Extreme Scaling of Production Visualization Software on Diverse Architectures
IEEE Computer Graphics and Applications2010Vol. 30(3), pp. 22–31
Citations Over TimeTop 1% of 2010 papers
Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Prabhat, Gunther H. Weber, E. Wes Bethel
Abstract
This article presents the results of experiments studying how the pure-parallelism paradigm scales to massive data sets, including 16,000 or more cores on trillion-cell meshes, the largest data sets published to date in the visualization literature. The findings on scaling characteristics and bottlenecks contribute to understanding how pure parallelism will perform in the future.
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