MRI: Acquisition of a High Performance Computer to Integrate Data Intensive Research and Education: Bringing HPC to South Jersey

本提案寻求支持收购共享高性能计算（HPC）集群，用于数据和计算密集型应用。基础设施支持三个研究领域的研究：计算生物学和生物信息学；机器学习与数据融合；基础设施的弹性和环境的可持续性。在这些领域中，有多个项目受益于基础设施。这个高性能计算集群是南泽西第一个这样的公共基础设施。结合关注现实问题的教育和研究项目，HPC集群有助于并行处理和高级计算机体系结构相关课程的课堂教学。HPC计算已被纳入生物医学工程、计算机科学、化学与生物化学、数学、生物科学、生物信息学、电子与计算机工程等多门通识课程。HPC促进了所有科学、技术、工程和数学（STEM）领域的本科教育机会的扩大。

This proposal seeks support for the acquisition of a shared high-performance computing (HPC) cluster to be used for data- and computation-intensive applications. The infrastructure supports research in three research areas: computational biology and bioinformatics; machine learning and data fusion; and infrastructure resilience and environmental sustainability. In each of these areas, there are multiple projects that benefit from the infrastructure. This HPC cluster is the first such public infrastructure in South Jersey. Coupled with education and research programs focused on real-world problems, the HPC cluster aids classroom instruction in relevant courses in parallel processing and advanced computer architecture. HPC computation is incorporated into the curriculum of many general courses including the courses in Biomedical engineering, Computer Science, Chemistry and Biochemistry, Mathematics, Biological Sciences, Bioinformatics, and Electrical and Computer Engineering program.The HPC facilitates expanded educational opportunities at the undergraduate level in all Science, Technology, Engineering and Math (STEM) areas.