speculative Query Processing
    Download  www-db.cs.wisc.edu
    Speculation is an every day phenomenon whereby one acts in anticipation of particular conditions that are likely to hold in the future. Computer science research has seen many suc...
    Neoklis Polyzotis, Yannis E. Ioannidis
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    KDD
    2009
    ACM
    198views Data Mining» more  KDD 2009»
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    14 years 8 months ago
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    Download  www.pervasivedatarush.com
    All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
    Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
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