Chair for Practical Computer Science






Software for Parallel Irregular Algorithms

The joint research project “Software for Parallel Irregular Algorithms” is supported by Deutsche Forschungsgemeinschaft (DFG) and consists of projects in computer science, physics, and mathematics:
  • Self-adaptation for Parallel Irregular Applications (RU591/10-1)
    Prof. Dr. Gudula Rünger
    Faculty of Computer Science, Chemnitz University of Technology

  • Dynamic Fractal Systems
    Prof. Dr. Karl Heinz Hoffmann
    Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology

  • Adaptive-parallel BPX Solver
    Prof. Dr. Arnd Meyer, Dr. Matthias Pester
    Faculty of Mathematics, Chemnitz University of Technology

Topic

Algorithms for solving real-world problems in natural sciences often have a very irregular behavior. For example, these algorithms can create large amounts of computational tasks at runtime or make use of data structures that change dynamically during the computations. Creating efficient parallel implementations for these irregular algorithms represent a challenging task, because their behavior of the algorithms at runtime depends strongly on the particular input data and is hard to predict in advance. Additionally, the necessary adaptations for achieving good parallel efficiency and scalability also become more and more complex due to the ever increasing complexity of modern parallel platforms.

Poster SpirrA

Publications

  • Hoffmann, K. H.; Hofmann, M.; Lang, J.; Rünger, G.; Seeger, S.: Accelerating Physical Simulations Using Graphics Processing Units. In: it - Information Technology, vol. 53, no. 2: pp. 49-59. Oldenbourg Wissenschaftsverlag GmbH  –  ISSN 1611-2776, 2011. DOI: 10.1524/itit.2011.0625 online resource available
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BibTeX
  • Hoffmann, K. H.; Hofmann, M.; Lang, J.; Rünger, G.; Seeger, S.: Simulating Anomalous Diffusion on Graphics Processing Units. In: Proc. of the 11th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-10): pp. 1-8. IEEE  –  ISBN 978-1-4244-6534-7. Atlanta, USA, 2010. DOI: 10.1109/IPDPSW.2010.5470767 online resource available
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BibTeX
  • Hofmann, M.; Rünger, G.: MPI Reduction Operations for Sparse Floating-Point Data. In: Lastovetsky, A.; Kechadi, T.; Dongarra, J. (Eds.): Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI Users Group Meeting (LNCS, vol. 5205): pp. 94-101. Springer  –  ISBN 978-3-540-87474-4. Dublin, Ireland, 2008. DOI: 10.1007/978-3-540-87475-1_17 online resource available
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BibTeX
  • Hofmann, M.; Rünger, G.: Towards an Adaptive Task Pool Implementation. In: Proc. of the IPDPS-08 Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-08): pp. 1-8. IEEE  –  ISBN 978-1-4244-1693-6. Miami, Florida, USA, 2008. DOI: 10.1109/IPDPS.2008.4536477 online resource available
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BibTeX
  • Prehl, J.; Hoffmann, K. H.; Hofmann, M.; Rünger, G.; Tarafdar, S.: Anomalous diffusion in porous media. In: Wiegand, S.; Köhler, W.; Dhont, J. K. G. (Eds.): Thermal Nonequilibrium: Lecture Notes of the 8th International Meeting on Thermodiffusion (Schriften des Forschungszentrums Jülich - Schlüsseltechnologien, vol. 3): pp. 243-248. Forschungszentrum Jülich, Zentralbibliothek, Verlag  –  ISBN 978-3-89336-523-4, 2008. online resource available
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BibTeX
  • Dachsel, H.; Hofmann, M.; Rünger, G.: Library Support for Parallel Sorting in Scientific Computations. In: Proc. of the 13th International Euro-Par Conference (LNCS, vol. 4641): pp. 695-704. Springer  –  ISBN 978-3-540-74465-8. Rennes, France, 2007. DOI: 10.1007/978-3-540-74466-5_73 online resource available
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BibTeX
  • Hofmann, M.; Rünger, G.: Performance Measurements and Analysis of the BlueGene/L MPI Implementation. In: Parallel Computing: Architectures, Algorithms and Applications: Proc. of the International Conference ParCo 2007 (Advances in Parallel Computing, vol. 15): pp. 405-412. IOS Press  –  ISBN 978-1-58603-796-3. Jülich/Aachen, Germany, 2007. online resource available
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BibTeX
  • Hoffmann, K. H.; Hofmann, M.; Rünger, G.; Seeger, S.: Task Pool Teams Implementation of the Master Equation Approach for Random Sierpinski Carpets. In: Proc. of the 12th International Euro-Par Conference (LNCS, vol. 4128): pp. 1043-1052. Springer  –  ISBN 978-3-540-37783-2. Dresden, Germany, 2006. DOI: 10.1007/11823285_110 online resource available
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BibTeX
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