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Dense Texture Flow Visualization using Data-Parallel Primitives.

, , and . EGPGV, page 57-61. Eurographics Association, (2018)

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SODA: Science-Driven Orchestration of Data Analytics., , , , , , and . e-Science, page 475-484. IEEE Computer Society, (2015)A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics., , , , , , , , , and . MSST, page 1-10. IEEE Computer Society, (2013)Resource Provisioning for Staging Components., , , , , , and . IPDPS Workshops, page 1947-1953. IEEE, (2013)In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms., , , , , , , , , and 1 other author(s). Comput. Graph. Forum, 35 (3): 577-597 (2016)ISABELA for effective in situ compression of scientific data., , , , , , , , and . Concurrency and Computation: Practice and Experience, 25 (4): 524-540 (2013)ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing., , , , , , , , and . Concurrency and Computation: Practice and Experience, 27 (14): 3724-3745 (2015)XpressSpace: a programming framework for coupling partitioned global address space simulation codes., , , , and . Concurrency and Computation: Practice and Experience, 26 (3): 644-661 (2014)Extending I/O through high performance data services., , , , , and . CLUSTER, page 1-10. IEEE Computer Society, (2009)EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization., , , , , , , , and . CLUSTER, page 93-102. IEEE Computer Society, (2011)Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data., , , , , , , and . CoRR, (2015)