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

这个CAREER项目将研究未来的内存系统，这些系统可以随着处理器技术和应用需求而扩展。它确定存储器体系结构作为开发下一代存储器系统的关键问题，这些存储器系统在性能、功率效率和成本方面是可扩展的，并且支持异构存储器设备。 提出了一种可扩展通用存储器体系结构（SUMA），以取代当前计算机系统中过于严格和同构的存储器体系结构。 该项目将进一步研究一套创新技术，以提高内存的可扩展性，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。 利用可扩展和通用的架构，计算机存储器可以从现在的千兆字节经济高效地和功率高效地扩展到未来的数百TB。许多内存受限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接触到多核时代复杂的性能、功耗和散热问题，重点是内存系统。

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.