DESC: Type I: Dynamic Optimization for Leaps in Sustainability-Centric Computing System Design

DESC：类型 I：以可持续发展为中心的计算系统设计飞跃的动态优化

• 批准号: 2324707
• 负责人: Donald Docimo
• 金额: $ 53.94万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324707&HistoricalAwards=false
• 关键词: DESC; Type; Dynamic; Optimization; Leaps

The manufacturing, operation, and disposal of computing systems are increasingly impacting the environment. Traditionally, computing systems are designed to maximize energy efficiency and job performance, while elements such as greenhouse gas emissions and electronic waste continue to trend upward. These factors are dependent on the underlying dynamics of the computing systems, and time-sensitive reactions have the potential to address these issues. This project tackles the sustainability of computing systems using dynamic system optimization, setting an explicit focus on critical sustainability metrics for designing future computing systems. An emphasis is placed on pushing forward the scientific understanding of sustainable computing systems, and to impact future critical structures such as datacenters. This project serves to support not only the computing field, but also provides advancements in the design and controls fields. The outcomes of the project also support education of scientific communities and the public alike through expansive multimedia resource development and student training.Three aims are defined for this research. The first aim is to improve and reformulate models of sustainable computing systems for integration within optimization, addressed by development of a methodology to convert data-driven surrogate models into dynamic analysis-friendly formats. The second aim is to understand and quantify the impact different representations of sustainability metrics have on optimization problem solution feasibility. This is pursued through categorization of sustainability metrics for automatic generation of solvable optimization problems. The third aim is to develop and evaluate the capabilities of dynamic system optimization for sustainability-centric computing systems, using a novel framework. Validation is performed through a combination of numerical and experimental case studies, ranging from server cooling to datacenter design. The potential contributions of studying computing systems through dynamic system optimization are large, discrete jumps in sustainability metrics, such as reductions in emissions, waste heat, and electronic waste.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

计算系统的制造、操作和处置对环境的影响越来越大。传统上，计算系统的设计旨在最大限度地提高能源效率和工作绩效，而温室气体排放和电子废物等因素继续呈上升趋势。这些因素取决于计算系统的基本动态，并且时间敏感的反应具有解决这些问题的潜力。该项目使用动态系统优化解决计算系统的可持续性问题，明确关注设计未来计算系统的关键可持续性指标。重点是推进对可持续计算系统的科学理解，并影响未来的关键结构，如计算机中心。该项目不仅支持计算领域，还提供了设计和控制领域的进步。该项目的成果还支持科学界和公众的教育，通过广泛的多媒体资源开发和学生培训。第一个目标是改进和重新制定可持续计算系统的模型，用于优化内的集成，通过开发将数据驱动的代理模型转换为动态分析友好格式的方法来解决。第二个目标是了解和量化的影响，不同的可持续性指标表示优化问题解决方案的可行性。这是追求通过分类的可持续性指标自动生成可解决的优化问题。第三个目标是开发和评估可持续发展为中心的计算系统的动态系统优化的能力，使用一种新的框架。验证是通过数值和实验案例研究的组合进行的，从服务器冷却到数据中心设计。通过动态系统优化研究计算系统的潜在贡献是在可持续性指标上的大的、离散的跳跃，例如减少排放、废热和电子废物。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。