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David Pfander
David Pfander
Verified email at ipvs.uni-stuttgart.de
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From piz daint to the stars: Simulation of stellar mergers using high-level abstractions
G Daiß, P Amini, J Biddiscombe, P Diehl, J Frank, K Huck, H Kaiser, ...
Proceedings of the international conference for high performance computing …, 2019
302019
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars
T Heller, BA Lelbach, KA Huck, J Biddiscombe, P Grubel, AE Koniges, ...
The International Journal of High Performance Computing Applications 33 (4 …, 2019
272019
The scalability-efficiency/maintainability-portability trade-off in simulation software engineering: Examples and a preliminary systematic literature review
D Pflüger, M Mehl, J Valentin, F Lindner, D Pfander, S Wagner, ...
2016 Fourth International Workshop on Software Engineering for High …, 2016
192016
Accelerating octo-tiger: stellar mergers on intel knights landing with HPX
D Pfander, G Daiß, D Marcello, H Kaiser, D Pflüger
Proceedings of the International Workshop on OpenCL, 1-8, 2018
122018
Heterogeneous distributed big data clustering on sparse grids
D Pfander, G Daiß, D Pflüger
Algorithms 12 (3), 60, 2019
82019
A new subspace-based algorithm for efficient spatially adaptive sparse grid regression, classification and multi-evaluation
D Pfander, A Heinecke, D Pflüger
Sparse Grids and Applications-Stuttgart 2014, 221-246, 2016
72016
Computational efficiency vs. maintainability and portability. Experiences with the sparse grid code sg++
D Pflüger, D Pfander
2016 Fourth International Workshop on Software Engineering for High …, 2016
52016
AutoTuneTmp: auto-tuning in C++ with runtime template metaprogramming
D Pfander, M Brunn, D Pflüger
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
32018
Auto-tuning and performance portability on heterogeneous hardware
D Pfander
2019
Eine künstliche Intelligenz für das Kartenspiel Tichu
D Pfander
2013
Zeitreihenanalyse auf dünnen Gittern
D Pfander
2013
Static Program Analysis for the Detection of Data Races
D Pfander
2012
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Articles 1–12