CRII: CSR: Programmable Heterogeneous Memory Systems via Multiple Address Spaces and RAM Lake

CRII：CSR：通过多个地址空间和 RAM Lake 的可编程异构内存系统

• 批准号: 1850566
• 负责人: Jason Lowe-Power
• 金额: $ 17.5万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1850566&HistoricalAwards=false
• 关键词: CRII; CSR; Programmable; Heterogeneous; Memory

Computer systems store an increasingly vast amount of data. The major limiting factor for computer performance is data retrieval from memory, not data processing. At the same time, these systems integrate various physical storage technologies adding complexity to data retrieval. The project will develop new improvements to computing system hardware to increase data retrieval performance in systems with many memory technologies by addressing two initial questions: how to move data between memory technologies efficiently and how to represent different types of data flexibly for both the programmer and the hardware system.This project will produce new hardware mechanisms and software interfaces that will increase the performance and simplify the programming of heterogeneous memory systems. Additionally, the work will expand the understanding of how software will use these nascent heterogeneous memory systems by deeply studying current and emerging systems and applications. This work will be broken into two main thrusts. First, designing novel hardware support for fine-grained user-directed and system-directed data movement, and second, designing hardware support for multiple address spaces to improve the interfaces to heterogeneous memory for programmers and system software.Computing systems ranging from datacenters and supercomputers to mobile devices and Internet-of-Things systems are processing an increasing amount of data, which is driving the trend toward heterogeneous memory systems. The proposed research will increase the performance and usability of these computing systems. This research will be presented to the scientific community and the public through conference publications, software repositories, and blog posts on a public website. Additionally, this project will develop an upper-divisional undergraduate/introductory graduate class on programming heterogeneous systems.All data, software, and other artifacts generated through this research will be carefully managed and archived through third party repositories such as GitHub and cloud service providers. The software artifacts will be maintained indefinitely using publicly accessible history tracking version control systems. Data that can be regenerated by re-running simulation software will be kept for at least five years, as well as the foreseeable future. Links to repositories containing the simulators used, code produced, and data used in the published results can be found at https://arch.cs.ucdavis.edu/projects/heterogeneous-memory.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.

计算机系统存储越来越多的数据。计算机性能的主要限制因素是从内存中检索数据，而不是数据处理。同时，这些系统集成了各种物理存储技术，从而为数据检索增加了复杂性。 The project will develop new improvements to computing system hardware to increase data retrieval performance in systems with many memory technologies by addressing two initial questions: how to move data between memory technologies efficiently and how to represent different types of data flexibly for both the programmer and the hardware system.This project will produce new hardware mechanisms and software interfaces that will increase the performance and simplify the programming of heterogeneous memory systems.此外，这项工作将通过深入研究当前和新兴的系统和应用来扩展对软件如何使用这些新生异质存储系统的理解。这项工作将分为两个主要推力。首先，设计新型的硬件支持，以针对良好的用户定向和系统指导的数据移动，其次，为多个地址空间设计硬件支持，以改善界面，以改善程序员和系统软件的异构内存和系统软件。将数据中心和超级计算机和超级计算机和超级计算机和互联网系统的系统范围内的存储器量增加了趋势，从而使趋势趋于趋势。拟议的研究将提高这些计算系统的性能和可用性。这项研究将通过会议出版物，软件存储库和公共网站上的博客文章向科学界和公众介绍。此外，该项目将开发针对编程异质系统的上级本科/入门研究生课程。该研究生成的所有数据，软件和其他工件将通过Github和云服务提供商等第三方存储库进行仔细管理和存档。该软件工件将使用公开访问的历史记录跟踪版本控制系统无限期地维护。可以通过重新运行的仿真软件再生的数据将至少保存五年，以及可预见的未来。可以在https://arch.cs.ucdavis.edu/projects/projects/heterogeneous-memory.Thisw中找到包含包含所使用的模拟器，代码和数据的存储库的链接。该奖项反映了NSF的法定任务，并通过使用基金会的智力效果进行评估，并被视为值得评估的支持。

项目成果

Enabling Design Space Exploration for RISC-V Secure Compute Environments

实现 RISC-V 安全计算环境的设计空间探索

• 发表时间: 2021
• 期刊: Fifth Workshop on Computer Architecture Research with RISC-V
• 作者: Akram, Ayaz;Akella, Venkatesh;Peisert, Sean;Lowe-Power, Jason
• 通讯作者: Lowe-Power, Jason

A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems

• DOI: 10.1109/ispass51385.2021.00036
• 发表时间: 2021-03
• 期刊: 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
• 作者: Mark Hildebrand;Julian T. Angeles;Jason Lowe-Power;V. Akella

AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming

• DOI: 10.1145/3373376.3378465
• 发表时间: 2020-03
• 期刊: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
• 作者: Mark Hildebrand;J. Khan;Sanjeev N. Trika;Jason Lowe-Power;V. Akella

Performance Analysis of Scientific Computing Workloads on General Purpose TEEs

• DOI: 10.1109/ipdps49936.2021.00115
• 发表时间: 2021-05
• 期刊: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
• 作者: Ayaz Akram;Anna Giannakou;V. Akella;Jason Lowe-Power;S. Peisert