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MRI-R2: Acquisition of Shared Cluster and Database Computing Facilities at Wesleyan University

MRI-R2: Acquisition of Shared Cluster and Database Computing Facilities at Wesleyan University
MRI-R2:收购卫斯理大学的共享集群和数据库计算设施
批准号:
0959856
负责人:
Francis Starr
金额:
$29.87万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-05-01 至 2013-09-30

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英文摘要
"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Proposal #: 09-59856PI(s): Starr, Francis W.; Beveridge, David, L.; Weir, Michael, P.Institution: Wesleyan University Title: MRI-R2/Acq: Shared Cluster and Database Computing Facilities at Wesleyan UniversityProject Proposed:This project, acquiring a shared, state-of-the-art, mid-sized super-computing cluster and database server, supports intensive research computing and corresponding initiatives at the institution. The current central facilities are no longer able to meet the intensive research computing and corresponding initiatives in education, as evidenced by a five-fold increase in the number of pending jobs over a period of two years. The requested cluster roughly doubles the size of the central super-computing facility, as well as adds new support for informatics-based research that relies heavily on relational database mining.Research programs in astrophysics, biomaterials, liquid state chemical physics, nanotechnology, quantum chemistry, molecular biophysics, neuroinformatics, and structural bioinformatics, all require high-end computing resources and have become increasingly dependent on high-performance computing facilities. All these areas offer courses that involve hands-on computation. Currently, a large number of faculty, staff and students are active research users, and roughly 2/3 of those are students; additionally, 40-50 students per year make use of facilities for course related computational activities.Based on consultations with the current primary users of the system and the systems administrator, the new proposed cluster consists of 40-50 CPU nodes, each with two Intel Xeon quad core processors, and containing 8-16 GB of storage. An infiniband interconnect will connect the processors to facilitate parallel applications. Data storage is provided for the user calculations via a RAID array of 30-40 TB. The dedicated database server has dual 4 or 6-core processors, a large memory footprint, and high performance local disks to store the database.The system is housed in the renovated facility on the Information Technology Services (ITS) floor of the Wesleyan Science Tower, maintained by a designated ITS systems manager and made available for research and instructional needs over the current WESNET network. A faculty Computer Advisory Committee provides academic oversight, manages allocation requests, and coordinates with ITS. The institution continues to support the administration of the new system.Broader Impacts: The instrument services both the faculty research and student education. It enables new science to be produced in the course of diverse research projects and impacts the ongoing instruction in the University, serving as a learning tool to develop student scientific computing proficiency both through existing courses and participating in faculty-led research. To further extend the educational and training goals, a new Scientific Computing and Informatics Center (SCIC) was developed with funding support from the University, aimed at facilitating the effective use of the new high-performance computing facility by all faculty and students, and supporting the educational initiatives of courses utilizing computational resources. The SCIC also operates a summer program supporting undergraduate research and developing teaching modules (in collaboration with relevant faculty) that directly impacts many courses across the curriculum. The cluster and database facility also serve as a focal point and resource for undergraduate students in computationally intensive courses of study, including a recently approved interdisciplinary 'Certificate Program in Informatics and Modeling'. This interdisciplinary program functions effectively as a minor field of study alongside major fields. The program has two elements, a computational and an informatics foci.
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MRI: Acquisition of Cluster Computing Facilities for Research and Education at Wesleyan University
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