CSR: Small: Enabling Renewable Energy Powered Sustainable High Performance Computer Architectures and Systems

CSR：小：实现可再生能源驱动的可持续高性能计算机架构和系统

• 批准号: 1117261
• 负责人: Tao Li
• 金额: $ 20万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117261&HistoricalAwards=false
• 关键词: CSR; Small; Enabling; Renewable; Energy

The continuing decline of conventional fossil fuel has resulted in increasing energy costs all around the world. Meanwhile, fossil fuel-induced greenhouse gas emissions have profound implications for our environment. Renewable energy is generated from natural resources that are naturally replenished. Photovoltaic (PV) generation is gaining increased popularity due to its advantages such as absence of fuel cost, low maintenance, and no noise and wear due to the absence of moving parts. Designing renewable energy driven computer systems poses various challenges in terms of intelligent control strategies for better energy utilization, optimizations for reducing overhead and improving reliability. The proposed research will develop novel enabling technologies for high-performance computer architectures (e.g. multi-core CPU/GPU) that can achieve high efficiency and dependability in utilizing renewable energy. The research goal includes GPU power management schemes that can maximize a solar panel?s total energy output using load-matching and intelligently allocate the available solar power across multiple cores and threads so that maximum workload performance can be achieved. The proposed research project can greatly contribute to enabling high-performance computing systems to stay on track with its historic scaling and hence benefit numerous real-life applications. This project also contributes to society through engaging under-represented groups, research infrastructure dissemination for education and training, and outreach to renewable energy industries and research community.

传统化石燃料的持续减少导致了世界各地能源成本的增加。与此同时，化石燃料导致的温室气体排放对我们的环境有着深远的影响。可再生能源是由自然补充的自然资源产生的。光伏发电因其不需要燃料成本、维护费用低、不会因没有运动部件而产生噪音和磨损等优点而越来越受到人们的欢迎。设计可再生能源驱动的计算机系统在智能控制策略方面提出了各种挑战，以更好地利用能源，优化减少开销和提高可靠性。拟议的研究将为高性能计算机体系结构(如多核CPU/GPU)开发新的使能技术，在利用可再生能源方面实现高效率和可靠性。研究目标包括GPU电源管理方案，该方案可以最大化太阳能电池板-S使用负载匹配的总能量输出，并在多核和线程之间智能分配可用太阳能，从而实现最大的工作负载性能。拟议的研究项目可以极大地帮助高性能计算系统保持其历史性的可伸缩性，从而使许多现实生活中的应用程序受益。该项目还通过让代表性不足的群体参与、为教育和培训传播研究基础设施以及向可再生能源行业和研究界宣传等方式为社会作出贡献。