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

该奖项由2009年《美国复苏与再投资法案》(Public Law 111-5)资助。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不同研究团队，以开发和利用网格计算作为计算研究的不可或缺的工具。该项目通过收购新的并行计算集群、存储和网络基础设施升级来扩展正在开发的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。计算科学项目是数学、统计和计算机科学系的一部分，将作为研究计算的网络基础设施技术正式培训的中心地点。除了正式的培训外，还举办了一个开放访问研讨会，并定期提供MUGrid？新兵训练营？将为整个校园的学生和教职员工提供培训，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、对学生职业发展的纵向跟踪和用户调查来评估，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向更广泛的社区提供。该资源将是威斯康星州东南高性能(SeWHiP，http://www.sewhip.org)计算联盟)正在开发的区域网格的一部分，该网格将直接支持威斯康星州东南部医疗保健、能源和水研究的学术/行业合作伙伴关系，威斯康星州是该州最多元化的地区。针对K-12教师和学生的暑期计划将提供培训并访问MUGrid和SeWHiP资源。在MUGrid上开发的项目将通过与探索世界等当地博物馆的合作伙伴关系来促进科学和工程。资源还将提供给开放科学网格和TeraGrid。资源使用情况跟踪、对K-12学生职业道路影响的纵向研究、参展情况和调查将被用来评估这些外展计划的影响。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.