Clustering Algorithms for Massively Parallel Architectures Including GPU Nodes
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The purpose of the CAMPAIGN Project is to parallelize and modularize clustering algorithms for execution on general purpose GPUs.

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The CAMPAIGN project’s goals are to modularize and parallelize clustering algorithms and explore new clustering approaches, with special concentration on running on GPUs.

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Last updated
Dec 21, 2012
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Kai Kohlhoff
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bill Hsu
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Marc SOSNICK

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Provides the source code for compilation and testing of clusters on user systems.

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SimTK is maintained through Grant R01GM124443 01A1 from the National Institutes of Health (NIH). It was initially developed as part of the Simbios project funded by the NIH as part of the NIH Roadmap for Medical Research, Grant U54 GM072970.

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