CC* Compute: Accelerating Computational Research for Engineering and Science (ACRES) at Clarkson University, A Campus Cluster Proposal

克拉克森大学正在建立一个计算集群（ACRES：加速工程和科学的计算研究），以支持与克拉克森的四个跨学科研究主题相一致的数据和计算密集型项目：数据分析，健康世界解决方案，先进材料开发和下一代医疗保健。ACRES促进了高影响力的合作研究，需要访问高性能计算（HPC）资源，使研究目前不切实际/可行，并通过学分课程，本科生研究和现有的NSF REU网站专注于HPC支持学生学习的机会。作为校园资源，ACRES是提供给任何教师或学生在大学根据实施，以确保公平访问的招生政策。而且，ACRES支持克拉克森对计算研究的日益关注和对计算活跃教师的集群雇用。ACRES计算集群取代了已有五年历史的高性能计算集群，其计算能力为105万核心小时/年。计算能力的研究需求已经增长到确定的850万核心小时/年。ACRES的规模可以满足当前的需求和适度的近期增长，未使用的计算能力通过开放科学网格（OSG）共享，以使更广泛的科学界受益。这项新的计算资源通过1120个内核、高速Infiniband互连、4个NVIDIA Tesla V100 GPU和40 TB暂存存储，提供980万核时/年的计算能力。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响力评审标准进行评估，被认为值得支持。

Clarkson University is building a computational cluster (ACRES: Accelerating Computation Research for Engineering and Science) to support data and computationally intensive projects aligned with Clarkson's four interdisciplinary research themes: Data Analytics, Healthy World Solutions, Advanced Materials Development, and Next Generation Healthcare. ACRES facilitates the conduct of high-impact, collaborative research that requires access to high-performance computing (HPC) resources, enables research currently not practical/feasible, and also supports student-learning opportunities through credit-bearing courses, undergraduate research, and an existing NSF REU site focusing on HPC. As a campus resource, ACRES is made available to any faculty member or student at the University according to queueing policies implemented to ensure fair-access. And, ACRES supports Clarkson's increased focus on computational research and a cluster hire of computationally active faculty. The ACRES compute cluster replaces an existing, five-year-old high-performance compute cluster whose computational capacity provided 1.05M core-h/yr. Research need for computational capacity has grown to an identified total of 8.5M core-h/yr. ACRES is sized to meet current demands and modest near-term growth with unused computational capacity being shared via the Open Science Grid (OSG) to benefit the broader scientific community. This new computational resource provides 9.8M core-h/year through 1120 cores, high-speed Infiniband interconnect, four NVIDIA Tesla V100 GPUs, and 40 TB of scratch storage.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.