CRI: IAD: A Service-Oriented Architecture for The Computation, Visualization, and Management of Scientific Data

CRI：IAD：面向服务的科学数据计算、可视化和管理架构

• 批准号: 0751152
• 负责人: Claudio Silva
• 金额: --
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751152&HistoricalAwards=false
• 关键词: CRI; IAD; Service; Oriented; Architecture

Advanced computing capabilities are now essential to solve complex problems in science and engineering. Computer models have become fundamental to basic research. They are increasingly useful in addressing, in realistic detail, the subtle parameters of the physical systems being modeled. Underlying this increasing relevance of computer models is the enormous, and relatively recent, increase in available low-cost compute power. These advances in computing power and hence in computer modeling and simulation have brought about the emergent field of scientific computing, in which scientists and engineers from multiple disciplines collaborate in understanding a variety of complex systems not approachable only a few years ago.This infrastructure project proposes the establishment of a high-performance GPU-based computing cluster at the Scientific Computing and Imaging Institute (SCI Institute) at the University of Utah. In contrast to the standard approach of using CPUs for computation and GPUs for graphics and visualization tasks, this project aims to explore the power of GPUs for general computations. Our goal is to obtain substantially higher performance per node than what can currently be accomplished with a CPU-based computing cluster. With multiple GPUs per node, this unique computational resource enables scientists to efficiently carry out increasingly complex scientific computations. The proposed infrastructure also includes a high-resolution display wall to be used for visualization, and database and Web servers.The infrastructure enables research in efficient execution of simulations; streamlining the creation of complex data products; producing high-quality visualizations; and scientific workflows leading to simplifying the process of designing simulations and analyzing their results. This project has the potential to impact a variety of applications where computation, visualization, and management of scientific data are currently the bottlenecks. Through our interdisciplinary collaborations, this project will have immediate impact in helping improve the scientific discovery process. The involvement of graduate and undergraduate students in the project will provide mentoring opportunities. New courses will be offered that are tightly integrated with the goals of the project, including courses on parallel programming using GPUs and on scientific data management. The PIs are committed to recruiting minority students.The results of this project will be disseminated as research papers and as freely available tools in the project website (http://www.cs.utah.edu/~csilva/projects/NSF-IIS-0751152/).

先进的计算能力现在对于解决科学和工程中的复杂问题至关重要。计算机模型已成为基础研究的基础。它们在以实际细节解决所建模的物理系统的微妙参数方面越来越有用。计算机模型相关性日益增强的背后是可用的低成本计算能力的巨大且相对较新的增长。计算能力的进步以及计算机建模和仿真的进步带来了科学计算的新兴领域，来自多个学科的科学家和工程师合作理解几年前还无法实现的各种复杂系统。该基础设施项目提出在犹他大学科学计算与成像研究所（SCI 研究所）建立基于 GPU 的高性能计算集群。与使用 CPU 进行计算、使用 GPU 进行图形和可视化任务的标准方法相比，该项目旨在探索 GPU 在一般计算中的强大功能。我们的目标是让每个节点获得比目前基于 CPU 的计算集群更高的性能。每个节点有多个 GPU，这种独特的计算资源使科学家能够有效地执行日益复杂的科学计算。拟议的基础设施还包括用于可视化的高分辨率显示墙、数据库和网络服务器。该基础设施使研究能够有效地执行模拟；简化复杂数据产品的创建；产生高质量的可视化；科学的工作流程可以简化模拟设计和结果分析的过程。该项目有可能影响各种应用程序，其中科学数据的计算、可视化和管理目前是瓶颈。通过我们的跨学科合作，该项目将对帮助改进科学发现过程产生直接影响。研究生和本科生参与该项目将提供指导机会。将提供与该项目目标紧密结合的新课程，包括有关使用 GPU 的并行编程和科学数据管理的课程。 PI 致力于招收少数族裔学生。该项目的结果将作为研究论文和项目网站上免费提供的工具进行传播 (http://www.cs.utah.edu/~csilva/projects/NSF-IIS -0751152/)。