The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library

As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coproce...

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Veröffentlicht in:2011 IEEE Symposium on Large Data Analysis and Visualization S. 89 - 96
Hauptverfasser: Fabian, N., Moreland, K., Thompson, D., Bauer, A. C., Marion, P., Gevecik, B., Rasquin, M., Jansen, K. E.
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.10.2011
Schlagworte:
Adaptation models
coprocessing
Data mining
Data models
Data visualization
in situ
Libraries
Pipelines
scaling
simulation
Sockets
ISBN:9781467301565, 1467301566
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coprocessing. We describe how coprocessing algorithms (building on many from VTK) can be linked and executed directly from within a scientific simulation or other applications that need visualization and analysis. We also describe how the ParaView Coprocessing Library can write out partially processed, compressed, or extracted data readable by a traditional visualization application for interactive post-processing. Finally, we will demonstrate the library's scalability in a number of real-world scenarios.
ISBN:9781467301565
1467301566
DOI:10.1109/LDAV.2011.6092322