Maximizing Performance under a Power Constraint on Modern Multicore Systems

• 作者: Bryce Westheimer Mark S. Gordon Masha Sosonkina Vaibhav Sundriyal
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: Uncore FREQUENCY SCALING (UFS) Dynamic VOLTAGE and FREQUENCY SCALING (DVFS) Power BUDGET GAMESS
• 年，卷（期）: dnhtxyw_2019,（7）
• 页码范围: 252-266
• 页数: 15页
• 分类号: R73

摘要

Energy efficiency and energy-proportional computing have become a central focus in modern supercomputers. These supercomputers should provide high throughput per unit of power to be sustainable in terms of operating cost and failure rates. In this paper, a power-bounded strategy is proposed that maximizes parallel application performance under a given power constraint. The strategy dynamically allocates power to core, uncore, and memory power domains within a node to maximize performance under a given power budget. Experiments on a 20-core Haswell-EP platform for a real-world parallel application GAMESS demonstrate that the proposed strategy delivers performance within 4% of the best possible performance for as much as 25% reduction in the minimum power budget required for maximum performance.