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DOE OSTI · 1257810

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures

Moreland, Kenneth·Sewell, Christopher·Usher, William·Lo, Li-ta·Meredith, Jeremy·Pugmire, David·Kress, James·Schroots, Hendrik·Ma, Kwan-Liu·Childs, Hank·Larsen, Matthew·Chen, Chun-Ming·Maynard, Robert·Geveci, Berk
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Abstract

Execution on massively threaded processors is one of the most critical challenges for high-performance computing (HPC) scientific visualization. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on new processor types optimized for execution bandwidth over latency hiding. Moreover, our current production scientific visualization software is not designed for these new types of architectures. In order to address this issue, the VTK-m framework serves as a container for algorithms, provides flexible data representation, and simplifies the design of visualization algorithms on new and future computer architecture.

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97 MATHEMATICS AND COMPUTINGComputer ScienceVTK-m frameworkalgorithmic structurescomputer graphicshigh-performance computingmassively threaded processorsparallel algorithmsvisualization software

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Moreland, Kenneth, Sewell, Christopher, Usher, William, Lo, Li-ta, Meredith, Jeremy, Pugmire, David, Kress, James, Schroots, Hendrik, Ma, Kwan-Liu, Childs, Hank, Larsen, Matthew, Chen, Chun-Ming, Maynard, Robert, Geveci, Berk. 2016-05-09. VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. https://doi.org/10.1109/mcg.2016.48

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