Prof. Dr. Gerhard Wellein



Organisationseinheit


Professur für Höchstleistungsrechnen


Preise / Auszeichnungen


2006 : ISC Award



Projektleitung

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SKALB: SKALB: Lattice Boltzmann Methods for Scalable Multi-Physic Applications
Prof. Dr. Gerhard Wellein
(01.01.2009 - 31.12.2011)


Mitarbeit in Forschungsprojekten


SKAMPY: Ultra-Skalierbare Multiphysiksimulationen für Erstarrungsprozesse in Metallen
Prof. Dr. Ulrich Rüde
(01.02.2016 - 31.01.2019)

Skalenübergreifende Modellierung - von der Quanten- zur Kontinuumsmechanik. Ein Finite-Elemente Ansatz.
Denis Davydov, Ph.D.
(01.01.2016 - 30.09.2018)


Weitere Forschungsaktivitäten


Gutachtertätigkeit für Förderorganisation
Prof. Dr. Gerhard Wellein
- DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
(01.01.2017)


Publikationen (Download BibTeX)

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Hofmann, J., Fey, D., Riedmann, M., Eitzinger, J., Hager, G., & Wellein, G. (2017). Performance analysis of the Kahan-enhanced scalar product on current multi-core and many-core processors. Concurrency and Computation-Practice & Experience, 29(9). https://dx.doi.org/10.1002/cpe.3921
Anzt, H., Gates, M., Dongarra, J., Kreutzer, M., Wellein, G., & Köhler, M. (2017). Preconditioned Krylov solvers on GPUs. Parallel Computing, 68, 32-44. https://dx.doi.org/10.1016/j.parco.2017.05.006
Hofmann, J., Fey, D., Eitzinger, J., Hager, G., & Wellein, G. (2016). Analysis of intel’s haswell microarchitecture using the ECM model and microbenchmarks. Springer Verlag.
Hofmann, J., Fey, D., Eitzinger, J., Hager, G., & Wellein, G. (2016). Analysis of Intel's Haswell Microarchitecture Using the ECM Model and Microbenchmarks. In Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings (pp. 210-222). Nuremberg: Cham: Springer International Publishing.
Anzt, H., Dongarra, J., Kreutzer, M., Wellein, G., & Köhler, M. (2016). Efficiency of general Krylov methods on GPUs - An experimental study. (pp. 683-691). IEEE Computer Society.
Hager, G., Eitzinger, J., Habich, J., & Wellein, G. (2016). Exploring performance and power properties of modern multi-core chips via simple machine models. Concurrency and Computation-Practice & Experience, 28(2), 189-210. https://dx.doi.org/10.1002/cpe.3180
Kreutzer, M., Thies, J., Röhrig-Zöllner, M., Pieper, A., Shahzad, F., Galgon, M.,... Wellein, G. (2016). GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems. International Journal of Parallel Programming, 1-27. https://dx.doi.org/10.1007/s10766-016-0464-z
Wellein, G., Alvermann, A., Fehske, H., Hager, G., Kreutzer, M., Lang, B.,... Galgon, M. (2016). High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations. Journal of Computational Physics, 325, 226-243. https://dx.doi.org/10.1016/j.jcp.2016.08.027
Bauer, S., Bunge, H.-P., Drzisga, D.P., Gmeiner, B., Huber, M., John, L.,... Wohlmuth, B.I. (2016). Hybrid Parallel Multigrid Methods for Geodynamical Simulations. In Bungartz H., Neumann P., Nagel E. (Eds.), 113 (pp. 211-235). Berlin, Heidelberg, New York: Springer.
Anzt, H., Kreutzer, M., Ponce, E., Peterson, G.D., Wellein, G., & Dongarra, J. (2016). Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. International Journal of High Performance Computing Applications. https://dx.doi.org/10.1177/1094342016646844

Zuletzt aktualisiert 2016-05-05 um 05:29