A high-performance cloud resource for computational modelling

用于计算建模的高性能云资源

• 批准号: LE170100200
• 负责人: Prof Justin Zobel
• 金额: $ 42.34万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Infrastructure, Equipment and Facilities
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-05-12 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LE170100200
• 关键词: performance; cloud; resource; computational; modelling

This project aims to build a relatively low-cost graphical-processing-unit-based cloud-accessible facility. Much current cutting-edge research is based on intensive computational models and simulations, which are used to deepen our understanding and predict real-world phenomena. This facility will provide a specialised computational platform for high-fidelity predictive models and simulations. It will underpin research in critical fields of science and engineering and be used by researchers from across Australia. This facility's computational capabilities are expected to complement other national computing resources, keep Australia globally competitive, and enhance research in fields including engineering, biology and materials science.

该项目旨在建立一个相对低成本的基于图形处理单元的云访问设施。当前的许多前沿研究都是基于密集的计算模型和模拟，这些模型和模拟用于加深我们对现实世界现象的理解和预测。该设施将为高保真预测模型和模拟提供专门的计算平台。它将支持科学和工程关键领域的研究，并供澳大利亚各地的研究人员使用。该设施的计算能力有望补充其他国家计算资源，保持澳大利亚的全球竞争力，并加强在工程、生物和材料科学等领域的研究。