CRI: A Linux Cluster for Space-Time Parallel Algorithms in Computational Nanotechnology and Education in Parallel Computing

摘要项目：NSF 04-588 CISE计算研究基础设施标题：CRI：用于计算纳米技术和并行计算教育的时空并行算法的Linux集群建议：CNS 0551472PI: Chandra， NamasInstitution：佛罗里达农工大学（FAMU）和佛罗里达州立大学联合工程学院的研究人员和教育工作者将获得一个Linux计算机集群，用于开发用于碳纳米管分子动力学（MD）模拟的空间和时间并行算法，以及并行计算领域的教育和培训。该项目将加强在计算纳米技术应用的空间和时间领域的并行算法开发领域的研究。此外，这个组群将使FAMU的计算机和信息系统系能够训练并行计算领域的本科生和研究生。该集群将用于以下合作研究项目：1)纳米技术探索性研究（NER）：用于长时间行为的大规模并行纳米材料模拟的可扩展技术和算法2)开发细粒度空间并行算法来模拟碳纳米管基复合材料的机械行为3)开发用于传感器应用的交互式MD可视化工具。在教育方面，FAMU是一所HBCU，目前拥有软件工程科学（MSES）硕士学位，正在寻求博士学位课程。该集群将促进FAMU学生和教师的高级培训和研究，从而使FAMU计算机和信息系统部门能够开发博士课程。该集群将使并行计算领域的建议的教育和培训部分成为可能，特别以CIS/FAMU的学生为重点。

AbstractProgram: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: A Linux Cluster for Space-Time Parallel Algorithms in Computational Nanotechnology and Education in Parallel Computing Proposal: CNS 0551472PI: Chandra, NamasInstitution: Florida Agricultural and Mechanical University Researchers and educators at Florida A&M University (FAMU) and Florida State University in the joint college of Engineering will acquire a Linux Computer Cluster for developing space and time parallelization algorithms for molecular dynamics (MD) simulations of carbon nanotubes, and for education and training in the area of parallel computing. The project will enhance research in the area of parallel algorithm development both in space and time domains for computational nanotechnology applications. In addition, the cluster will enable the Department of Computer and Information Systems (CIS) at FAMU to train undergraduate and graduate students in the area of parallel computing. The cluster will be used in the following collaborative research projects: 1) Nanotechnology Exploratory Research (NER): Scalable Techniques and Algorithms for Massively Parallel Nanomaterial Simulation for Long Time Behavior 2) Developing fine grained spatial parallel algorithms to simulate the mechanical Behavior of Carbon Nanotube based Composites and, 3) Developing interactive MD visualization tools for Sensor applications. In education, FAMU, an HBCU, currently has a Masters in Software Engineering Sciences (MSES) and is seeking a doctoral degree program. This cluster will facilitate advanced training and research for both students and faculty at FAMU and thus position the computer and information systems department at FAMU to develop a PhD program. The cluster will enable the education and training components of the proposal in the area of parallel computing, specifically focusing on students from CIS/FAMU.