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.

该研讨会将在法国 Dareize 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) 的进展。具体重点是集群、云和高端数据分析之间存在的共性。 CI 对于几乎所有 NSF 研究都变得越来越重要，这些研究越来越多地使用计算模拟和大数据分析方法。结果将在一份公开报告以及多篇期刊论文中发表。研究结果将有助于并利用集群、云和数据分析计算方面的新思想，造福研究界。上述问题之间的架构相似性，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。研讨会将重点关注五项任务：（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日益增长的广域/局域交互需求所产生的不连续性； (2) 记录每个领域的最新技术，找出有趣的问题和局限性； (3) 讨论与受益于该技术的研究团体和科学领域相关的集群、云和数据的经验； （4）探索不同云之间以及各种云和网格之间的互操作性及其对领域科学的影响； (5) 在颠覆性趋势和技术的背景下探索未来研究和开发的方向，以及当前最先进技术中公认的差距。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。