II-EN: CUNY Computing Research Infrastructure

纽约城市大学斯塔滕岛学院(CUNY)计划在其现有的一套机器上增加一个新的Cray系统，代号为Cray-Baker，以利用分区全球地址空间(PGAS)编程语言提供的优势，如共阵列Fortran和统一并行C语言。这个项目的意义在于，它允许CUNY和合作的研究人员通过获得第一个这样的系统来启动基于PGAS的应用程序开发的学术研究，纽约城市大学(CUNY)的研究人员使用高性能计算(HPC)来模拟心脏中的机电耦合，以了解获得性疾病(如心肌梗死和遗传病)如何导致异常心律。纽约州立大学的调查人员还使用HPC来模拟城市结构抵御爆炸装置爆炸影响的能力。新的高性能计算系统以其先进的编程模型和对低延迟全球通信的支持加速了这些研究活动。支持与著名的国内和国际研究人员的合作。

The College of Staten Island of the City University of New York (CUNY) plans to add a new Cray system, code-named Cray-Baker, to its existing set of machines to exploit the advantages provided by Partitioned Global Address Space (PGAS) programming languages, such as Co- Array Fortran and Unified Parallel C. The significance of this project is that it allows CUNY and collaborating researchers to jump-start academic research in the development of PGAS-based applications by acquiring the first such system, outside of the National Security Agency and Department of Energy.City University of New York (CUNY) investigators use high performance computing (HPC) to simulate electro-mechanical coupling in the heart to understand how acquired disorders, such as myocardial infarction, and genetic diseases, result in abnormal heart rhythms. CUNY investigators also use HPC to model the ability of urban structures to withstand the effects of blast from explosive devices. The new HPC system with its advanced programming models and support for low-latency global communications accelerate these research activities. Collaborations with noted national and international researchers are supported.