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Banquet and Invited Speech Why Peta-Scale is Different: An Ecosystem Approach to Predictive Scientific and Engineering Simulation

机译:宴会和特邀演讲为何Peta规模不同:一种用于预测科学和工程仿真的生态系统方法

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With the recent advent of 100s of teraFLOP/s-scale simulations capability at Lawrence Livermore National Laboratory and other sites, it has become clear that the scientific method has changed. This transition has taken us from theory and experiment to theory and experiment being tightly integrated by simulation. With the advent of peta-scale simulations on the horizon it is appropriate to take stock of the recent advances and to look forward to the coming wave of future systems. In this talk we focus on some areas of science that open up with peta-scale systems and how this is VERY different from the science one can accomplish with a single workstation (giga-scale simulation). In actual fact, the science enabled by tera-scale and peta-scale systems require a whole new approach to the scientific method. One of the things we are starting to realize being at the leading edge of applying this new technology, is that with the coming onset of peta-scale simulations (systems, visualization, and applications) is that we may be headed for huge scientific breakthroughs enabled
机译:劳伦斯·利弗莫尔国家实验室(Lawrence Livermore National Laboratory)和其他站点最近以100兆teraFLOP / s规模的仿真能力出现,很明显,科学方法已经发生了变化。这种转变将我们从理论和实验带到了通过仿真紧密集成的理论和实验。随着PB级模拟的出现,应该对最新的进展进行评估,并期待即将来临的未来系统浪潮。在本次演讲中,我们将重点介绍可扩展到Peta级系统的科学领域,以及与单个工作站可以完成的科学领域(千兆级仿真)有何不同。实际上,由万亿次和千万亿次系统实现的科学需要一种全新的科学方法。我们正在意识到在应用这项新技术方面处于领先地位的一件事是,随着Peta规模仿真(系统,可视化和应用程序)的出现,我们可能将朝着实现巨大的科学突破的方向迈进。

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    《》|2007年|14-15|共2页
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    Seager; Mark;

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