Prof. Dr. Gerhard Wellein



Organisation


Professur für Höchstleistungsrechnen


Awards / Honours


2006 : ISC Award



Project lead

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(Energy Oriented Center of Excellence: toward exascale for energy):
EoCoE-II: Energy Oriented Center of Excellence: toward exascale for energy (Performance evaluation, modelling and optimization)
Prof. Dr. Gerhard Wellein
(01/01/2019 - 31/12/2021)

SeASiTe: Selbstadaption für zeitschrittbasierte Simulationstechniken auf heterogenen HPC-Systemen
Prof. Dr. Gerhard Wellein
(01/03/2017 - 29/02/2020)

ProPE: Process-Oriented Performance Engineering Service Infrastructure for Scientific Software at German HPC Centers
Prof. Dr. Gerhard Wellein
(01/01/2017 - 31/12/2019)

MeTacca: Metaprogrammierung für Beschleunigerarchitekturen
Prof. Dr. Gerhard Wellein; Prof. Dr. Harald Köstler
(01/01/2017 - 31/12/2019)

(SPP 1648: Software for Exascale Computing):
SPPEXA: Equipping Sparse Solvers for Exascale II (ESSEX-II)
Prof. Dr. Gerhard Wellein
(01/01/2016 - 31/12/2018)


Project member


SKAMPY: Ultra-Skalierbare Multiphysiksimulationen für Erstarrungsprozesse in Metallen
Prof. Dr. Ulrich Rüde
(01/02/2016 - 31/01/2019)

Bridging scales - from Quantum Mechanics to Continuum Mechanics. A Finite Element approach.
Denis Davydov, Ph.D.
(01/01/2016 - 30/09/2018)


Other Research Activities


Expert for funding organisation
Prof. Dr. Gerhard Wellein
- DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
(01/01/2017)


Publications (Download BibTeX)

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Röhl, T., Eitzinger, J., Hager, G., & Wellein, G. (2017). LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses. In Proceedings of the 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 (pp. 781-784). Institute of Electrical and Electronics Engineers Inc..
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. In Proceedings of the 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016 (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.

Last updated on 2016-05-05 at 05:29