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

通过这项核磁共振提案，新泽西州科学、技术和数学教育中心（CSTME）正在申请仪器，以建立一个多万亿次浮点运算的集群计算机，即肯恩大学的肯恩太斯卡尔集群（KTC），以支持教师和学生的研究。利用集群研究各种主题的教师，这些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。除了支持研究和指导教师的兴趣外，收购集群将使CSTME能够扩展其在计算数学和科学方面的项目和研究，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为分析来自许多学科的基础研究和应用研究中的各种具有挑战性的问题提供了强大的手段，并且存在可用资源的国家短缺，无论是在个人还是基础设施方面。CSTME正在通过参与国家计算科学研究所和SCXY会议教育计划，进行外联和培训工作，以纠正这种情况。所请求的仪器将显著提高基恩大学可用的计算能力，不仅提供比基恩大学当前集群能力提高十倍的能力，而且具有比校园内任何可用资源更低的延迟和更大的带宽。允许更大的并行应用程序，具有比当前校园资源更大的通信需求。这一资源不仅将允许教师进行研究，还将支持基恩大学学生和教师的培训项目的实施，以及整个新泽西州的推广项目。由于少数族裔占本科学生总数的52%以上，67%是他们家庭中第一个上大学的人，因此支持这一提案将有力地刺激未被充分代表的群体进入计算科学领域的招聘和培训。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，以进一步推动该项目的影响，使我们不仅能够满足我们教师的研究需求，而且成为高性能计算领域的本地资源，并为我们的研究人员和新泽西北部地区提供使用新的国家千兆级设备的途径。

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.