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Statistical Analysis of Parallel Data Uploading using OpenGL
(The Eurographics Association, 2019)
Modern real-time visualizations of large-scale datasets require constant high frame rates while their datasets might exceed the available graphics memory. This requires sophisticated upload strategies from host memory to ...
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 ...