CC* Compute: Building a state-of-the-art campus compute resource at Franklin & Marshall College

富兰克林马歇尔学院（F M）正在构建和部署校园群集资源，以更好地满足我们的研究人员及其学生的需求，他们需要更多地访问高性能计算资源，以支持密集的数据分析和计算。该项目为F M的研究人员和学生提供了急需的本地计算节点，同时也为全国共享计算集群的不断增长做出了贡献。该项目将这些新资源贡献给开放科学网格（OSG），这是一个国家级的分布式计算合作伙伴关系，允许参与者与其他研究人员共享他们的资源，以最大限度地发挥这些投资对科学研究和发现的影响。 作为一个机构，F M拥有许多顶级的科学研究人员，他们也与学生合作进行由公共和私人机构定期资助的研究。 提供大幅改善的基础设施来支持这项研究将促进和扩大该机构支持重要研究的能力，从寻找大脑到脑科学。F M已经证明了招募和支持STEM学生的承诺，这种基础设施的改善和投资使该机构能够继续成为这个竞技场的领导者，为未来的科学家提供最好的资源和机会。 这个项目，类似于其他最近的举措，展示了如何设计和实施重要的研究基础设施，即使在一个较小的机构，推进科学发现在我们的校园内外。计算集群最大限度地利用可用资源的研究，需要HPC和HTC解决方案。它由一个头节点和一个登录节点组成，两者都运行双20核Xeon Gold 6230 2.10GHz CPU，192GB的2666 MHz ECC内存和38TB的SSD NVMe存储。有36个标准计算节点，每个节点使用双20核Xeon Gold 6230 2.10 GHz CPU，192 GB的2666 MHz ECC内存和1.8 TB NVMe SSD用于操作系统和本地擦除。有一个GPU节点与利用cuda编译软件和GPU协处理的软件一起使用。它反映了与标准计算节点相同的规格，但包括四个Nvidia V100 GPU卡，配备32 GB HBM2内存和5120个流处理器。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Franklin & Marshall College (F&M) is building and deploying a campus cluster resource to better meet the needs of our researchers and their students who need greater access to high performance compute resources to support intensive data analysis and computation. This project provides much needed local compute nodes for F&M's researchers and students while also contributing to the growing fabric of shared computing clusters across the country. This project contributes these new resources to the Open Science Grid (OSG) which is a national, distributed computing partnership that allows participants to share their resources with other researchers to maximize the impact these investments have on scientific research and discovery. As an institution, F&M has many top-tier scientific researchers who also partner with students in research that is regularly funded by public and private agencies. Providing substantially improved infrastructure to support this research will advance and expand the institution's capacity to support important investigations, from the search for pulsars to brain science. F&M has a demonstrated commitment to recruiting and supporting STEM students and this infrastructure improvement and investment allows the institution to continue to be a leader in this arena, providing access to the best resources and opportunities for future scientists. This project, similar to other recent initiatives, demonstrates how it is possible to design and implement significant research infrastructure, even at a smaller institution, that advances scientific discovery both on and beyond our campus.The compute cluster maximizes available resources for research that requires both HPC and HTC solutions. It consists of a head node and a login node, both running dual 20 core Xeon Gold 6230 2.10GHz CPUs with 192GB of 2666 MHz ECC memory, and 38TB of SSD NVMe storage. There are 36 standard compute nodes, each using dual 20 core Xeon Gold 6230 2.10 GHz CPUs with 192GB of 2666 MHz ECC memory and 1.8TB NVMe SSD for OS and local scratch. There is one GPU node for use with software that takes advantage of cuda compiled software and GPU co-processing. It mirrors the same specs as the standard compute node, but includes four Nvidia V100 GPU cards featuring 32 GB HBM2 memory and 5120 stream processors.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.