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Approaches for In Situ Computation of Moments in a Data-Parallel Environment
(The Eurographics Association, 2020)
Feature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection as a ...
Effective Parallelization Strategies for Scalable, High-Performance Iterative Reconstruction
(The Eurographics Association, 2020)
Iterative reconstruction techniques in X-ray computed tomography converge to a result by successively refining increasingly accurate estimates. Compared to alternative approaches, iterative reconstruction imposes significant ...
Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization
(The Eurographics Association, 2020)
In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a different set of ranks N: One ...