MRI: Acquisition of Computing Equipment to Enhance Computational Science Research at Kean University

智力优势通过这项MRI提案，新泽西科学、技术和数学教育中心（CSTME）正在要求仪器设备在基恩大学建立一个多万亿次浮点运算的集群计算机，基恩万亿次集群（KTC），以支持教师和学生的研究。教师使用集群研究各种主题，这个资源将直接支持气象学，生物信息学，天体物理学和非线性光学领域的研究。除了支持教师的研究和指导兴趣，收购集群将使CSTME能够扩展其在计算数学和科学方面的计划和研究，以支持其新成立的计算数学学位课程。更广泛的影响计算科学提供了一个强大的手段，用于分析来自许多学科的基础和应用研究中的各种挑战性问题，而且，无论是在个人方面还是在基础设施方面，全国都缺乏可用的资源。科学技术培训和教育委员会通过参加国家计算科学研究所和科学技术学院会议教育方案，开展外联和培训工作，以纠正这种情况。所要求的仪器将显着提高基恩大学的计算能力，不仅比基恩大学目前的集群能力提高十倍，而且比校园内的任何资源都具有更低的延迟和更大的带宽。允许具有比当前园区资源可能的更大的通信要求的更大的并行应用。该资源不仅允许教师进行研究，而且还将支持基恩大学学生和教师的培训计划的实施，以及整个新泽西的推广计划。由于少数民族占本科生人口的52%以上，67%是家庭中第一个上大学的人，因此支持这一提案将成为招募和培训代表性不足的群体进入计算科学的强大刺激因素。此外，随着新泽西科学、技术和数学教育中心新设施的建立，基恩将拥有科学可视化、协作和会议设施，以进一步扩大该项目的影响，使我们不仅能够满足我们教师的研究需求，而且能够成为高性能计算的本地资源，并为我们使用新的国家Petascale设施提供途径。研究人员和北方新泽西地区。

Intellectual MeritThrough this MRI proposal, the New Jersey Center for Science, Technology, andMathematics Education (CSTME) is requesting instrumentation to establish a multi-TeraFlop cluster computer, the Kean Terascale Cluster (KTC) at Kean University to support faculty and student research. Faculty using the cluster study a variety of topics,and this resource would directly support research in the areas of Meteorology,Bioinformatics, Astrophysics, and Nonlinear Optics. In addition to supporting the research and mentoring interests of faculty,acquisition of the cluster would allow the CSTME to expand its programs and research in computational mathematics and science to support its newly founded Computational Mathematics degree program.Broader ImpactComputational science provides a powerful means for analyzing a variety of challenging problems in both basic and applied research from many disciplines, and there exists a national shortage in the resources available, both in individuals and infrastructure. The CSTME is engaged in outreach and training efforts to remedy the situation through participation in the National Computational Science Institute and the SCXY Conference Education Program. The requested instrument will significantly increase the computing capability available at Kean University, providing not only a tenfold increase in powerover Kean's current cluster capabilities, but also with lower latency and greater bandwidth than any resource available on campus?allowing for larger parallel applications with greater communication requirements than possible with current campus resources. This resource will not only allow faculty to perform research, but will also support implementation of training programs for Kean University students and faculty, and for outreach programs throughout New Jersey. As minorities comprise over 52% of the undergraduate student population and 67% are the first in their families to go to college, support of this proposal will serve as a powerful stimulus for the recruitment andtraining of underrepresented groups into computational sciences. Additionally, with the creation of the new facilities for the New Jersey Center for Science, Technology, and Mathematics Education, Kean will have the scientific visualization, collaboration, and meeting facilities to further the impact of this project, allowing us to not only meet the research needs of our faculty but to be a local resource in high performance computing and a pathway toward use of new national Petascale facilities for our researchers and for the northern New Jersey area.