MRI: Acquisition of a GPU-based High Performance Computing Instrumentation for Smart City Research at Cleveland State University

该项目将在克利夫兰州立大学(CSU)建立一个基于图形处理器(GPU)的高性能计算仪器(HPCI)，以促进和促进智慧城市的研究。研究目标是将克利夫兰转变为现代智能城市，即使在高峰时间也能缩短通勤时间，犯罪率超低，电网高度坚固和安全，以及成功的职业运动队争夺冠军。所要求的主要研究仪器将使以下五个领域的研究成为可能：1)智能交通；2)智能汽车；3)智能物联网(IoT)；4)智能微电网；5)智能体育。智能交通项目将开发新的深度学习方法，从复杂城市环境下的遥感交通图像中提取有用信息。智能汽车项目将提高5G互联车辆和车辆到一切之间在可靠通信和数据处理方面的最先进水平。智能物联网项目将为无线数据驱动通信和无线智能传感开发新的机器学习方法。智能微电网项目将开发新的混合学习方法，以确保微电网的系统弹性、成本效益、效率和安全性。智能体育项目将开发新的计算机视觉方法来识别和评估细粒度的球员活动，以实现更有效的训练和球员评估。这项研究具有将克利夫兰转变为模范智能城市的潜力，研究成果可能适用于美国其他许多城市地区。所要求的HPCI将大大提高CSU的高性能计算能力，这将积极吸引克利夫兰大都会地区潜在的合作研究，并极大地提高CSU研究培训的质量。申请的人力资源中心将支持CSU几门计算机科学/工程和土木工程课程的本科生/研究生研究、教育和培训。这项研究支持克利夫兰大都市区的K-12教育，也支持西班牙裔少数民族的研究和教育。该项目的网站是https://engineering.csuohio.edu/mri-hpc/，该项目的网站由克利夫兰州立大学沃什克维茨工程学院的计算机系统专家维护。研究成果、用户指南、新闻和项目相关信息将在本网站上提供并在所请求的仪器的预期寿命内更新。该奖项反映了NSF的法定使命，并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will establish a Graphics Processing Unit (GPU)-based High Performance Computing Instrumentation (HPCI) at Cleveland State University (CSU) to facilitate and promote Smart City research. The research goal is to transform Cleveland to a modern smart city with shorter commute time even during rush hours, ultra-low crime rate, a highly robust and secure electric power grid, and successful professional sports teams contending for championships. The requested major research instrumentation will enable research in the following five areas: 1) Smart Traffic; 2) Smart Vehicle; 3) Smart Internet of Things (IoT); 4) Smart Microgrid; and 5) Smart Sports. The Smart Traffic project will develop novel deep learning methods to extract useful information from remote sensing traffic images under complex urban environments. The Smart Vehicle project will improve the state-of-the-art in reliable communications and in data processing among 5G-enabled Connected Vehicles and the Vehicle-to-Everything. The Smart IoT project will develop novel machine learning methods for wireless data-driven communication and wireless intelligent sensing. The Smart Microgrid project will develop novel hybrid learning methods to ensure system resiliency, cost effectiveness, efficiency, and security of microgrid. The Smart Sports project will develop new computer vision methods to recognize and evaluate fine-grained player activities towards more efficient training and player evaluation. The research has the potential to transform Cleveland into an exemplary smart city, and the research outcome could be applicable to many other urban areas in the US. The requested HPCI will make a substantial improvement to the CSU high performance computing capabilities, which will positively attract potential collaborative research in the Cleveland Metropolitan Area and greatly improve the quality of research training at CSU. The requested HPCI will support the undergraduate/graduate student research, education and training in several computer science/engineering and civil engineering courses at CSU. The research supports the K-12 education of Cleveland Metropolitan Area and also supports the Hispanic-minority research and education. The website for the project is at https://engineering.csuohio.edu/mri-hpc/ The project website is maintained by the Computer Systems Specialist of the Washkewicz College of Engineering at Cleveland State University. The research outcome, user guidance, news, and project related information will be provided and updated in this website over the expected lifetime of the requested instrument.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.