MRI: Acquisition of 100TF Graphics Processor Laboratory for Multiscale/Multiphysics Modeling

MRI：收购 100TF 图形处理器实验室用于多尺度/多物理场建模

• 批准号: 0923018
• 负责人: Mark Robbins
• 金额: $ 38.15万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0923018&HistoricalAwards=false
• 关键词: MRI; Acquisition; 100TF; Graphics; Processor; MRI; Acquisition; 100TF; Graphics; Processor

Complex systems that involve a wide range of length and time scales and different physical processes are at the forefront of science and engineering. New computational hardware and algorithms are needed to address these challenging problems. The goal of this award is to acquire a compute cluster built with graphics processor units that have the potential to dramatically accelerate calculations. The cluster will allow NSF funded research teams to develop new multiscale/multiphysics algorithms and implement them for graphics processors. Applications to solids will include modeling and optimization of the mechanical properties of materials with heterogeneous structures, connecting atomistic dynamics to the macroscopic response of disordered metals and polymers, and fracture under conditions from slow laboratory loads to planetary impact. The facility will also enable studies of fluids that address temporal and spatial complexity in turbulent flows, water waves and air-sea interactions, and multiphase flow of fluids and particles in porous media. Every member of society is affected by decisions or predictions based on computational simulations of critical processes, such as infrastructural integrity, energy production, and environmental processes. This facility will provide a platform for the development and application of new modeling paradigms and techniques for such complex problems. The facility will serve as the primary "laboratory" for the NSF-Integrative Graduate Education and Research Traineeship program on "Modeling Complex Systems - the Scientific Basis of Coupling Multi-Physics Models at Different Scales." It will play an essential role in the training of the students and postdoctoral scholars associated with this program, producing a cadre of computational scientists who can lead the application of new methods for modeling complex systems.

涉及各种长度和时间尺度以及不同物理过程的复杂系统位于科学和工程的最前沿。 需要新的计算硬件和算法来解决这些具有挑战性的问题。 该奖项的目的是获取一个使用图形处理器单元构建的计算集群，该单元有可能大幅加速计算。 该集群将允许NSF资助的研究团队开发新的多尺度/多物理算法并将其用于图形处理器。 对固体的应用将包括对具有异质结构的材料的机械性能进行建模和优化，将原子动力学连接到无序金属和聚合物的宏观响应，以及从缓慢的实验室负载到行星影响的条件下的断裂。 该设施还将实现对湍流，水波和空气相互作用的时间和空间复杂性的研究，以及多孔介质中流体和颗粒的多相流。基于关键过程的计算模拟，例如基础设施完整性，能源生产和环境过程，社会的每个成员都受到决策或预测的影响。 该设施将为开发和应用新的建模范式和技术提供一个平台，以解决此类复杂问题。 该设施将作为NSF综合研究生教育和研究实习计划的主要“实验室”，以“建模复杂系统建模 - 在不同尺度上耦合多物理模型的科学基础”。 它将在与该计划相关的学生和博士后学者的培训中起着至关重要的作用，从而产生了一批计算科学家，他们可以领导应用新方法来建模复杂系统。