Prof. Dr. Gerhard Wellein



Organisationseinheit


Professur für Höchstleistungsrechnen


Preise / Auszeichnungen


2006 : ISC Award



Projektleitung

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(SPP 1648: Software for Exascale Computing):
SPPEXA: EXASTEEL II - Bridging Scales for Multiphase Steels
Prof. Dr. Gerhard Wellein
(01.01.2016 - 31.12.2018)

(SPP 1648: Software for Exascale Computing):
TERRA-NEO - Integrated Co-Design of an Exascale Earth Mantle Modeling Framework
Prof. Dr. Gerhard Wellein
(01.11.2012 - 31.12.2015)

(SPP 1648: Software for Exascale Computing):
SPPEXA: ESSEX - Equipping Sparse Solvers for Exascale
Prof. Dr. Gerhard Wellein
(01.11.2012 - 31.12.2015)

(SPP 1648: Software for Exascale Computing):
EXASTEEL - Bridging Scales for Multiphase Steels
Prof. Dr. Gerhard Wellein
(01.11.2012 - 31.12.2015)

(SPP 1648: Software for Exascale Computing):
ESSEX - Equipping Sparse Solvers for Exascale
Dr. Georg Hager; Prof. Dr. Gerhard Wellein
(01.11.2012 - 30.06.2019)


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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Laukemann, J., Hammer, J., Hofmann, J., Hager, G., & Wellein, G. (2018). Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. In 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) (pp. 121-131). Dallas, TX, US: IEEE.
Kreutzer, M., Ernst, D., Bishop, A.R., Fehske, H., Hager, G., Nakajima, K., & Wellein, G. (2018). Chebyshev filter diagonalization on modern manycore processors and GPGPUs. Springer Verlag.
Shahzad, F., Thies, J., Kreutzer, M., Zeiser, T., Hager, G., & Wellein, G. (2018). CRAFT: A library for easier application-level Checkpoint/Restart and Automatic Fault Tolerance. IEEE Transactions on Parallel and Distributed Systems. https://dx.doi.org/10.1109/TPDS.2018.2866794
Wittmann, M., Haag, V., Zeiser, T., Köstler, H., & Wellein, G. (2018). Lattice Boltzmann benchmark kernels as a testbed for performance analysis. Computers & Fluids, 172, 582-592. https://dx.doi.org/10.1016/j.compfluid.2018.03.030
Hofmann, J., Hager, G., Wellein, G., & Fey, D. (2017). An Analysis of Core- and Chip-Level Architectural Features in Four Generations of Intel Server Processors. In High Performance Computing. ISC 2017. Lecture Notes in Computer Science, vol 10266. Frankfurt: Cham: Springer.
Galgon, M., Krämer, L., Lang, B., Alvermann, A., Fehske, H., Pieper, A.,... Thies, J. (2017). Improved coefficients for polynomial filtering in ESSEX. (pp. 63-79). Springer Verlag.
Hammer, J., Eitzinger, J., Hager, G., & Wellein, G. (2017). Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels. In Niethammer C, Gracia J, Hilbrich T, Knüpfer A, Resch MM, Nagel WE (Eds.), Tools for High Performance Computing 2016 (pp. 1--22). Stuttgart, Germany: Cham: Springer International Publishing.
Röhl, T., Eitzinger, J., Hager, G., & Wellein, G. (2017). LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses. (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

Zuletzt aktualisiert 2016-05-05 um 05:29