CAREER: 3D Stacked Systems for Energy-Efficient Computing: Innovative Strategies in Modeling and Runtime Management

职业生涯：适用于节能计算的3D堆叠系统：建模和运行时管理的创新策略Ayse K.Coskun，波士顿大学摘要能源效率是计算领域的一个中心问题。在大规模计算集群中，运营和冷却成本带来了巨大的可持续性挑战。嵌入式系统运行的工作负载越来越复杂，对性能的要求也越来越高，这使得众所周知的能源管理政策显得力不从心。高功率密度还会导致较高的片上温度和较大的热变化，这两者都会降低系统的可靠性。该项目的研究目标是展示3D堆叠系统，其中多个芯片垂直连接，可以显著提高能源效率。实现这一雄心勃勃的能效目标需要新颖的分析、设计和运行时管理技术。S项目的目标是创造这些催化剂技术，使3D系统成为在嵌入式和大规模计算领域实现低功耗、高吞吐量计算的有效代理。具体的研究方向是：(1)开发一种广泛适用的方法来联合分析3D多核系统的性能、能量和温度特性；(2)设计运行时管理策略，以最大限度地提高热或功率限制下的性能；(3)优化液冷3D系统，在保持可靠和低能耗运行的同时，推动性能极限。该项目在未来十年的一个可实现的目标是大幅降低计算基础设施的总体能源消耗，这转化为货币节约和碳足迹减少。该项目还对系统和软件设计实践产生了直接影响。研究课题与今天的相关性？S快速发展的计算范式，如嵌入式系统、高性能计算和云，使我们能够为K-12和大学生构建广泛的教育和推广计划。

CAREER: 3D Stacked Systems for Energy-Efficient Computing: Innovative Strategies in Modeling and Runtime ManagementAyse K. Coskun, Boston UniversityAbstractEnergy efficiency is a central issue in computing. In large-scale computing clusters, operational and cooling costs impose significant sustainability challenges. Embedded systems run increasingly complex, performance demanding workloads, making the well-known energy management policies inadequate. High power densities also cause high on-chip temperatures and large thermal variations, both of which degrade system reliability. The research goal of this project is to demonstrate that 3D stacked systems, where multiple chips are vertically attached, can provide dramatic increases in energy efficiency. Realizing this ambitious energy efficiency goal requires novel analysis, design, and runtime management techniques. This project?s objective is creating these catalyst techniques to make 3D systems effective agents for attaining low-power, high-throughput computing in both embedded and large-scale computing domains. Specific research directions are: (1) developing a widely applicable methodology for jointly analyzing the performance, energy, and temperature characteristics of 3D multi-core systems; (2) designing runtime management policies to maximize performance under thermal or power constraints; (3) optimizing liquid-cooled 3D systems to push the performance bounds while maintaining reliable and low-energy operation. A realizable target for this project in the next decade is a significant reduction in overall energy consumption for computing infrastructure, which translates into monetary savings and carbon footprint reduction. The project also has immediate impact on the system and software design practice. Relevance of the research topic to today?s fast growing computing paradigms such as embedded systems, high-performance computing, and cloud enables constructing a broad educational and outreach plan for K-12 and college students.