CAREER: Foundations for Heterogeneous Datacenter Design and Deployment

在过去的45年里，计算机科学家和工程师将大量的晶体管转化为计算能力。目前，能源成本危及进一步的能力扩展，尤其是在数据中心。考虑到有限的数据中心电力预算(已经是兆瓦级)，该项目正在开发新的范例来设计和部署异类数据中心架构，以将能效提高一个数量级。异构性专门针对特定应用程序部署硬件，并针对不同的应用程序需求部署混合硬件。专门化提高了效率，因为支持通用、任意计算的开销减少了。为了实现异构化的高效，本项目正在重新思考设计和部署。重新思考设计以降低专业化成本，该项目正在对硬件设计进行参数化以便于其重用，应用统计推理来探索设计空间，并对具有相似硬件需求的应用程序进行集群以增加每个设计的市场容量？S。重新考虑部署以降低性能风险，该项目正在开发透明地管理和分配异类资源以满足性能目标的多代理系统。该项目有可能对支撑云计算的数据中心的组成和管理产生影响。随着云计算的普及，不同的用户将寻求计算。这个项目正在设计节能的基础设施来提供这种计算。异类体系结构的设计和部署需要计算机系统的整体视图。该项目将研究与课程开发相结合，拓宽了学生的视野。处理器、内存、网络和存储的视图。该项目正在吸引所有教育水平和各种背景的学生，为未来几代人的计算机工程和研究做好准备。

Over the past 45 years, computer scientists and engineers have transformed plentiful transistors into computational capability. At present, energy costs jeopardize further capability scaling, especially in datacenters. Given constrained datacenter power budgets, which are already at megawatt scales, this project is developing new paradigms to design and deploy heterogeneous datacenter architectures to improve energy efficiency by an order of magnitude. Heterogeneity specializes hardware for particular applications and deploys a mix of hardware for a mix of application needs. Specialization improves efficiency as overheads from supporting general, arbitrary computation are reduced. To realize heterogeneous efficiency, this project is rethinking design and deployment. Rethinking design to reduce specialization costs, this project is parameterizing hardware designs to facilitate their re-use, applying statistical inference to explore design spaces, and clustering applications that have similar hardware needs to increase each design?s market volume. Rethinking deployment to reduce performance risk, this project is developing multi-agent systems that transparently manage and allocate heterogeneous resources to meet performance targets. This project has the potential to impact the composition and management of datacenters that underpin cloud computing. As access to cloud computing is democratized, diverse users will seek computation. And this project is architecting energy-efficient infrastructure to provide that computation. The design and deployment of heterogeneous architectures requires a holistic view of computer systems. The project is integrating research with curricular development, broadening students? views of processor, memory, network, and storage. The project is engaging all students at all levels of education and from all backgrounds, preparing future generations for computer engineering and research.