Renovation of the Guggenheim Computing Research Facilities at Georgia Tech
Renovation of the Guggenheim Computing Research Facilities at Georgia Tech
批准号:
9415190
负责人:
Suresh Menon
金额:
$61.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-05-15 至 1997-03-31
中文摘要
在美国国家科学基金会的支持下,佐治亚理工学院航空航天工程学院将开发一个高度灵活、易于扩展、低成本的并行处理异构计算机环境(HCEPP),为学院内的大多数计算工程研究提供主要的计算资源。该设施将在拥有62年历史的古根海姆大楼的三层楼内开发,并与该机构资助的整栋大楼的翻新工程一起进行。60多年来,佐治亚理工学院航空航天工程学院在工程研究和研究培训方面一直处于全国领先地位,包括流体动力学、材料、诊断、湍流、燃烧、设计优化、并行工程、多媒体和复杂航空航天系统仿真等方面的活动。几十年来,这项活动一直依赖于位于校园中心设施的强大大型计算机的使用。然而,计算技术已经在越来越小的系统中提供了几何级扩展的计算能力,这些发展已经使大型计算机过时,取而代之的是在紧密集群组中运行的网络化高性能工作站。NSF的支持将翻新古根海姆大楼内的研究空间,为本地计算机和高速网络通信的整合创造一个环境。资金将用于为配备以太网的工作站开发高速FDDI集线器和以太网交换集线器。这笔赠款所支持的翻新工程还将按比例分摊建筑基础设施的改善费用,包括安装新的暖通空调设备,以及安装适当的电气和消防系统。将增加专用的HVAC能力,以满足与HCEPP设施相关的特定需求,这些设施位于分布在整个三层环境中的特定学科的计算实验室中。翻新后的设施将为新的研究工作提供机会,包括设计、模拟和涉及多学科工作的大规模计算的集成,如高速民用运输(HSCT);整个发动机湍流/化学相互作用的建模和模拟;新型航空航天飞行器中机体与发动机的集成与流固耦合以及污染物在大气中扩散的模拟。更多的学生将能够通过对现有空间的重新配置和修复参与研究活动。目前有76人参加了该项目;预计随着新设施的完工,研究和研究培训能力将增加到158名学生(增加107%)。学生们,包括来自克拉克-亚特兰大大学的项目参与者,将与8名教员一起探索并行工程的能力——集成最先进的科学计算工具,与优化工具、几何引擎和分析产品可制造性和可维护性的工具自动交互。
英文摘要
With the support of NSF, the School of Aerospace Engineering at Georgia Tech will develop a highly flexible, readily expandable, and low-cost Heterogeneous Computer Environment for Parallel Processing (HCEPP) to provide the primary computational resources for the majority of computational engineering research within the School. The facility will be developed on three floors of the 62-year old Guggenheim Building and is being undertaken in conjunction with building-wide renovations financed by the institution. For over 60 years, the School of Aerospace Engineering at Georgia Tech has been a national leader in engineering research and research training including activities in fluid dynamics, materials, diagnostics, turbulence, combustion, design optimization, concurrent engineering, and multimedia and complex aerospace system simulation. For several decades, this activity has relied on the use of powerful mainframe computers located in central campus facilities. However, computing technology has provided geometrically expanding computational capabilities in increasingly smaller systems, and these developments have obsoleted the mainframe computer in favor of networked high- performance workstations operating in tightly clustered groups. NSF support will renovate research space within the Guggenheim Building to create an environment for the integration of local computers and high-speed network communications. Funds will be used to develop high-speed FDDI Hubs with Ethernet Switching Hubs for the Ethernet-equipped workstations. Renovations supported under this grant will also provide a pro-rata share of improvements to the building infrastructure including installation of new HVAC capability, and installation of appropriate electrical and fire protection systems. Increased, and dedicated, HVAC capability will be added to meet the specific needs associated with the HCEPP facilities which are in discipline-specific computational labs distributed throughout the three floor environment. The renovated facilities will offer opportunities for new research endeavors including the integration of design, simulation, and large-scale computation involved in multidisciplinary efforts such as the High Speed Civil Transport (HSCT); the modeling and simulation of turbulence/chemistry interactions in entire engines; airframe and engine integration and fluid-structure interactions in new aerospace vehicles; and modeling of pollutant dispersion in the atmosphere. Additional students will be able to participate in the research activities through the reconfiguration and rehabilitation of existing space. Currently 76 are enrolled in the program; it is anticipated that research and research training capacity will increase to 158 students (a 107% increase) with completion of the new facilities. Students, including program participants from Clark-Atlanta University, will work with 8 faculty members to explore capabilities in concurrent engineering -- integrating state-of-the-art scientific computational tools interacting automatically with optimization tools, geometrical engines, and tools for analyzing manufacturability and maintainability of products.
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