Automatic Energy Tuning of Parallel Applications on a Hybrid Supercomputer

能源效率是构建下一代超级计算机的关键挑战。该项目旨在提供一种与Cray系统集成的新能源调整工具，以简化调整混合应用程序和管理有效能源使用的过程。虽然硬件组件在节能方面发挥着主导作用，但异构系统提供了使用加速器以适度的能耗利用极高并发性的机会。因此，并行计算的未来必须考虑获得最佳性能和允许的功率预算之间的权衡。该项目计划设计支持能量分析和调优的并行编程环境。

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.