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PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance.

, , , and . EGPGV, page 1-10. Eurographics Association, (2017)

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MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems., , and . EGPGV, page 1-10. Eurographics Association, (2010)Scientific Data Management Challenges in High-Performance Visual Data Analysis., , , and . Scientific Data Management, CRC Press / Taylor & Francis, (2009)Large data visualization on distributed memory multi-GPU clusters., , , , , and . High Performance Graphics, page 57-66. Eurographics Association, (2010)Particle advection performance over varied architectures and workloads., , , , and . HiPC, page 1-10. IEEE Computer Society, (2014)Performance modeling of in situ rendering., , , , , and . SC, page 24. ACM, (2016)Preface: Visualization and data analytics for scientific discovery., and . Parallel Computing, (2016)Exploring hierarchical visualization designs using phylogenetic trees., , , , , , and . Visualization and Data Analysis, volume 9397 of SPIE Proceedings, page 939709. SPIE, (2015)Why Petascale Visualization and Analysis Will Change the Rules.. ICCS (1), volume 5101 of Lecture Notes in Computer Science, page 32. Springer, (2008)External Facelist Calculation with Data-Parallel Primitives., , , and . EGPGV, page 11-20. Eurographics Association, (2016)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)