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Titlebook: High Performance Computing on Vector Systems 2008; Michael Resch,Sabine Roller,Toshio Hirayama Conference proceedings 2009 Springer-Verlag

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书目名称High Performance Computing on Vector Systems 2008
编辑Michael Resch,Sabine Roller,Toshio Hirayama
视频video
概述Includes supplementary material:
图书封面Titlebook: High Performance Computing on Vector Systems 2008;  Michael Resch,Sabine Roller,Toshio Hirayama Conference proceedings 2009 Springer-Verlag
描述This book covers the results obtained in the Tera op Workbench project during a four years period from 2004 to 2008. The Tera op Workbench project is a colla- ration betweenthe High PerformanceComputingCenter Stuttgart (HLRS) and NEC Deutschland GmbH (NEC-HPCE) to support users to achieve their research goals using high performance computing. The Tera op Workbench supports users of the HLRS systems to enable and - cilitate leading edge scienti c research. This is achieved by optimizing their codes and improving the process work ow which results from the integration of diff- ent modules into a “hybrid vector system”. The assessment and demonstration of industrial relevance is another goal of the cooperation. The Tera op Workbench project consists of numerous individual codes, grouped together by application area and developed and maintained by researchers or c- mercial organizations. Within the project, several of the codes have shown the ab- ity to reach beyond the TFlop/s threshold of sustained performance. This created the possibility for new science and a deeper understanding of the underlying physics. The papers in this book demonstrate the value of the project for different sc
出版日期Conference proceedings 2009
关键词Simulation; Software; astrophysics; calculus; chemistry; computational science and engineering; data analy
版次1
doihttps://doi.org/10.1007/978-3-540-85869-0
isbn_softcover978-3-642-09941-0
isbn_ebook978-3-540-85869-0
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Development of Cognitive Methodology based Data Analysis Systemlication experiment using a virtual plant vibration simulator has been performed to confirm the implementability of the system. The results obtained demonstrate that the CDAS enables researchers to dynamically set essential functions for evaluation and judgment, enabling them to readily extract mean
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Scalable Computing in a Hybrid System Architectureple functional units as well as multiple cores. In order to reach Petaflop scale, well over 100000 processor cores need to be employed in such a system. This trend is expected to continue for the next couple of years, thus the biggest challenge is making this computational power available to a wider
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