MRI: Acquisition of STEMS: A Laboratory for End-to-End Development of Software and Tools for Emerging Multigrain Supercomputers

MRI：收购 STEMS：新兴多晶超级计算机软​​件和工具端到端开发实验室

• 批准号: 0521381
• 负责人: Nikos Chrisochoides
• 金额: --
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0521381&HistoricalAwards=false
• 关键词: MRI; Acquisition; STEMS; Laboratory; End

This project, forming a test bed for the development of programming models and methodologies for multigrain parallel architectures, supports multidisciplinary research in areas that develop innovative software technology and services at the operating system, runtime system, and network layers supporting parallel mesh generation, visualization, and bioinformatics applications. The requested instrumentation is based on a processor that combines chip multiprocessing and simultaneous multithreading using two superscalar execution cores, each with advanced SMT capabilities on the same die. The IBM Power5 processor offers an opportunity for real development of algorithmic models, parallel programming systems, and low-level system software support for multilevel concurrency on multigrain architectures. The research is geared towards increasing programmer productivity on high-end systems. Moreover, the infrastructure supports an ITR project investigating the exploitation of multiple levels of concurrency from parallel mesh generation algorithms using clusters and SMP build around multithreaded processors and a CAREER awardee building generic parallel programming system for multigrain systems and investigating runtime adaptation of computation and layouts using continuous monitoring infrastructure. The acquisition will also enable advances in large-scale scientific visualization and parallel real-time visualization for large datasets. Furthermore, it will enable the deployment of transparent performance monitoring and virtualization services for end users who can utilize high-end clusters for computations distributed over geographically distant locations.Broader Impact: The work strengthens the impact of multiple collaborative and synergistic research hosting interdisciplinary studies with partners from medical schools (focusing on mesh generation for brain imaging) and computational biologists (focusing on transparent access to remote data sets for life science analysis pipelines). The facility also enriches the teaching environment in this mainly undergraduate serving institution. New offerings in scientific visualization and medical image computing will be enabled.

这个项目，形成了一个测试床的编程模型和方法的发展，多粒度并行架构，支持多学科研究领域的开发创新的软件技术和服务，在操作系统，运行时系统和网络层支持并行网格生成，可视化和生物信息学应用。所要求的仪器是基于一个处理器，结合芯片多处理和同步多线程使用两个超标量执行核心，每个先进的SMT功能在同一个芯片。IBM Power5处理器为算法模型、并行编程系统和多粒度体系结构上的多级并发的低级系统软件支持的真实的开发提供了机会。该研究旨在提高高端系统上的程序员生产力。此外，该基础设施支持ITR项目调查利用并行网格生成算法使用集群和SMP构建多线程处理器和一个职业获奖者建设通用并行编程系统的多粒度系统和调查运行时适应的计算和布局使用连续监测基础设施的多层次的并发性。此次收购还将推动大规模科学可视化和大型数据集的并行实时可视化。此外，它还将为最终用户部署透明的性能监控和虚拟化服务，这些最终用户可以利用高端集群进行分布在地理位置遥远的计算。这项工作加强了与医学院合作伙伴开展跨学科研究的多项协作和协同研究的影响（专注于大脑成像的网格生成）和计算生物学家（专注于透明访问生命科学分析管道的远程数据集）。该设施还丰富了这个主要为本科生服务的机构的教学环境。将启用科学可视化和医学图像计算方面的新产品。