David Pfander

According to our database, David Pfander authored at least 8 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Auto-tuning and performance portability on heterogeneous hardware.

David Pfander

PhD thesis, 2019

Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars.

Thomas Heller, Bryce Adelstein-Lelbach, Kevin A. Huck, John Biddiscombe, Patricia Grubel, Alice E. Koniges, Matthias Kretz, Dominic Marcello, David Pfander, Adrian Serio, Frank J. Seinstra, Geoffrey C. Clayton, Dirk Pflüger, David Eder, Hartmut Kaiser

Int. J. High Perform. Comput. Appl., 2019

Heterogeneous Distributed Big Data Clustering on Sparse Grids.

David Pfander, Gregor Daiß, Dirk Pflüger

Algorithms, 2019

From piz daint to the stars: simulation of stellar mergers using high-level abstractions.

Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger

Proceedings of the International Conference for High Performance Computing, 2019

2018

Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX.

David Pfander, Gregor Daiß, Dominic Marcello, Hartmut Kaiser, Dirk Pflüger

Proceedings of the International Workshop on OpenCL, 2018

AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming.

David Pfander, Malte Brunn, Dirk Pflüger

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2016

Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++.

Dirk Pflüger, David Pfander

Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2016

The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review.

Dirk Pflüger, Miriam Mehl, Julian Valentin, Florian Lindner, David Pfander, Stefan Wagner, Daniel Graziotin, Yang Wang

Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2016