CC* Compute: RAPTOR - Reconfigurable Advanced Platform for Transdisciplinary Open Research

CC* 计算：RAPTOR - 用于跨学科开放研究的可重构高级平台

• 批准号: 2126253
• 负责人: Jason Liu
• 金额: $ 40万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126253&HistoricalAwards=false
• 关键词: CC; Compute; RAPTOR; Reconfigurable; Advanced

Building resilient, sustainable, livable, and environmentally safe dynamic systems (natural or human built) requires on-demand computing resources, facilitating machine learning, data processing, and data analytics. These systems rely on computation to support simulation, modeling, and analyses to enable discovery, facilitate understanding, and make decisions. This project implements RAPTOR (Reconfigurable Advanced Platform for Transdisciplinary Open Research), a reconfigurable compute environment to address dynamic and diverse computing needs of science drivers––coastal resilience, sustainable environmental research, and systems biology.The goal of RAPTOR is to increase research production by enhancing computing capabilities at Florida International University (FIU), both at the campus level and through participation in a resource-sharing federated distributed computing community. For that, RAPTOR integrates with the Chameleon Cloud Infrastructure for on-demand resource allocation and the Open Science Grid (OSG) for opportunistic preemptible resource sharing allocation. The result is a platform capable of connecting with a rapidly deployable sampling system that can assimilate and transmit data in real-time to facilitate actionable intelligence and drive adaptive environmental monitoring decisions, and respond as conditions change. The integration of knowledge, tools, and modes of computation proposed by RAPTOR builds upon the expertise of domain researchers, computer scientists, and IT practitioners towards a “smart cyberinfrastructure” to foster and develop transdisciplinary approaches. RAPTOR not only introduces new computing modalities at FIU to support its researchers, but also benefits a broader federated community of researchers and scholars sharing resources through OSG and Chameleon Cloud.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.

构建弹性，可持续，宜居和环境安全的动态系统（自然或人为构建）需要按需计算资源，促进机器学习，数据处理和数据分析。这些系统依赖于计算来支持模拟、建模和分析，以实现发现、促进理解和做出决策。本项目实施RAPTOR（可重构的跨学科开放研究高级平台），一个可重构的计算环境，以满足科学驱动力的动态和多样化的计算需求-沿海恢复力，可持续环境研究和系统生物学。RAPTOR的目标是通过增强佛罗里达国际大学（FIU）的计算能力来增加研究成果，无论是在校园一级，并通过参与资源共享联合分布式计算社区。为此，RAPTOR与Chameleon云基础设施集成，用于按需资源分配，并与开放科学网格（OSG）集成，用于机会主义的可抢占资源共享分配。其结果是一个能够与快速部署的采样系统连接的平台，该系统可以实时吸收和传输数据，以促进可操作的情报和驱动自适应环境监测决策，并随着条件的变化做出响应。RAPTOR提出的知识，工具和计算模式的集成建立在领域研究人员，计算机科学家和IT从业人员的专业知识基础上，以建立一个“智能网络基础设施”，以促进和发展跨学科的方法。RAPTOR不仅在FIU引入了新的计算模式来支持其研究人员，还通过OSG和变色龙云使更广泛的研究人员和学者共享资源的联合社区受益。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。