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A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
Published on: September 28, 2019
Extreme scaling of production visualization software on diverse architectures
Hank Childs1, David Pugmire, Sean Ahern
1Lawrence Berkeley National Laboratory, and University of California at Davis, CA, USA. hchilds@lbl.gov
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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