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MCSimVis: Many Core Simulation and Visualization

A central objective of the project is the speedup of the finite element simulation on the basis of PERMAS (solver) and VisPER (visualization) using hybrid many-core architectures. A major focus of innovation is an abstraction layer which standardizes the interaction of both simulation tools with the hardware and facilitates the shared access to distributed or hierarchically ordered model data.

Publications

2012

Distributed Computation and Large-Scale Visualization in Heterogeneous Compute Environments
Panagiotidis, Alexandros; Kauker, Daniel; Sadlo, Filip; Ertl, Thomas: Distributed Computation and Large-Scale Visualization in Heterogeneous Compute Environments. In: International Symposium on Parallel and Distributed Computing, pp. 87-94, 2012.
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Challenges for Many-Core Simulation and Visualization - Insights from the MCSimVis Project
Panagiotidis, Alexandros; Kauker, Daniel; Ertl, Thomas: Challenges for Many-Core Simulation and Visualization - Insights from the MCSimVis Project. 2012 (to appear).
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2011

EdgeAnalyzer: Exploratory Analysis through Advanced Edge Interaction
Panagiotidis, Alexandros; Bosch, Harald; Koch, Steffen; Ertl, Thomas: EdgeAnalyzer: Exploratory Analysis through Advanced Edge Interaction. In: Hawaii International Conference on System Sciences, pp. 1-10, 2011.
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DIANA: A Device Abstraction Framework for Parallel Computations
Panagiotidis, Alexandros; Kauker, Daniel; Frey, Steffen; Ertl, Thomas: DIANA: A Device Abstraction Framework for Parallel Computations. In: Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, 2011.
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2010

Frey, Steffen; Ertl, Thomas: PaTraCo: A Framework Enabling the Transparent and Efficient Programming of Heterogeneous Compute Networks. In: Eurographics Symposium on Parallel Graphics and Visualization (EGPGV10), pp. 131-140, 2010.
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Memory Saving Discrete Fourier Transform on GPUs
Kauker, Daniel; Sanftmann, Harald; Frey, Steffen; Ertl, Thomas: Memory Saving Discrete Fourier Transform on GPUs. In: Proceedings of the IEEE International Conference on Computer and Information Technology, pp. 1152-1157, 2010.
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