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Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.

, , , , , , , , , , , , and . IPDPS Workshops, page 1007-1013. IEEE Computer Society, (2016)

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Large data visualization on distributed memory multi-GPU clusters., , , , , and . High Performance Graphics, page 57-66. Eurographics Association, (2010)MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems., , and . EGPGV, page 1-10. Eurographics Association, (2010)Particle advection performance over varied architectures and workloads., , , , and . HiPC, page 1-10. IEEE Computer Society, (2014)Preface: Visualization and data analytics for scientific discovery., and . Parallel Computing, (2016)Performance modeling of in situ rendering., , , , , and . SC, page 24. ACM, (2016)Scientific Data Management Challenges in High-Performance Visual Data Analysis., , , and . Scientific Data Management, CRC Press / Taylor & Francis, (2009)Why Petascale Visualization and Analysis Will Change the Rules.. ICCS (1), volume 5101 of Lecture Notes in Computer Science, page 32. Springer, (2008)Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing., , , and . IEEE Trans. Vis. Comput. Graph., 20 (6): 893-906 (2014)Visualization at Supercomputing Centers: The Tale of Little Big Iron and the Three Skinny Guys., , , , , , and . IEEE Computer Graphics and Applications, 31 (1): 90-95 (2011)Exploring hierarchical visualization designs using phylogenetic trees., , , , , , and . Visualization and Data Analysis, volume 9397 of SPIE Proceedings, page 939709. SPIE, (2015)