Scientific Computing Research Environments for the Mathematical Sciences (SCREMS)

数学科学的科学计算研究环境 (SCREMS)

• 批准号: 0322583
• 负责人: Richard Braun
• 金额: $ 6.85万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0322583&HistoricalAwards=false
• 关键词: Scientific; Computing; Research; Environments; Mathematical

The Department of Mathematical Sciences at the University of Delaware will purchase a distributed memory parallel computer which will be dedicated to the support of research in the mathematical sciences. It will be used for several research projects, including: Ordering and coarsening dynamics for an fcc binary alloy (Braun); Domain decomposition for modal computations (Driscoll); Electromagnetic scattering (Monk); Vortex computations of vortex dipole evolution, dipole pair collisions and simulations of synthetic jets (Rossi). These projects all involve the numerical solution of complex partial differential equations in applied mathematics. Realistic solutions use algorithms which have large memory and time requirements. The proposed Beowulf cluster of 32 processors linked with a dedicated Myrinet will allow us to investigate these problems efficiently using parallel algorithms. The broader impacts of our proposal are twofold. First, we willgenerate new results of interest to environmental and materials scientists, fluid dynamicists, electrical engineers and the defense industry. Second, through involvement of graduate and undergraduate students in the proposed projects, we will prepare a new generation of applied mathematicians skilled in parallel computation.

特拉华州大学数学科学系将购买一台分布式存储并行计算机，用于支持数学科学研究。 它将用于几个研究项目，包括：fcc二元合金的有序化和粗化动力学（Braun）;模态计算的区域分解（Drivel）;电磁散射（Monk）;涡偶极演化的涡计算，偶极对碰撞和合成射流的模拟（Rossi）。 这些项目都涉及应用数学中复杂偏微分方程的数值求解。 现实的解决方案使用具有大的存储器和时间要求的算法。 建议的Beowulf集群的32个处理器与一个专用的Myrinet将使我们能够有效地使用并行算法来调查这些问题。 我们的建议的更广泛影响是双重的。 首先，我们将产生环境和材料科学家，流体动力学家，电气工程师和国防工业感兴趣的新成果。 第二，通过研究生和本科生参与拟议的项目，我们将准备新一代的应用数学家熟练的并行计算。