Publications

Citation: In International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2017, Scopus, Elsevier

Created: 7th Sep 2019 at 10:40, Last updated: 5th Mar 2024 at 21:23

Energy-efficient multigrid smoothers and grid transfer operators on multi-core and GPU clusters

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Martin Wlotzka, Vincent Heuveline

Date Published: 2017

Publication Type: Journal

Citation: Journal of Parallel and Distributed Computing, 100:181–192

Created: 7th Sep 2019 at 10:40, Last updated: 5th Mar 2024 at 21:23

Energy-Aware High Performance Computing

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Martin Wlotzka, Vincent Heuveline, Manuel F Dolz, M Reza Heidari, Thomas Ludwig, A Cristiano I Malossi, Enrique S Quintana-Orti

Date Published: 2017

Publication Type: InCollection

Citation: In ICT-Energy Concepts for Energy Efficiency and Sustainability, InTech

Created: 7th Sep 2019 at 10:40, Last updated: 5th Mar 2024 at 21:23

Parallel multiphysics simulations using OpenPALM with application to hydrology-biogeochemistry coupling

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: M. Wlotzka, V. Heuveline, S. Klatt, D. Kraus, E. Haas, R. Kiese, K. Butterbach-Bahl, P. Kraft, L. Breuer

Date Published: 2017

Publication Type: InCollection

Citation: In Modeling, Simulation and Optimization of Complex Processes - HPSC 2015, Eds: Bock, H.G. and Phu, H.X. and Rannacher, R. and Schlöder, J.P., Springer

Created: 7th Sep 2019 at 10:40, Last updated: 5th Mar 2024 at 21:23

An energy-efficient parallel multigrid methods for multi-core CPU platforms and HPC clusters

Data Mining and Uncertainty Quantification