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

传统化石燃料的持续减少导致世界各地的能源成本不断增加。与此同时，化石燃料引起的温室气体排放对我们的环境产生了深远的影响。可再生能源是从自然资源中产生的，这些资源是自然补充的。光伏（PV）发电由于其优点而越来越受欢迎，例如没有燃料成本、低维护以及由于没有移动部件而没有噪音和磨损。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架构（例如多核CPU/GPU）开发新的使能技术，从而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，可以最大限度地提高太阳能电池板？的总能量输出，并在多个内核和线程之间智能地分配可用的太阳能，从而实现最大的工作负载性能。拟议的研究项目可以大大有助于使高性能计算系统保持其历史扩展的轨道，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，以及与可再生能源行业和研究界的联系，为社会做出贡献。

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.