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- W2079799526 abstract "CASS is a task management system that provides facilities for automatic grain-size optimization and task scheduling of parallel programs on distributed memory parallel architectures. The heart of CASS is a clustering module that partitions the tasks of a program into clusters that match the granularity of the target machine. This paper describes the clustering algorithms used by CASS and compares them with the best known algorithms reported in the literature, namely the PY algorithm (for clustering with task duplication) and the DSC algorithm (for clustering with no task duplication). It is shown that the clustering algorithms used by CASS outperform both the PY and DSC algorithms in terms of both speed and solution quality." @default.
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- W2079799526 date "1997-01-01" @default.
- W2079799526 modified "2023-09-25" @default.
- W2079799526 title "PERFORMANCE ANALYSIS OF TASK CLUSTERING HEURISTICS FOR SCHEDULING STATIC DAGS ON MULTIPROCESSOR SYSTEM*" @default.
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- W2079799526 doi "https://doi.org/10.1080/01495739708941421" @default.
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