CNS Core: Small: Rethinking High-Performance Persistent Transactions

CNS 核心：小型：重新思考高性能持久事务

• 批准号: 2106117
• 负责人: Michael Bond
• 金额: $ 50万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106117&HistoricalAwards=false
• 关键词: CNS; Core; Small; Rethinking; Performance

Persistent memory is an exciting new technology that bridges the gap between two well-established technologies: main memory, which is fast to access but loses its contents in the event of power loss or hardware failure, and the disk, which is slow to access but retains its contents if the power goes off or the hardware fails. To help programmers write correct programs using persistent memory, programming languages provide a construct called persistent transactions, which help ensure that persistent memory can recover to an understandable state after a power or hardware failure. However, existing algorithms for persistent transactions slow programs significantly because they rely on techniques called crash-consistency mechanisms that are inefficient. The project develops two novel crash-consistency mechanisms that overcome the limitations of prior crash-consistency mechanisms. The project applies these new mechanisms to develop new persistent transaction algorithms. The project evaluates these algorithms empirically in comparison to prior persistent transaction algorithms, on real-world persistent memory programs and platforms. A key insight of the new crash-consistency mechanisms lies in the novel way they leverage technology called hardware transactional memory that is included in Intel processors. The work aims to contribute efficient crash-consistency mechanisms and persistent transaction algorithms that are more efficient than prior approaches and to influence future research in this rapidly developing area.The project aims to improve the performance of a key construct for achieving reliable persistent memory programs. This improvement can help make persistent memory widely practical, by achieving both main memory's performance and the disk's retention of contents in the event of failure. Practical persistent memory will improve programmer productivity and make computing systems faster and more reliable. These benefits in turn will impact society across domains that rely on computing, including science, engineering, transportation, and medicine. To increase impact, the implementations resulting from the project will be made publicly available in addition to published research papers. Undergraduate and graduate courses taught by the PI will incorporate the project's research topics. Workshops organized by the PI will expose undergraduate students, especially students who are members of underrepresented groups, to computing research and grad school. These activities will help to educate a diverse workforce of computer scientists trained in the project's topics and research.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.

持久内存是一项令人兴奋的新技术，它弥补了两种成熟技术之间的差距：主内存访问速度快，但在断电或硬件故障时丢失其内容；磁盘访问速度慢，但在断电或硬件故障时保留其内容。为了帮助程序员使用持久内存编写正确的程序，编程语言提供了一种称为持久事务的结构，它有助于确保在电源或硬件故障后持久内存可以恢复到可理解的状态。然而，用于持久事务的现有算法显著地降低了程序的速度，因为它们依赖于一种称为崩溃一致性机制的技术，这种技术效率低下。该项目开发了两种新的崩溃一致性机制，克服了先前崩溃一致性机制的局限性。该项目应用这些新机制来开发新的持久事务算法。该项目将这些算法与之前的持久事务算法在真实的持久内存程序和平台上进行经验评估。新的崩溃一致性机制的一个关键洞察在于它们利用英特尔处理器中包含的称为硬件事务内存的技术的新颖方式。这项工作旨在提供比以前的方法更有效的高效崩溃一致性机制和持久事务算法，并影响这一快速发展领域的未来研究。该项目旨在提高实现可靠持久内存程序的关键结构的性能。通过实现主内存的性能和磁盘在发生故障时对内容的保留，这种改进可以帮助持久内存得到广泛的应用。实用的持久内存将提高程序员的工作效率，使计算系统更快、更可靠。这些好处反过来将影响依赖于计算的各个领域的社会，包括科学、工程、交通和医学。为了增加影响，除了已发表的研究论文外，还将向公众提供该项目的实施结果。PI教授的本科和研究生课程将包含该项目的研究课题。PI组织的讲习班将使本科生，特别是那些代表性不足的群体的学生，接触到计算机研究和研究生院。这些活动将有助于教育在项目主题和研究方面受过训练的计算机科学家的多样化劳动力。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Distilling the Real Cost of Production Garbage Collectors

提取垃圾收集器的实际生产成本

• DOI: 10.1109/ispass55109.2022.00005
• 发表时间: 2022
• 期刊: IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS
• 作者: Cai, Zixian;Blackburn, Stephen M.;Bond, Michael D.;Maas, Martin
• 通讯作者: Maas, Martin

Mako: a low-pause, high-throughput evacuating collector for memory-disaggregated datacenters

• DOI: 10.1145/3519939.3523441
• 发表时间: 2022-06
• 期刊: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation
• 作者: Haoran Ma;Chenxi Wang;Yifan Qiao;Miryung Kim

Developer's Responsibility or Database's Responsibility? Rethinking Concurrency Control in Databases

• 发表时间: 2023
• 作者: Chao-Wei Cheng;Mingzhe Han;Nuo Xu;Spyros Blanas;Michael D. Bond;Yang Wang

Cape: compiler-aided program transformation for HTM-based cache side-channel defense

Cape：基于 HTM 的缓存侧通道防御的编译器辅助程序转换

• DOI: 10.1145/3497776.3517778
• 发表时间: 2022
• 期刊: ACM SIGPLAN International Conference on Compiler Construction (CC
• 作者: Zhang, Rui;Bond, Michael D.;Zhang, Yinqian
• 通讯作者: Zhang, Yinqian