Automatic Energy Tuning of Parallel Applications on a Hybrid Supercomputer

混合超级计算机上并行应用的自动能量调整

• 批准号: LP150100837
• 负责人: Prof David Abramson
• 金额: $ 29.92万
• 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: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-06-21 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150100837
• 关键词: Automatic; Energy; Tuning; Parallel; Applications

Energy efficiency is a critical challenge in building next-generation supercomputers. This project aims to provide a new energy-tuning tool integrated with Cray’s systems, to simplify the process of tuning hybrid applications and managing efficient energy use. Although hardware components play a dominant role in saving energy, heterogeneous systems offer the opportunity to exploit the extremely high concurrency with modest energy consumption using accelerators. Accordingly, the future of parallel computing must consider the trade-off between obtaining the optimal performance and the allowed power budget. The project plans to design parallel programming environments that support energy analysis and tuning.

能源效率是建造下一代超级计算机的关键挑战。该项目旨在提供一种与Cray系统集成的新型能源调节工具，以简化调节混合应用程序和管理高效能源使用的过程。尽管硬件组件在节约能源方面起着主导作用，但异构系统提供了利用加速器以适度的能耗开发极高并发性的机会。因此，未来的并行计算必须考虑在获得最佳性能和允许的功耗预算之间进行权衡。该项目计划设计支持能量分析和调优的并行编程环境。