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    ICS
    1993
    Tsinghua U.
    173views Distributed And Parallel Com...» more  ICS 1993»
    Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
    15 years 2 months ago
    Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
    Download  charm.cs.uiuc.edu
    Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
    Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
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    IPPS
    2000
    IEEE
    142views Distributed And Parallel Com...» more  IPPS 2000»
    Combining Fusion Optimizations and Piecewise Execution of Nested Data-Parallel Programs
    15 years 2 months ago
    Combining Fusion Optimizations and Piecewise Execution of Nested Data-Parallel Programs
    Download  ipdps.cc.gatech.edu
    Abstract. Nested data-parallel programs often have large memory requirements due to their high degree of parallelism. Piecewise execution is an implementation technique used to min...
    W. Pfannenstiel
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    SAC
    1996
    ACM
    100views Applied Computing» more  SAC 1996»
    A fuzzy approach to automatic data locality optimization
    15 years 2 months ago
    A fuzzy approach to automatic data locality optimization
    Download  www.plm.eecs.uni-kassel.de
    Claudia Leopold
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    EURONGI
    2006
    Springer
    102views Computer Networks» more  EURONGI 2006»
    Automatic Data Locality Optimization Through Self-optimization
    15 years 1 months ago
    Automatic Data Locality Optimization Through Self-optimization
    Download  www.iwsos.net.fmi.uni-passau.de
    Rainer Buchty, Jie Tao, Wolfgang Karl
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    PLDI
    1991
    ACM
    100views Programming Languages» more  PLDI 1991»
    A Data Locality Optimizing Algorithm
    15 years 1 months ago
    A Data Locality Optimizing Algorithm
    Download  suif.stanford.edu
    Michael E. Wolf, Monica S. Lam
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