Parallel Rendering on Hybrid Multi-GPU Clusters

dc.contributor.authorEilemann, Stefanen_US
dc.contributor.authorBilgili, Ahmeten_US
dc.contributor.authorAbdellah, Marwanen_US
dc.contributor.authorHernando, Juanen_US
dc.contributor.authorMakhinya, Maximen_US
dc.contributor.authorPajarola, Renatoen_US
dc.contributor.authorSchürmann, Felixen_US
dc.contributor.editorHank Childs and Torsten Kuhlen and Fabio Martonen_US
dc.date.accessioned2013-11-08T10:25:58Z
dc.date.available2013-11-08T10:25:58Z
dc.date.issued2012en_US
dc.description.abstractAchieving efficient scalable parallel rendering for interactive visualization applications on medium-sized graphics clusters remains a challenging problem. Framerates of up to 60hz require a carefully designed and fine-tuned parallel rendering implementation that fits all required operations into the 16ms time budget available for each rendered frame. Furthermore, modern commodity hardware embraces more and more a NUMA architecture, where multiple processor sockets each have their locally attached memory and where auxiliary devices such as GPUs and network interfaces are directly attached to one of the processors. Such so called fat NUMA processing and graphics nodes are increasingly used to build cost-effective hybrid shared/distributed memory visualization clusters. In this paper we present a thorough analysis of the asynchronous parallelization of the rendering stages and we derive and implement important optimizations to achieve highly interactive framerates on such hybrid multi-GPU clusters. We use both a benchmark program and a real-world scientific application used to visualize, navigate and interact with simulations of cortical neuron circuit models.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-35-4en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV12/109-117en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Graphics Systems- Distributed Graphics; I.3.m [Computer Graphics]: Miscellaneous-Parallel Renderingen_US
dc.titleParallel Rendering on Hybrid Multi-GPU Clustersen_US
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