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» Optimizing for parallelism and data locality
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121
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IPPS
1997
IEEE
15 years 5 months ago
Enhancing Software DSM for Compiler-Parallelized Applications
Current parallelizing compilers for message-passing machines only support a limited class of data-parallel applications. One method for eliminating this restriction is to combine ...
Peter J. Keleher, Chau-Wen Tseng
HICSS
1995
IEEE
128views Biometrics» more  HICSS 1995»
15 years 4 months ago
Instruction Level Parallelism
Abstract. We reexamine the limits of parallelism available in programs, using runtime reconstruction of program data-flow graphs. While limits of parallelism have been examined in...
105
Voted
ICPP
2008
IEEE
15 years 7 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
106
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
CCGRID
2010
IEEE
15 years 2 months ago
A Bi-criteria Algorithm for Scheduling Parallel Task Graphs on Clusters
Applications structured as parallel task graphs exhibit both data and task parallelism, and arise in many domains. Scheduling these applications on parallel platforms has been a lo...
Frédéric Desprez, Frédé...