VTK-m Accelerating the Visualization Toolkit for Massively Threaded Architectures

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

One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. 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 bandwid...

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Veröffentlicht in:IEEE computer graphics and applications. - 1997. - 36(2016), 3 vom: 15. Mai, Seite 48-58
1. Verfasser: Moreland, Kenneth (VerfasserIn)
Weitere Verfasser: 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
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:IEEE computer graphics and applications
Schlagworte:Journal Article
Beschreibung
Zusammenfassung:One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. 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. Our current production scientific visualization software is not designed for these new types of architectures. 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
Beschreibung:Date Completed 08.05.2017
Date Revised 08.05.2017
published: Print
Citation Status PubMed-not-MEDLINE
ISSN:1558-1756
DOI:10.1109/MCG.2016.48