Tuning parallel applications on software-defined supercomputers

调整软件定义超级计算机上的并行应用程序

• 批准号: LP200200805
• 负责人: Prof David Abramson
• 金额: $ 27.8万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200200805
• 关键词: Tuning; parallel; applications; software; defined

Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and techniques. The expected outcomes include novel software, verified by industry partners in real world case studies, ranging from life sciences to hypersonic transport. This should provide significant benefits, including the capacity for Australian industries to access world-class supercomputing technology.

澳大利亚的许多行业和实验室都在使用超级计算机来制造更好的产品并进行关键的预测，而代码的高效运行至关重要。这个项目旨在帮助程序员快速、轻松地识别代码中的性能瓶颈。该项目期望通过开发创新的软件工具和技术来取代当前的方法，这些方法通常是复杂和耗时的。预期的成果包括由行业合作伙伴在现实世界的案例研究中验证的新型软件，范围从生命科学到高超音速运输。这将带来巨大的好处，包括澳大利亚工业获得世界级超级计算技术的能力。