MRI: Acquisition of Infrastructure to Enhance Research in Computer Science and Engineering in HPC in Puerto Rico

提案编号：CNS 07- 22515 PI（s）：Cruz、Alfredo Farahat、Nader。罗曼·洛佩斯-博尼利亚。Zaharov，Viktor机构：波多黎各理工大学圣胡安，PR 00919- 2017标题：MRI/采集：建议的HPC项目：该项目旨在增强现有的集群，以服务于ECE/CS领域内需要高性能计算（HPC）的各种项目，要求资金用于内存和处理器升级，以用于多学科研究，增强HPC中心，增加学生和教师的访问，并促进研究和教育的整合。仪器使该机构能够协助司法管辖区的科学，技术和经济转型，主要由CISE地区代表性不足的群体居住。该设施支持不同研究领域的研究和教育，如进化算法，神经网络，可视化，人脸识别，智能天线等。遗传算法与并行处理;超大型神经网络; 3D人脸识别;模式可视化和高性能可视化。智能天线的计算建模与仿真。使用不同的信号处理和建模技术预测各种天线的回波损耗;以及。Meta分类器和聚类技术更广泛的影响：基础设施有助于开发一个公认的中心，可以与其他机构和行业合作，为建立更平衡的（民族和种族）技术企业铺平道路。该机构为大量女性和少数民族学生提供服务。在促进研究的同时，该中心有望成为其他少数民族服务机构教育经验的原型。

Proposal #: CNS 07-22515PI(s): Cruz, Alfredo Farahat, Nader.; Lopez-Bonilla, Roman.; Zaharov, ViktorInstitution: Polytechnic University of PR San Juan, PR 00919-2017Title: MRI/Acq.: Infrastructure to Enhance Research in Computer Science and Engineering in HPC Project Proposed:This project, enhancing an existing cluster to serve a diverse set of projects that fall within the domains of ECE/CS and require high performance computing (HPC), requests funds for a memory and processor upgrade to be utilized for multidisciplinary research, enhancing the HPC center, increasing access of students and faculty, and fostering integration of research and education. The instrumentation enables the institution to assist in the scientific, technological and economic transformation of the jurisdiction, mainly populated by an underrepresented group in CISE areas. The facility supports research and education in diverse research areas such as evolutionary algorithms, neural networks, visualization, face recognition, smart antennas, etc. It specifically contributes to the following research projects.. Genetic Algorithms and Parallel Processing; Very Large Neural Networks;. 3D Face Recognition; Pattern Visualization and High Performance Visualization;. Computational Modeling and Simulation of Smart Antennas; Smart Antennas;. Return Loss Prediction of Various Antennas Using Different Signal Processing and Modeling Techniques; and. Meta Classifiers and Clustering TechniquesBroader Impact: The infrastructure contributes to develop a recognized center that can collaborate with other institutions and industries, paving the way to building more balanced (ethnical and racial) technological enterprises. The institution services a large number of female and minority students. While promoting research, the center is expected to act as a prototype of educational experiences for other minority-serving institutions.