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Preface for the Joint Workshop on Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing

机译:大规模计算的计算科学与软件工程方案开发和分析工具的联合研讨会

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摘要

Today, computers and computational methods are increasingly important and powerful tools for science and engineering. Yet, using them effectively and efficiently requires both, expert knowledge of the respective application domain as well as solid experience applying the technologies. Only the combination allows new and faster advancement in the area of application. The same is true for establishing new computational concepts as regular methods in the field of application. This applies to either quantitative improvement (e.g. by parallel scalability) or by qualitative progress (e.g. by better algorithms).
机译:如今,计算机和计算方法越来越重要,有力的科学和工程工具。然而,有效和有效地使用它们,需要各自应用领域的专家知识以及应用技术的实体体验。只有组合允许在应用领域进行新的和更快的进步。对于在应用领域中将新的计算概念作为常规方法建立新的计算概念也是如此。这适用于定量改进(例如通过并行可扩展性)或通过定性进展(例如,通过更好的算法)。

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