Workshop on Clusters, Clouds and Data Analytics in Scientific Computing

该研讨会将在法国里昂举行，来自美国和法国的国际专家将齐聚一堂，讨论网络基础设施（CI）的进展。具体重点将放在集群、云和数据分析计算之间存在的共性上。CI对几乎所有的NSF研究都变得越来越重要，它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和几篇期刊论文中。他们将贡献并利用集群、云和数据分析计算方面的新想法，以造福研究社区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这一事实，意味着围绕计算云的部署、运营和使用问题形成了围绕集群的问题的超集。该研讨会将讨论的主题包括：极端规模性能和相关软件开发问题，促进大型数据流的无缝移动、重组和分析所需的通用协议和API，为高度并行系统创建更容易的编程范例，创建可支持高度虚拟化环境中应用程序开发的工具，以及在多核异构体系结构和数据密集型应用中出现的系统管理问题。

This workshop will be held in Lyon, France, and will bring together international experts from the US and France to discuss advancements in cyberinfrastructure (CI). The specific focus will be on commonalities that exist between cluster, cloud, and data analytics computing. CI has become of growing importance to nearly all NSF research, which makes increasing use of computational simulation and large-data analysis methods. The results will be published in an open report as well as in several journal papers. They will contribute to and leverage new ideas in cluster, cloud, and data analytics computing for the benefit of the research communityThe 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 discuss topics such as extreme scale performance and related software development issues, common protocols and APIs necessary to facilitate seamless movement, recombination and analysis of large data flows, creating dramatically easier programming paradigms for highly parallel systems, creating tools that can support application development in highly virtualized environments, and system management problems that arise in multicore-heterogeneous architectures and data intensive applications.