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

涉及广泛长度和时间尺度以及不同物理过程的复杂系统处于科学和工程的前沿。需要新的计算硬件和算法来解决这些具有挑战性的问题。该奖项的目标是获得一个由图形处理器单元构建的计算集群，这些单元具有显著加速计算的潜力。该集群将允许NSF资助的研究团队开发新的多尺度/多物理场算法，并将其应用于图形处理器。固体的应用将包括非均质结构材料力学性能的建模和优化，将原子动力学与无序金属和聚合物的宏观响应联系起来，以及从缓慢的实验室载荷到行星撞击等条件下的断裂。该设施还将使流体研究能够解决湍流、水波和海气相互作用以及多孔介质中流体和颗粒的多相流动的时空复杂性。每个社会成员都受到基于关键过程（如基础设施完整性、能源生产和环境过程）的计算模拟的决策或预测的影响。该设施将为此类复杂问题的新建模范例和技术的开发和应用提供一个平台。该设施将作为nsf综合研究生教育和研究培训计划的主要“实验室”，该计划的主题是“复杂系统建模-不同尺度下耦合多物理模型的科学基础”。它将在培养与该项目相关的学生和博士后学者方面发挥重要作用，培养一批能够领导复杂系统建模新方法应用的计算科学家骨干。

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.