Sciences Naturelles et de l'Ingénieur
Global gyrokinetic electrostatic turbulence simulations usin... ›
Sciences Naturelles et de l'Ingénieur
Local and global gyrokinetic simulations of microturbulence ... ›
Sciences Naturelles et de l'Ingénieur
Numerical Simulation of the Cardiovascular System ›
Sciences Naturelles et de l'Ingénieur
Numerical simulation of the fast ion dynamics in thermonucle... ›
Sciences Naturelles et de l'Ingénieur
Atomic-Scale Investigation of the Defect Levels at Ge and II... ›
Sciences Naturelles et de l'Ingénieur
Application of classical, mixed quantum mechanical/molecular... ›
Sciences Naturelles et de l'Ingénieur
Physico-chemical processes at surfaces and in solution ›
Sciences Naturelles et de l'Ingénieur
Large-Eddy Simulations of High Reynolds Number Incompressibl... ›
Sciences Naturelles et de l'Ingénieur
Large Eddy Simulation of Particle Removal inside a Different... ›
Dr. Heinz Stockinger Researcher in the Swiss Institute of Bioinformatics (SIB), Vital-IT
Heinz is a computer scientist and specialist in Grid and distributed computing. He previously worked in international Grid projects at CERN (Geneva) and SLAC (USA) in various functions. He joined Vital-IT in 2006 to work for the EMBRACE Grid project. He is a member of the Executive Board of the Swiss National Grid Association (SwiNG). Heinz was appointed «Privatdozent» at the University of Vienna (Faculty of Computer Science), where he was leading the Research Lab for Computational Technologies and Applicat in 2005. Currently, he also has a teaching appointment at EPFL. Heinz holds a Ph.D. degree in Computer Science and Business Administration from the University of Vienna, Austria.
Sciences de la Vie
Benchmarking of life-science applications
Researcher in the Swiss Institute of Bioinformatics (SIB), Vital-IT
20 January 2011
The Vital-IT High Performance Computing Center supports a wide range of different life science applications on its heterogeneous HPC cluster. Several of the applications also use MPI to provide speedup execution time. The goal of the project is to benchmark a set of life-science applications (including adapting the code to BlueGene/P where necessary) in order to test how applications scale to a large number of processing cores and high-speed interconnect. This knowledge will be fed back to the Arc Lémanique scientific user community to find optimal execution environments for specific applications in the domain of life-sciences (HPC clusters vs. supercomputers).
