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 001; Daniel Graziotin; Yang Wang 049 (SE-HPCCSE@SC, 2016)

Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++. - Dirk Pflüger; David Pfander (SE-HPCCSE@SC, 2016)

AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. - David Pfander; Malte Brunn; Dirk Pflüger (IPDPS Workshops, 2018)

Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. - David Pfander; Gregor Daiß; Dominic Marcello; Hartmut Kaiser; Dirk Pflüger (IWOCL, 2018)

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 (SC, 2019)

Heterogeneous Distributed Big Data Clustering on Sparse Grids. - David Pfander; Gregor Daiß; Dirk Pflüger (Algorithms, 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; et al. (Int. J. High Perform. Comput. Appl., 2019)

Auto-tuning and performance portability on heterogeneous hardware. - David Pfander (2019)