CRI Infrastructure Acquisition: A Cluster Testbed for Experimental Research in High Performance Computing

德州农工大学的主要研究人员将获得一个72节点的集群计算系统，用于可扩展计算技术和大规模应用的研究和教育。可伸缩技术包括编译器、性能分析、集群互连、操作转换和数值方法的改进。大规模的应用程序包括高效的并行和分布式执行的应用程序，如生物信息学，粒子传输，和亚微米超大规模集成电路模拟。该系统将允许研究人员重新配置系统，以探索网络和操作系统的支持，并允许实验研究，这将不兼容生产计算中使用的共享基础设施。该系统还将用于研究生和本科生教育，包括一个侧重于增加妇女和代表性不足的学生参与的方案。

The principal investigators at Texas A&M will acquire a 72 node cluster computing system for use in research and education in scalable computing techniques and large-scale applications. Scalable techniques include improvements in compilers, performance analysis, cluster interconnects, operational transformations, and numerical methods. Large-scale applications include efficient parallel and distributed execution on applications such as bioinformatics, particle transport, and submicron VLSI simulation. The system will allow researchers to reconfigure the system to explore network and operating system support and permit experimental research that would not be compatible with shared infrastructure used in production computing. The system will also be used in graduate and undergraduate education including a program focused on increasing the participation of women and underrepresented students.