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Journal Articles
- 2022
[j4]Johannes Pekkilä
, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi:
Scalable communication for high-order stencil computations using CUDA-aware MPI. Parallel Comput. 111: 102904 (2022)- 2021
- [j3]The Pencil Code Collaboration, Axel Brandenburg, Anders Johansen, Philippe A. Bourdin, Wolfgang Dobler, Wladimir Lyra, Matthias Rheinhardt, Sven Bingert, Nils Erland L. Haugen, Antony Mee, Frederick Gent, Natalia Babkovskaia, Chao-Chin Yang, Tobias Heinemann, Boris Dintrans, Dhrubaditya Mitra, Simon Candelaresi, Jörn Warnecke, Petri J. Käpylä, Andreas Schreiber, Piyali Chatterjee, Maarit J. Käpylä, Xiang-Yu Li, Jonas Krüger, Jørgen R. Aarnes, Graeme R. Sarson, Jeffrey S. Oishi, Jennifer Schober, Raphaël Plasson, Christer Sandin, Ewa Karchniwy, Luiz Felippe S. Rodrigues, Alexander Hubbard, Gustavo Guerrero, Andrew Snodin, Illa R. Losada, Johannes Pekkilä, Chengeng Qian:
The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained. J. Open Source Softw. 6(58): 2807 (2021) - 2017
- [j2]Johannes Pekkilä, Miikka S. Väisälä, Maarit Käpylä, Petri J. Käpylä, Omer Anjum:
Methods for compressible fluid simulation on GPUs using high-order finite differences. Comput. Phys. Commun. 217: 11-22 (2017) - 2016
- [j1]Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse:
Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing 174: 99-108 (2016)
Informal and Other Publications
- 2021
- [i3]Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi:
Scalable communication for high-order stencil computations using CUDA-aware MPI. CoRR abs/2103.01597 (2021) - [i2]Jan E. Snellman, Rafael A. Barrio, Kimmo K. Kaski, Maarit J. Käpylä:
Modeling the interplay between epidemics and regional socio-economics. CoRR abs/2105.06718 (2021) - 2017
- [i1]Johannes Pekkilä, Miikka S. Väisälä, Maarit Käpylä, Petri J. Käpylä, Omer Anjum:
Methods for compressible fluid simulation on GPUs using high-order finite differences. CoRR abs/1707.08900 (2017)
Coauthor Index
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