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Title: Effective openMP extensions for irregular applications on cluster environments
Authors: Guo, M
Cao, J 
Chang, WL
Li, L
Liu, C
Issue Date: 2004
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and Lecture notes in bioinformatics), 2004, v. 3033, p. 97-104 How to cite?
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 
Abstract: Sparse and unstructured computations are widely used in Scientific and Engineering Applications. Such problem inherent in sparse and unstructured computations is called irregular problem. In this paper, we propose some extensions to OpenMP directives, aiming at efficient irregular OpenMP codes to be executed in parallel. These OpenMP directives include scheduling for irregular loops, inspector/executor for parallelizing irregular reduction, and eliminating ordered loops. We also introduce implementation strategies with respect to these extensions.
ISSN: 0302-9743
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