CC* Compute: Accelerating Compute Driven Science Through a Sharable High Performance Computing Cluster in Kent State Multi-Campus System

CC* 计算：通过肯特州立多校区系统中的可共享高性能计算集群加速计算驱动的科学

• 批准号: 2201558
• 负责人: Javed Khan
• 金额: $ 40万
• 依托单位: Kent State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2201558&HistoricalAwards=false
• 关键词: CC; Compute; Accelerating; Driven; Science

This project will add an agile locally and globally sharable HPCC (High-Performance Computing Cluster) hosted in a ScienceDMZ enclave, integrated with national science computing facilities, including the Open Science Grid (OSG), by creatively using recent advances in federated science networking and distributed systems’ virtualization open to regional faculty. The system is composed of 18 nodes with dual Intel Xeon Gold 6242R class CPUs (20 core), 192GB RAM, and an NVIDIA A30 class GPUs. Storage is spread across the nodes using CEPHThe project supports several interesting newly emerging collaborative HPCC workflows- scienceware as-a-service (SAS) and science-data-lakes (SDL), and intense real-time-computing (iRTC) besides supporting the HPC and HTC workflows. NSF-funded resources in this project are open to all faculty researchers in northeast Ohio colleges and their collaborators, including the faculty of all eight campuses of Kent who are in the network’s latency proximity and engaged in data-intensive collaborative workflows. In order to support high throughput and collaborative computing, the ScienceDMZ exercises a new model of unimpeded host-centric cauterized and federated security, as opposed to the traditional perimeter focused security approach. It is already fronted by a 100-Gbps Data Transfer Node (DTN) capable of ‘friction-free’ long-haul transferring massive datasets. The project directly contributes to NSF’s goals to foster innovation, integration, and engineering of new campus-level networking and cyberinfrastructure that can assertively support widely collaborative, multi-campus distributed massive-data driven research and harness largely untapped potential to share unused compute cycles and resources across the entire academic fabric, while leveraging a compelling set of science projects from a wide variety of disciplines.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.

该项目将增加一个敏捷的本地和全球共享的HPCC（高性能计算集群），托管在ScienceDMZ飞地，与国家科学计算设施集成，包括开放科学网格（OSG），创造性地利用联合科学网络和分布式系统虚拟化的最新进展，向地区教师开放。该系统由18个节点组成，配备双Intel Xeon Gold 6242 R级CPU（20核）、192 GB RAM和NVIDIA A30级GPU。该项目支持几个有趣的新出现的协作HPCC工作流-科学软件即服务（SAS）和科学数据湖（SDL），以及高强度实时计算（iRTC），此外还支持HPC和HTC工作流。NSF资助的资源在这个项目是开放给所有教师研究人员在东北俄亥俄州大学和他们的合作者，包括所有八个校区的肯特谁是在网络的延迟接近和从事数据密集型协作工作流的教师。为了支持高吞吐量和协作计算，ScienceDMZ采用了一种新的以主机为中心的无阻碍烧灼和联合安全模型，而不是传统的以边界为中心的安全方法。它已经配备了一个100 Gbps的数据传输节点（DTN），能够“无摩擦”长距离传输大量数据集。该项目直接有助于NSF的目标，即促进新校园级网络和网络基础设施的创新，集成和工程，这些网络和网络基础设施可以坚定地支持广泛协作，多校园分布式数据驱动的研究，并充分利用未开发的潜力，在整个学术结构中共享未使用的计算周期和资源。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。