MRI-R2: Acquisition of a Hybrid CPU/GPU and Visualization Cluster for Multidisciplinary Studies in Transport Physics with Uncertainty Quantification

0960306Shaqfeh“这个奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。”这项建议是为了购买一个高性能的混合CPU/GPU和可视化集群(HPVC)，该集群旨在满足7个工作组的需求，每个工作组都参与高性能研究，以解决对全球和国家有重大影响的问题。HPVC集群的独特之处在于结合了最先进的计算机可视化，通过GPU架构增强了对大数据集的性能，以及计算不确定性量化(UQ)的发展。这些元素将被用于解决跨学科、多物理的运输问题，包括：(A)设计珊瑚礁流动中的营养物质运输工程(以保护我们的环境和拯救珊瑚礁)，(B)创伤和纳米粒子癌症疗法的发展，包括了解微循环中的止血(影响人类健康)，(C)模拟生物制剂在城市环境中的分散(用于国土安全)，(D)使用量子化学设计燃料电池的催化剂(朝着可持续能源发展)，(E)模拟蛋白质和核糖体的分子动力学(用于了解生命的基本过程)，(F)对喷气噪声的产生有一个基本的了解(为喷气、风扇等制定有效的噪音缓解战略)，最后，(G)为可持续建筑发展创造优化设计的算法(作为对可持续性这一更大问题的贡献)。HPVC将在教育中发挥关键作用，通过在斯坦福大学的一系列课程中将带有GPU增强加速的CPU引入课堂，以及举办关于GPU计算的新研讨会。应用于大规模HPC问题的不确定性量化的概念将通过新的UQ管道作为HPVC研究计划内的一种新软件交付使用。

0960306Shaqfeh"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."This proposal is for the acquisition of a high performance, Hybrid CPU/GPU and Visualization Cluster (HPVC) that is designed to serve the needs of 7 working groups where each is involved in HPC research to solve problems of large global and national impact. The unique aspects of the HPVC cluster lies, in the combination of state-of-the art computer visualization, enhanced performance with large datasets via GPU architecture, and the development of computational uncertainty quantification (UQ). These elements, , will be employed in the solution of interdisciplinary, multiphysics transport problems including (a) engineering Nutrient Transport in Oceanographic Coral Reef Flows (to protect our environment and save the reefs), (b) the Development of Trauma and Nanoparticle Cancer Therapies including understanding hemostasis in the microcirculation (impacting human health), (c) Modeling the Dispersion of Biological Agents in Urban Environments (for Homeland Security), (d) using Quantum Chemistry to Design Catalysts for Fuel Cells (toward sustainable energy development), (e) simulating the Molecular Dynamics of Proteins and the Ribosome (for understanding the basic processes of life), (f) developing a fundamental understanding of Jet Noise Creation (to develop effective noise mitigation strategies for jets, fans, etc.), and finally, (g) to create algorithms for Design Optimization for Sustainable Building Development (as a contribution toward the larger issue of sustainability). The HPVC will play a key role in education, via bringing CPU with GPU enhanced acceleration to the classroom in a spectrum of Stanford courses as well as new workshops on GPU computing. The concept of Uncertainty Quantification as applied to large scale HPC problems will be introduced via a new UQ pipeline as a novel software deliverable within the HPVC research program.