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    » Improving Performance by Branch Reordering
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    IPPS
    2005
    IEEE
    125views Distributed And Parallel Com...» more  IPPS 2005»
    Control-Flow Independence Reuse via Dynamic Vectorization
    14 years 2 months ago
    Control-Flow Independence Reuse via Dynamic Vectorization
    Download  personals.ac.upc.edu
    Current processors exploit out-of-order execution and branch prediction to improve instruction level parallelism. When a branch prediction is wrong, processors flush the pipeline ...
    Alex Pajuelo, Antonio González, Mateo Valer...
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    NAACL
    2007
    133views Computational Linguistics» more  NAACL 2007»
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    13 years 10 months ago
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    Download  www.cs.rochester.edu
    We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
    Ding Liu, Daniel Gildea
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    AIPS
    2006
    123views Artificial Intelligence» more  AIPS 2006»
    Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling
    13 years 10 months ago
    Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling
    Download  www.cs.cmu.edu
    This paper presents three techniques for using an iterated local search algorithm to improve the performance of a state-of-the-art branch and bound algorithm for job shop scheduli...
    Matthew J. Streeter, Stephen F. Smith
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    IEEEPACT
    2005
    IEEE
    92views Distributed And Parallel Com...» more  IEEEPACT 2005»
    A Simple Divide-and-Conquer Approach for Neural-Class Branch Prediction
    14 years 2 months ago
    A Simple Divide-and-Conquer Approach for Neural-Class Branch Prediction
    Download  www.cc.gatech.edu
    The continual demand for greater performance and growing concerns about the power consumption in highperformance microprocessors make the branch predictor a critical component of ...
    Gabriel H. Loh
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    GECCO
    2004
    Springer
    97views Optimization» more  GECCO 2004»
    Multi-branches Genetic Programming as a Tool for Function Approximation
    14 years 2 months ago
    Multi-branches Genetic Programming as a Tool for Function Approximation
    Download  www.cs.york.ac.uk
    This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
    Katya Rodríguez-Vázquez, Carlos Oliv...
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