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; 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La Maison des Contes，敢于法国举行，并将召集来自美国，法国和其他国家的国际专家，讨论网络基础设施（CI）的进步。具体的重点将放在群集，云和高端数据分析之间存在的共同点上。 CI对几乎所有NSF研究都变得越来越重要，这使计算模拟和大型数据分析方法的使用越来越多。结果将在公开报告以及多个期刊论文中发布。结果将有助于并利用群集，云和数据分析计算的新思想，以使研究社区的利益。上述问题之间的建筑相似性以及高性能群集通常构成了计算网格和云的主要计算节点，这意味着围绕CLRUSE围绕CLS的计算云的部署，运行量和用法围绕CLRUSE围绕CLRUSE围绕CLRUSE CLRUSE CLRUSE CLUSE CLRUSE CLUSE围绕CLRUSE，这一事实构成了CLRUSE围绕CLRUSE CLRUSE CLAUSE CLRUSE围绕CLRUSE CLRUSE围绕CLRUSE围绕CLRUSE的问题。研讨会将重点关注五个任务：（1）调查和分析集群，云和数据分析的关键部署，操作和用法问题 - 特别关注多层和混合体系结构，数据密集型科学以及对广域/局部互动的越来越多的需求； （2）记录每个领域中每个领域中最新的最新技术，并确定有趣的问题和局限性； （3）与研究社区和科学领域相对于从该技术受益的研究社区和科学领域讨论经验； （4）探索不同的云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）探索以破坏性趋势和技术的背景以及当前最新阶段的公认差距探索未来研究和发展的方向。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估标准通过评估来进行评估的。