CAREER: Scalable and Universal Architecture for Next-Generation Memory Systems

这个CAREER项目将研究未来的存储系统，这些系统可以根据处理器技术和应用需求进行扩展。它将存储器体系结构确定为开发下一代存储器系统的关键问题，这些系统在性能、能效和成本方面具有可伸缩性，并支持异构存储器设备。提出了一种可扩展的通用存储器体系结构（SUMA），以取代当前计算机系统中过于限制和同构的存储器体系结构。该项目将进一步研究一系列提高内存可扩展性的创新技术，包括自适应内存组织、异构内存管理、主动内存电源和热管理，以及灵活的内存错误保护方案。有了可扩展的通用架构，计算机内存可以经济高效地从现在的千兆字节扩展到未来的数百太字节。许多有内存限制的计算问题将在更大的规模上得到解决，许多以前难以解决的问题将变得可以解决。拟议的教育部分将使本科生了解多核时代复杂的性能、功率和热问题，重点是存储系统。

This CAREER project will investigate future memory systems that are scalable with processor technologies and application demands. It identifies memory architecture as a key issue in developing next-generation memory systems that are scalable in terms of performance, power-efficiency and cost, and support heterogeneous memory devices. A Scalable and Universal Memory Architecture (SUMA) is proposed to replace the overly restrictive and homogeneous memory architecture in current computer systems. The project will further investigate a set of innovative techniques to improve memory scalability, including adaptive memory organization, heterogeneous memory management, proactive memory power and thermal management, and flexible memory error protection schemes. With a scalable and universal architecture, computer memory may scale cost-effectively and power-efficiently from gigabytes now to hundreds of terabytes in the future. Many memory-bounded computing problems will be solved at a much larger scale, and many previously intractable problems will become solvable. The proposed education component will expose undergraduate students to the complex performance, power, and thermal issues in the multi-core era, with a focus on memory systems.