MRI: Acquisition of a Parallel Computing Cluster and Storage for the Marquette University Grid (MUGrid)

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。马奎特大学计算网格（MUGrid）汇集了来自数学，统计学，计算机科学，化学，电气和计算机工程，机械工程和生物医学工程的研究人员组成的多元化团队，开发和利用网格计算作为计算研究的一个不可或缺的工具。该项目通过收购一个新的并行计算集群、存储和网络基础设施升级来扩展发展中的MUGrid，这也将为马奎特大学新的计算科学研究生课程提供网络基础设施。计算科学计划是数学，统计和计算机科学系的一部分，将作为研究计算网络基础设施技术正式培训的中心位置。除了正式的培训，一个开放式的研讨会，并定期提供MUGrid？靴子训练营？将为整个校园的学生和教师提供培训，包括来自STEM学科传统上代表性不足的群体的个人。MUGrid的成功将通过使用报告、学生职业进展的纵向跟踪和用户调查进行评估，这些调查旨在监测工作准备情况和对培训多样化劳动力的影响。新的并行计算集群和存储基础设施也将通过外联活动提供给更广泛的社区。 该资源将成为东南威斯康星州高性能（SeWHiP，http://www.sewhip.org）计算联盟开发的区域电网的一部分，该电网将直接支持威斯康星州东南部医疗保健、能源和水资源研究的学术/行业合作伙伴关系，该州最多样化的地区。 K-12教师和学生的暑期课程将提供培训和访问MUGrid和SeWHiP资源。在MUGrid上开发的项目将通过与Discovery World等当地博物馆的合作，用于促进科学和工程。 资源也将提供给开放科学网格和TeraGrid。资源使用跟踪，对K-12学生职业道路的影响的纵向研究，展览出席率和调查将用于评估这些推广计划的影响。最后，作为该项目一部分开发的培训资源和软件将通过SeWHiP网站广泛提供。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The Marquette University computational grid (MUGrid) brings together a diverse team of investigators from mathematics, statistics, computer science, chemistry, electrical and computer engineering, mechanical engineering, and biomedical engineering to develop and utilize grid computing as an integral tool for computational research. This project expands the developing MUGrid with the acquisition of a new parallel computing cluster, storage and network infrastructure upgrades which will also provide the cyberinfrastructure for Marquette University's new graduate programs in Computational Sciences. The Computational Sciences program, part of the Department of Mathematics, Statistics and Computer Science, will serve as the central location for formal training on cyberinfrastructure technologies for research computing. In addition to formal training, an open-access seminar and regularly offered MUGrid ?boot camps? will provide training for students and faculty across campus, including individuals from traditionally under-represented groups in STEM disciplines. MUGrid's success will be evaluated through usage reports, longitudinal tracking of student career progress, and user surveys, which are aimed at monitoring job preparedness and impact on training a diverse workforce. The new parallel computing cluster and storage infrastructure will also be made available to the broader community through outreach activities. The resource will be part of Southeast Wisconsin High Performance (SeWHiP, http://www.sewhip.org) computing consortium's developing regional grid that will directly support academic/industry partnerships for healthcare, energy and water research in Southeast Wisconsin, the most diverse region of the state. Summer programs for K-12 teachers and students will provide training and access to MUGrid and SeWHiP resources. Projects developed on MUGrid will be used to promote science and engineering through partnerships with local museums such as Discovery World. Resources will be also made available to the Open Science Grid and TeraGrid. Resource usage tracking, longitudinal studies of impacts on K-12 student career paths, exhibit attendance, and surveys will be used to assess the impact of these outreach programs. Finally, training resources and software developed as a part of this project will be made widely available through the SeWHiP web site.