CAREER: Enhancing Data Center Storage System with Persistent Memory

职业：利用持久内存增强数据中心存储系统

• 批准号: 1829524
• 负责人: Jishen Zhao
• 金额: $ 45.42万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1829524&HistoricalAwards=false
• 关键词: CAREER; Enhancing; Data; Center; Storage

Persistent memory technique is envisioned to revolutionize data center storage systems. Its unpredictable performance, energy, and cost benefits can adversely affect productivity, efficiency, and profit in data centers. Though promising, this technical transition can fundamentally change the decades-long memory and storage system design assumptions and introduce critical design challenges. For example, new performance landscape can change the energy efficiency model of data centers and break the existing load balance across various system resources; traditional data reliability schemes can become suboptimal due to the discrepant failure patterns and reliability issues of new memory technologies; current applications and system software may not fully exploit the benefits offered by persistent memory. This research focuses on enhancing the performance, energy-efficiency, and reliability of data center storage system by fully exploiting the potential of persistent memory. The central approach is to rethink data center architecture design strategies and memory/storage stack management, making them persistent memory aware. The project devises fundamental techniques in efficiency modeling, load balancing of critical system resources, and low-cost reliability guarantee across single server memory/storage stack and distributed storage systems. The project also enhances a set of key data center applications by leveraging persistent memory. It is expected that research ideas developed in this project will enable significantly improved access performance, energy efficiency, reliability, and lifetime in data center memory and storage systems, taking a large step in making our daily lives more productive.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.

持久存储器技术被设想为革新数据中心存储系统。其不可预测的性能、能源和成本效益可能会对数据中心的生产力、效率和利润产生不利影响。虽然前景看好，但这种技术转变可能会从根本上改变长达数十年的内存和存储系统设计假设，并带来关键的设计挑战。例如，新的性能格局可能会改变数据中心的能源效率模型，并打破各种系统资源之间的现有负载平衡;传统的数据可靠性方案可能会因新内存技术的不一致故障模式和可靠性问题而变得次优;当前的应用程序和系统软件可能无法充分利用持久内存提供的好处。本文的研究重点是通过充分挖掘持久存储器的潜力来提高数据中心存储系统的性能、能效和可靠性。核心方法是重新考虑数据中心架构设计策略和内存/存储堆栈管理，使其具有持久内存意识。该项目设计了效率建模，关键系统资源的负载平衡，以及跨单个服务器内存/存储堆栈和分布式存储系统的低成本可靠性保证的基本技术。该项目还通过利用持久内存增强了一组关键的数据中心应用程序。该项目的研究成果有望大幅提高数据中心存储器和存储系统的访问性能、能效、可靠性和使用寿命，为提高我们的日常生活效率迈出重要一步。该奖项体现了NSF的法定使命，通过基金会的智力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

Vorpal: Vector Clock Ordering For Large Persistent Memory Systems

Vorpal：大型持久内存系统的矢量时钟排序

• DOI: 10.1145/3293611.3331598
• 发表时间: 2019
• 期刊: ACM Symposium on Principles of Distributed Computing
• 作者: Korgaonkar, Kunal;Izraelevitz, Joseph;Zhao, Jishen;Swanson, Steven
• 通讯作者: Swanson, Steven

Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach

• DOI: 10.1109/micro.2018.00059
• 发表时间: 2018-10
• 期刊: 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
• 作者: Jiawen Liu;Hengyu Zhao;Matheus A. Ogleari;Dong Li;Jishen Zhao

SubZero: zero-copy IO for persistent main memory file systems

SubZero：持久主内存文件系统的零拷贝 IO

• DOI: 10.1145/3409963.3410489
• 发表时间: 2020
• 期刊: ACM SIGOPS Asia-Pacific Workshop on Systems (APSys
• 作者: Kim, Juno;Soh, Yun Joon;Izraelevitz, Joseph;Zhao, Jishen;Swanson, Steven
• 通讯作者: Swanson, Steven

Binary Star: Coordinated Reliability in Heterogeneous Memory Systems for High Performance and Scalability

双星：异构内存系统中协调可靠性以实现高性能和可扩展性

• DOI: 10.1145/3352460.3358262
• 发表时间: 2019
• 期刊: IEEE/ACM International Symposium on Microarchitecture
• 作者: Liu, Xiao;Roberts, David;Ausavarungnirun, Rachata;Mutlu, Onur;Zhao, Jishen
• 通讯作者: Zhao, Jishen

Characterizing and Modeling Non-Volatile Memory Systems

• DOI: 10.1109/micro50266.2020.00049
• 发表时间: 2020-10
• 期刊: 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
• 作者: Zixuan Wang;Xiao Liu;Jian Yang-;Theodore Michailidis;S. Swanson;Jishen Zhao