Acquisition of Large-Memory, Many-Core Compute Node for Mathematical Science Research

为数学科学研究获取大内存、多核计算节点

• 批准号: 1026385
• 负责人: Matthew Saltzman
• 金额: $ 12.72万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1026385&HistoricalAwards=false
• 关键词: Acquisition; Large; Memory; Many; Core

The purchase of a large-memory, many-core computing system and its integration into a large, distributed, high-performance computing cluster provides the opportunity for researchers at Clemson to increase the size of problems that can be solved in several research areas in the mathematical sciences and to scale up shared-memory, parallel algorithms in anticipation of new, many-core computing systems under development by chip manufacturers. In addition, it creates the possibility of developing innovative, heterogeneous, shared-distributed algorithms for problems where that approach is promising. Among the important areas where large-memory and heterogeneous computing systems promise to be effective are: computational optimization, simulation of 3-D filter systems, statistical models of reliability and survival, computational cell biology, biochemical modeling, quantum molecular dynamics, and combinatorial number theory. Large-memory, many-core systems are not widely available to researchers in the US. This resource will be a valuable addition to the pool of resources for scientific computing in the United States.

购买大内存、众核计算系统并将其集成到一个大型、分布式、高性能计算集群中，为克莱姆森的研究人员提供了一个机会，可以增加数学科学中几个研究领域可以解决的问题的规模，并扩大共享内存、并行算法，以应对芯片制造商正在开发的新的众核计算系统。 此外，它创造了开发创新的，异构的，共享分布式算法的问题，这种方法是有前途的可能性。 大内存和异构计算系统有望发挥作用的重要领域包括：计算优化、三维过滤系统模拟、可靠性和生存的统计模型、计算细胞生物学、生物化学建模、量子分子动力学和组合数论。 大内存、众核系统在美国的研究人员中并不普遍。 这一资源将是对美国科学计算资源库的宝贵补充。