CRII: OAC: Towards Efficient Memory Management on Terabyte-Scale CXL-Enabled Tiered Memory Systems

CRII：OAC：在支持 CXL 的 TB 级分层内存系统上实现高效内存管理

• 批准号: 2348350
• 负责人: Jie Ren
• 金额: $ 16.7万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348350&HistoricalAwards=false
• 关键词: CRII; OAC; Towards; Efficient; Memory

As modern computing environments evolve, the advent of Compute Express Link (CXL) and multitiered memory systems introduces significant advancements and complexities in memory management. Traditional memory management methods, primarily designed for uniform memory systems, fall short in these advanced, multi-tiered environments. This project proposes an Operating System (OS) level solution for memory management in CXL-enabled systems to maximize performance for various applications without requiring application modifications. This research aligns with national interests by enhancing technological capabilities, contributing to scientific progress, and potentially impacting national health and prosperity through improved computational infrastructure.This initiative delves into developing a robust memory management framework for terabyte-scale, CXL-enabled tiered memory systems. The research tackles these challenges through two main approaches: (1) An advanced page allocation mechanism that optimizes data distribution across different memory types, considering bandwidth and latency, functioning effectively without prior knowledge of application behavior. (2) A heuristic method for managing all memory pages, guided by accurate, low-overhead memory region-based profiling across the entire memory hierarchy. The proposed solution is noteworthy for its ability to address both latency and bandwidth considerations in multi-tiered memory systems, surpassing the capabilities of current approaches. The intellectual merit of this research lies in its potential to significantly enhance OS memory management and the understanding of heterogeneous memory systems. By addressing the complexities of managing diverse memory types on a large scale, the project is expected to dramatically improve the scalability and efficiency of computational infrastructures, enabling more complex data processing tasks. The broader impacts encompass facilitating the wider adoption of tiered memory systems, enhancing the scalability of computational infrastructures, and potentially influencing future operating system designs for managing heterogeneous memory systems at scale.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.

随着现代计算环境的发展，Compute Express Link (CXL) 和多层内存系统的出现给内存管理带来了显着的进步和复杂性。主要为统一内存系统设计的传统内存管理方法在这些先进的多层环境中存在不足。该项目提出了一种操作系统 (OS) 级解决方案，用于支持 CXL 的系统中的内存管理，以最大限度地提高各种应用程序的性能，而无需修改应用程序。这项研究通过增强技术能力、促进科学进步以及通过改进计算基础设施可能影响国民健康和繁荣来符合国家利益。该计划致力于为 TB 级、支持 CXL 的分层内存系统开发强大的内存管理框架。 该研究通过两种主要方法应对这些挑战：（1）先进的页面分配机制，优化不同内存类型之间的数据分布，考虑带宽和延迟，无需事先了解应用程序行为即可有效运行。 (2) 管理所有内存页面的启发式方法，以跨整个内存层次结构的准确、低开销的基于内存区域的分析为指导。所提出的解决方案值得注意的是，它能够解决多层内存系统中的延迟和带宽问题，超越了当前方法的能力。这项研究的智力价值在于其显着增强操作系统内存管理和对异构内存系统的理解的潜力。通过解决大规模管理不同内存类型的复杂性，该项目预计将显着提高计算基础设施的可扩展性和效率，从而实现更复杂的数据处理任务。更广泛的影响包括促进分层内存系统的更广泛采用，增强计算基础设施的可扩展性，并可能影响未来大规模管理异构内存系统的操作系统设计。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。