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EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.

, , , , , , , , and . CLUSTER, page 93-102. IEEE Computer Society, (2011)

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Balancing conflicting requirements for grid and particle decomposition in continuum-Lagrangian solvers., and . Parallel Computing, (2016)Stability of Dissipation Elements: A Case Study in Combustion., , , , , and . Comput. Graph. Forum, 33 (3): 51-60 (2014)In Situ Visualization for Large-Scale Combustion Simulations., , , , and . IEEE Computer Graphics and Applications, 30 (3): 45-57 (2010)A block-random algorithm for learning on distributed, heterogeneous data., , , and . CoRR, (2019)Feature-Based Statistical Analysis of Combustion Simulation Data., , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 17 (12): 1822-1831 (2011)Combining in-situ and in-transit processing to enable extreme-scale scientific analysis., , , , , , , , , and 5 other author(s). SC, page 49. IEEE/ACM, (2012)Analyzing information transfer in time-varying multivariate data., , , , and . PacificVis, page 99-106. IEEE Computer Society, (2011)Achieving algorithmic resilience for temporal integration through spectral deferred corrections., , , and . CoRR, (2015)Accelerating S3D: A GPGPU Case Study., , , , , and . Euro-Par Workshops, volume 6043 of Lecture Notes in Computer Science, page 122-131. Springer, (2009)Accelerated application development: The ORNL Titan experience., , , , , , , , , and 4 other author(s). Computers & Electrical Engineering, (2015)