High Performance Computing In Science And Engineering Munich 2002
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High Performance Computing in Science and Engineering, Munich 2002
Author: Siegfried Wagner
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
High-Performance Computers (HPC) have initiated a revolutionary develop ment in research and technology since many complex and challenging prob lems in this area can only be solved by HPC and a network in modeling, algo rithms and software. In 1998 the Deutsche Forschungsgemeinschaft (German Research Association) recommended to install an additional Federal High Performance Computer followed by the one in Stuttgart. In January 1999 the Wissenschaftsrat (German Science Council) decided that the Leibniz Rechenzentrum (Computing Center) of the Bavarian Academy of Sciences in Munich should run the second Federal High-Performance Computer in Ger many. The investment cost of this Hochstleistungsrechner in Bayern (HLRB) was borne by the Federal Government of Germany and the Free State of Bavaria whereas the operating cost was at the expense of the Bavarian Gov ernment only. The operation of the HLRB is organized in combination with the - Leibniz-Rechenzentrum (LRZ) of the Bavarian Academy of Sciences as the operating authority of the HLRB - Steering Committee of the HLRB - Competence Network for Technical/Scientific High-Performance Comp- ing in Bavaria (KONWIHR). In 2000 a Hitachi SR8000-Fl was installed. It was the first Teraflops Com puter in Germany and reached a peak performance of two Teraflops after an extension at the end of 2001. The goal of HLRB is to provide computer facil ities necessary to solve challenging scientific and technological problems that cannot be solved on big servers but require large (storage) high-performance (very fast) computers and efficient software.
High Performance Computing in Science and Engineering, Munich 2004
Author: Siegfried Wagner
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-12-06
Leading-edge research groups in the field of scientific computing present their outstanding projects using the High Performance Computer in Bavaria (HLRB), Hitachi SR8000-F1, one of the top-level supercomputers for academic research in Germany. The projects address modelling and simulation in the disciplines Biosciences, Chemistry, Chemical Physics, Solid-State Physics, High-Energy Physics, Astrophysics, Geophysics, Computational Fluid Dynamics, and Computer Science. The authors describe their scientific background, their resource requirements with respect to top-level supercomputers, and their methods for efficient utilization of the costly high-performance computing power. Contributions of interdisciplinary research projects that have been supported by the Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR) complete the broad range of supercomputer research and applications covered by this volume.
High Performance Computing in Science and Engineering, Garching/Munich 2007
Author: Siegfried Wagner
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-10-22
For the fourth time, the Leibniz Supercomputing Centre (LRZ) and the Com- tence Network for Technical, Scienti c High Performance Computing in Bavaria (KONWIHR) publishes the results from scienti c projects conducted on the c- puter systems HLRB I and II (High Performance Computer in Bavaria). This book reports the research carried out on the HLRB systems within the last three years and compiles the proceedings of the Third Joint HLRB and KONWIHR Result and Reviewing Workshop (3rd and 4th December 2007) in Garching. In 2000, HLRB I was the rst system in Europe that was capable of performing more than one Tera op/s or one billion oating point operations per second. In 2006 it was replaced by HLRB II. After a substantial upgrade it now achieves a peak performance of more than 62 Tera op/s. To install and operate this powerful system, LRZ had to move to its new facilities in Garching. However, the situation regarding the need for more computation cycles has not changed much since 2000. The demand for higher performance is still present, a trend that is likely to continue for the foreseeable future. Other resources like memory and disk space are currently in suf cient abundance on this new system.