Workshop on Clusters, Clouds, and Data Analytics for Scientific Computing

科学计算集群、云和数据分析研讨会

• 批准号: 2001329
• 负责人: Jack Dongarra
• 金额: $ 2万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2001329&HistoricalAwards=false
• 关键词: Workshop; Clusters; Clouds; Data; Analytics

This workshop will be held in La Maison Des Contes, Dareize, France, and will bring together international experts from the US, France, and other countries to discuss advances in cyberinfrastructure (CI). The specific focus will be on commonalities that exist between cluster, cloud, and high-end data analytics. CI has become of growing importance to nearly all NSF research, which makes increasing use of computational simulations and large-data analytics methods. The results will be published in an open report as well as in multiple journal papers. The results will contribute to and leverage new ideas in cluster, cloud, and data analytics computing for the benefit of the research community.The architectural similarities between the above issues, and the fact that high performance clusters typically make up the major compute nodes of computational grids and clouds, means that deployment, operational, and usage issues surrounding computational clouds form a superset of the issues that revolve around clusters. The workshop will focus on five tasks: (1) survey and analyze the key deployment, operational, and usage issues for clusters, clouds, and data analytics-- focusing especially on discontinuities produced by multicore and hybrid architectures, data-intensive science, and the increasing need for wide-area/local-area interaction; (2) document the current state-of-the-art in each of these areas, identifying interesting questions and limitations; (3) discuss experiences with clusters, clouds, and data relative to the research communities and science domains benefiting from the technology; (4) explore interoperability among disparate clouds and between various clouds and grids and their impact on domain sciences; and (5) explore directions for future research and development against the background of disruptive trends and technologies and the recognized gaps in the current state-of-the-art.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这次研讨会将在法国达雷泽的La Maison des Contes举行，来自美国、法国和其他国家的国际专家将齐聚一堂，讨论网络基础设施(CI)方面的进展。具体重点将放在集群、云和高端数据分析之间存在的共性上。CI对几乎所有NSF研究都变得越来越重要，NSF研究越来越多地使用计算模拟和大数据分析方法。研究结果将发表在一份公开报告以及多篇期刊论文中。这些结果将有助于并利用集群、云和数据分析计算方面的新想法，以造福于研究界。上述问题之间的体系结构相似性，以及高性能集群通常构成计算网格和云的主要计算节点的事实，意味着围绕计算云的部署、操作和使用问题形成了围绕集群的问题的超集。研讨会将集中于五项任务：(1)调查和分析集群、云和数据分析的关键部署、操作和使用问题--特别关注多核和混合架构、数据密集型科学以及对广域/局域交互日益增长的需求所产生的不连续性；(2)记录每个领域的当前最新水平，找出有趣的问题和限制；(3)讨论与集群、云和数据相关的经验，研究社区和科学领域受益于技术；(4)探索不同云之间以及不同云和网格之间的互操作性及其对领域科学的影响；以及(5)在颠覆性趋势和技术以及当前最先进技术中公认的差距的背景下，探索未来研究和发展的方向。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。