Characteristic Science Applications for the Leadership Class Computing Facility

领先级计算设施的特色科学应用

• 批准号: 2139536
• 负责人: Daniel Stanzione
• 金额: $ 699.94万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2139536&HistoricalAwards=false
• 关键词: Characteristic; Science; Applications; Leadership; Class

The goal of this project is to select, study, and transform a set of Characteristic Science Applications (CSAs) to enable next-generation science on the NSF Leadership-Class Computing Facility (LCCF). The CSAs were chosen to represent a broad range of science domains and computational approaches, and each CSA will comprise one or more computer codes and a challenge problem to be solved on the LCCF. The set of CSAs will enable the project to verify the design of the LCCF and validate that the facility is applicable across the broad range of science disciplines supported by the NSF when it is constructed. Furthermore, the transformations made to the codes and workflows in the CSAs will provide best practice models and implementation exemplars that will inform training materials, tutorials, and other educational content. This will ensure that the nation's science and engineering research community will be effective on the LCCF from day one of operations.The project plans to evaluate a broad selection of science applications and challenge problems, laying the foundations for a transformation of the computer codes in a way that will support the LCCF broad goal of enabling a ten-fold or more time to solution performance improvement over NSF's current leadership computing resource, Frontera. This capability improvement will come from a combination of increased scale of the LCCF primary computing system(s), increased capabilities of the components (on-node I/O bandwidth, inter-node I/O bandwidth, disk and memory bandwidth, access speed, cores, etc.) that make up the computing instrument, and improvements in the software codes that make up the set of science applications used to demonstration ten-fold performance improvement.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.

该项目的目标是选择、研究和改造一组特征科学应用程序 (CSA)，以在 NSF 领导级计算设施 (LCCF) 上实现下一代科学。选择 CSA 来代表广泛的科学领域和计算方法，每个 CSA 将包含一个或多个计算机代码以及 LCCF 上要解决的挑战问题。这套 CSA 将使该项目能够验证 LCCF 的设计，并验证该设施在建造时是否适用于 NSF 支持的广泛科学学科。 此外，对 CSA 中的代码和工作流程进行的转换将提供最佳实践模型和实施范例，为培训材料、教程和其他教育内容提供信息。 这将确保国家科学和工程研究界从运行的第一天起就在 LCCF 上发挥作用。该项目计划评估广泛的科学应用选择并挑战问题，为计算机代码的转变奠定基础。这将支持 LCCF 的总体目标，即使解决方案性能比 NSF 当前领先的计算资源 Frontera 提高十倍或更多。这种能力的改进将来自于 LCCF 主计算系统规模的扩大、组件功能的增加（节点内 I/O 带宽、节点间 I/O 带宽、磁盘和内存带宽、访问速度）的组合。 、核心等），以及组成科学应用程序集的软件代码的改进，用于演示十倍的性能改进。该奖项反映了 NSF 的法定使命，并被认为值得通过以下方式提供支持：利用基金会的智力优势和更广泛的影响进行评估审查标准。