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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Alvermann, A., Basermann, A., Bungartz, H.J., Carbogno, C., Ernst, D., Fehske, H.,... Wellein, G. (2019). Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects. Japan Journal of Industrial and Applied Mathematics. https://dx.doi.org/10.1007/s13160-019-00360-8
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
Wittmann, M., Hager, G., Janalik, R., Lanser, M., Klawonn, A., Rheinbach, O.,... Wellein, G. (2018). Multicore Performance Engineering of Sparse Triangular Solves Using a Modified Roofline Model. In 2018 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2018) (pp. 233-241). Lyon, FR: NEW YORK: IEEE.
Anzt, H., Kreutzer, M., Ponce, E., Peterson, G.D., Wellein, G., & Dongarra, J. (2018). Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. International Journal of High Performance Computing Applications, 32(2), 220-230. https://dx.doi.org/10.1177/1094342016646844
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.

Zuletzt aktualisiert 2016-05-05 um 05:29