Heidelberg University (Coordinator)
Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
The „Engineering Mathematics and Computing Lab” (EMCL) is a research group at the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University. The Interdisciplinary Center for Scientific Computing (IWR) is a central research center at Heidelberg University, which promotes and fosters interdisciplinary research in mathematical modelling and computational methods in science and technology. As a research group at IWR, EMCL is dedicated to interdisciplinary research activities in the domains of scientific computing, numerical optimization and high performance computing. In cooperation with institutes of the UHEI and industrial partners, the EMCL currently works on topics in the areas of biotechnology, medical engineering, environmental sciences and energy research.
Contribution to EXA2GREEN
UHEI is working at the intersection of mathematics and computer science, the EMCL's focus is on how to translate mathematical models to modern hardware systems. Deriving energy- efficient linear equation solvers requires a strong background in numerical mathematics and computer science, and UHEI disposes of this expertise. The combination with its strong competences in computer science and optimization theory thanks to its experience in the use and development of hardware-optimized algorithms, including Clusters as well as Coprocessor Technology like Graphics Processing Units (GPUs) or Field Programmable Gate Arrays (FPGAs), enables the institution to face the challenges associated with the EXA2GREEN project. Finally, EMCL has a broad experience in the energy-analysis of linear system solvers and scientific simulation algorithms.
UHEI is working at the intersection of mathematics and computer science, the EMCL's focus is on how to translate mathematical models to modern hardware systems. Deriving energy- efficient linear equation solvers requires a strong background in numerical mathematics and computer science, and UHEI disposes of this expertise. The combination with its strong competences in computer science and optimization theory thanks to its experience in the use and development of hardware-optimized algorithms, including Clusters as well as Coprocessor Technology like Graphics Processing Units (GPUs) or Field Programmable Gate Arrays (FPGAs), enables the institution to face the challenges associated with the EXA2GREEN project. Finally, EMCL has a broad experience in the energy-analysis of linear system solvers and scientific simulation algorithms.
Prof. Dr. Vincent Heuveline
E-mail: vincent.heuveline@iwr.uni-heidelberg.de
Web: www.iwr.uni-heidelberg.de
E-mail: vincent.heuveline@iwr.uni-heidelberg.de
Web: www.iwr.uni-heidelberg.de
Prof. Vincent Heuveline
Exa2Green Activities / Role in the project:
Vincent Heuveline holds a full professor for scientific computing, is the director of the University Computing Center (URZ) at Heidelberg University and is also head of the research group Engineering Mathematics and Computing Lab (EMCL) at the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University. Vincent Heuveline is also leading the research group Data Mining and Uncertainty Quantification at the Heidelberg Institute for Theoretical Studies (HITS). His research interests include mathematical modelling, numerical simulation, optimisation, high performance computing, cloud computing and software engineering. Vincent Heuveline is (co-) author of more than 90 publications in international journals and reviewed conference proceedings. He serves as program committee member of several international conferences on high performance computing. He is widely consulted for industry with respect to the deployment of numerical simulation and high performance computing in industrial environments.
- Overall coordinator, strong involvement in dissemination activities (WP7) and project management (WP6)
- Leader of WP4: Advancing hardware-aware algorithms. This work package not only utilizes the developments of other work packages to develop energy-efficient solvers, but also serves as pool block to work package WP5, optimizing the energy-consumption of COSMO-Art.
- Contribution to WP3: Development of linear algebra libraries at UJI
Background and research/work focus:
Vincent Heuveline holds a full professor for scientific computing, is the director of the University Computing Center (URZ) at Heidelberg University and is also head of the research group Engineering Mathematics and Computing Lab (EMCL) at the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University. Vincent Heuveline is also leading the research group Data Mining and Uncertainty Quantification at the Heidelberg Institute for Theoretical Studies (HITS). His research interests include mathematical modelling, numerical simulation, optimisation, high performance computing, cloud computing and software engineering. Vincent Heuveline is (co-) author of more than 90 publications in international journals and reviewed conference proceedings. He serves as program committee member of several international conferences on high performance computing. He is widely consulted for industry with respect to the deployment of numerical simulation and high performance computing in industrial environments.
Contact
Phone:
+49 (0) 6221 548804
vincent.heuveline@iwr.uni-heidelberg.de
+49 (0) 6221 548804
e-Mail:
vincent.heuveline@iwr.uni-heidelberg.de
Martin Wlotzka
Exa2Green Activities / Role in the project:
Main technical contact for the work package WP4 and involvement in coordination activities at the technical level.
Martin Wlotzka graduated in Techno-Mathematics with minors in Physics and Computer Science at the Karlsruhe Institute of Technology (KIT). He joined the Engineering Mathematics and Computing Lab (EMCL) as PhD student and research associate in 2011. He is working on a number of software projects in the context of high performance computing with partners from various disciplines. He developed parallel communication routines allowing redistribution of data during runtime for the dynamic parallel software coupling tool OpenPALM in collaboration with Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS, Toulouse). He is currently developing a distributed memory parallelization based on a domain decomposition approach for the hydrology simulation tool Catchment Modelling Framework (CMF) with partners from University of Giessen. He is also part of the developer team of the parallel multi-platform Finite Element package HiFlow3. His research interests lie on model coupling approaches for multiphysics problems, efficient sparse linear solvers and optimization.
Main technical contact for the work package WP4 and involvement in coordination activities at the technical level.
Background and research/work focus:
Martin Wlotzka graduated in Techno-Mathematics with minors in Physics and Computer Science at the Karlsruhe Institute of Technology (KIT). He joined the Engineering Mathematics and Computing Lab (EMCL) as PhD student and research associate in 2011. He is working on a number of software projects in the context of high performance computing with partners from various disciplines. He developed parallel communication routines allowing redistribution of data during runtime for the dynamic parallel software coupling tool OpenPALM in collaboration with Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS, Toulouse). He is currently developing a distributed memory parallelization based on a domain decomposition approach for the hydrology simulation tool Catchment Modelling Framework (CMF) with partners from University of Giessen. He is also part of the developer team of the parallel multi-platform Finite Element package HiFlow3. His research interests lie on model coupling approaches for multiphysics problems, efficient sparse linear solvers and optimization.
Contact
Phone:
+49 (0) 6221 548783
martin.wlotzka@uni-heidelberg.de
+49 (0) 6221 548783
e-Mail:
martin.wlotzka@uni-heidelberg.de
