Publications

Adrian Eisenmann, Tim Streubel, und Krzysztof Rudion. PQ Prediction by Way of Parallel Computing - Benchmark and Sensitivity Analysis for classical ML Approaches. 2019. [PUMA: Analysis Approaches Benchmark Computing ML PQ Parallel Prediction Sensitivity classical]

Malte Brunn, Colin W. Glass, Michael Lahnert, Miriam Mehl, und Dirk Pflüger. Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, und Frans Peters (Hrsg.), Advances in Parallel Computing, (Volume 32: Parallel Computing is Everywhere):455-464, IOS Press, 2017. [PUMA: 2017 computing parallel sfb716 sfb716-d9 simulation vis(us) visus:pfluegdk] URL

Alexander Schöll, Claus Braun, Markus Daub, Guido Schneider, und Hans-Joachim Wunderlich. Adaptive Parallel Simulation of a Two-Timescale-Model for Apoptotic Receptor-Clustering on GPUs. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM'14), 424--431, 2014. [PUMA: Euler-Maruyama GPU SimTech adaptive aggregation approximation computing heterogeneous ligand-receptor-model multi-timescale myown parallel particle simulation]

Yosandra Sandoval, Dennis Hoppe, Dmitry Khabi, Michael Gienger, Christoph Kessler, Lu Li, Usman Dastgeer, Phuong Ha, Ibrahim Umar, Vi Tran, Anders Gidenstam, Philippas Tsigas, Paul Renaud-Goud, und Ivan Walulya. EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: Analysis Computing EXCESS Energy-Efficiency Monitoring Parallel Performance myown]

Lutz Schubert, Stefan Wesner, Daniel Rubio Bonilla, und Tommaso Cucinotta. Programming Multi-core and Many-Core Computing Systems. In Wiley Interscience (Hrsg.), 2014. [PUMA: computing hlrs hpc multicore myown parallel programming]