MRI: Acquisition of Hybrid CPU/GPU Nodes for the Interdisciplinary UMBC High Performance Computing Facility

提案编号：12- 28778 PI（s）：Matthias K Gobbert; Erill，Ivan; Olano，托马斯M; Sparling，林恩; Thorpe，Ian机构：马里兰州大学巴尔的摩县标题： MRI/采集： 用于跨学科UMBC高性能计算设施的混合CPU/GPU节点 项目建议：该项目旨在收购一台基于先进GPU/CPU计算机的仪器，该计算机具有360 TB高性能存储和高速通信链路，旨在增强目前的UMBC高性能计算设施。该仪器使新兴的数据密集型高性能计算主题的研究成为可能。这个多学科和协作项目涉及来自生物学，化学，计算机科学与工程，电气工程，环境系统，数学，物理学和统计学的教师和学生。以下当前以及新的研究项目，立即受益于增强型高性能计算仪器的可用性：-偏微分方程数值模拟的并行算法; -GPU处理在大气化学和动力学建模中的应用;-大气遥感;等。该研究团队，包括女教师，与妇女在科学和工程（WISE）组织和妇女在技术中心（CWIT）的互动。本科生将参与UMBC REU网站的高性能计算。此外，仪器应有助于吸引代表性不足群体的学生进入科学领域。提出了这样做的计划和倡议。

Proposal #: 12-28778PI(s): Matthias K Gobbert; Erill, Ivan; Olano, Thomas M; Sparling, Lynn; Thorpe, IanInstitution: University of Maryland Baltimore CountyTitle: MRI/Acq.: Hybrid CPU/GPU Nodes for the Interdisciplinary UMBC High Performance Computing Facility Project Proposed:This project, acquiring an instrument based on advanced GPU/CPU computers with 360 TB high-performance storage and high-speed communication links, aims to enhance the current UMBC High Performance Computing Facility. The instrument enables research in emerging data-intensive high-performance computing topics. This multi-disciplinary and collaborative project involves faculty and students from biology, chemistry, computer science and engineering, electrical engineering, environmental systems, mathematics, physics, and statistics. The following current, as well as new research projects, benefit immediately from the availability of the enhanced high-performance computing instrument:- Parallel Algorithms for Numerical Simulations of Partial Differential Equations; - Application of GPU Processing to Atmospheric Chemistry and Dynamics Modeling;- Atmospheric Remote Sensing; etc.Broader Impacts:Research and educational initiatives should be highly impacted by the research enabled through the instrument. The research team, including female faculty members, has interactions with the Women in Science and Engineering (WISE) organization and the Center for Women in Technology (CWIT). Undergraduate students will be involved in the UMBC REU site on high performance computing. Furthermore, the instrumentation should contribute to attract students from under-represented groups into sciences. Presented are plans and initiatives to do so.