Efficient I/O for Parallel Visualization

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dc.contributor.authorFogal, Thomasen_US
dc.contributor.authorKrüger, Jensen_US
dc.contributor.editorTorsten Kuhlen and Renato Pajarola and Kun Zhouen_US
dc.date.accessioned2014-01-26T16:57:06Z
dc.date.available2014-01-26T16:57:06Z
dc.date.issued2011en_US
dc.description.abstractWhile additional cores and newer architectures, such as those provided by GPU clusters, steadily increase available compute power, memory and disk access has not kept pace, and most believe this trend will continue. It is therefore of critical importance that we design systems and algorithms which make effective use of off-processor storage. This work details our experiences using parallel file systems, details performance using current systems and software, and suggests a new API which has greater potential for increased scalability.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-32-3en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV11/081-090en_US
dc.publisherThe Eurographics Associationen_US
dc.titleEfficient I/O for Parallel Visualizationen_US
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EGPGV11: Eurographics Symposium on Parallel Graphics and Visualization