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dc.contributor.authorVo, Huy T.en_US
dc.contributor.authorOsmari, Daniel K.en_US
dc.contributor.authorComba, Joãoen_US
dc.contributor.authorLindstrom, Peteren_US
dc.contributor.authorSilva, Cláudio T.en_US
dc.contributor.editorHank Childs and Torsten Kuhlen and Fabio Martonen_US
dc.date.accessioned2013-11-08T10:25:54Z
dc.date.available2013-11-08T10:25:54Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905674-35-4en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGPGV/EGPGV12/001-010en_US
dc.description.abstractWe propose a dataflow architecture, called HyperFlow, that offers a supporting infrastructure that creates an abstraction layer over computation resources and naturally exposes heterogeneous computation to dataflow processing. In order to show the efficiency of our system as well as testing it, we have included a set of synthetic and real-case applications. First, we designed a general suite of micro-benchmarks that captures main parallel pipeline structures and allows evaluation of HyperFlow under different stress conditions. Finally, we demonstrate the potential of our system with relevant applications in visualization. Implementations in HyperFlow are shown to have greater performance than actual hand-tuning codes, yet still providing high scalability on different platforms.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generationen_US
dc.titleHyperFlow: A Heterogeneous Dataflow Architectureen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US


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