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CNS Core: Medium: Collaborative Research: Persistent memory objects for consistent sharing in Non-Volatile Main Memories

CNS Core: Medium: Collaborative Research: Persistent memory objects for consistent sharing in Non-Volatile Main Memories
CNS 核心:中:协作研究:用于非易失性主存储器中一致共享的持久内存对象
批准号:
1900724
负责人:
Yan Solihin
金额:
$49.97万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2023-09-30

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中文摘要
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英文摘要
The continual performance growth of data center servers is critical to the nation's economic competitiveness and as a catalyst for progress in scientific endeavors. Two important data center components are the main memory, which has fast access but can only store data temporarily, and storage, which keeps data permanently but suffers from slow access. Recent technology advances have brought in a new non-volatile memory, now commercially available, that can both host permanent data and be accessed quickly. However, to reach its potential, utilizing these new memory technologies requires rethinking of how data should be persistently and efficiently stored. This proposal describes a new abstraction for storing persistent data in non-volatile memory: hyperfiles, which are long lived, provide fast access, and can be quickly attached to and detached from a process address space. Hyperfiles provide naming and permission characteristics similar to (but faster than) files, and speed closer to memory. They are accessed directly through loads/stores to avoid system call overhead. This project also investigates new sharing semantics for hyperfiles, allowing non-cooperating processes to share them simultaneously and safely, while keeping the crash recovery property. Architecture support to accelerate hyperfile sharing will also be designed and evaluated. This project will enable fast access to persistent data by reducing overheads inherent in file access, and thus enable more concurrent use of data through strong sharing semantics. Big-data workloads becoming common across all industries will either perform better or require fewer resources. The software and prototyping artifacts produced will enable other researchers to further enhance the design, and to adapt workloads to take advantage of the hyperfile abstraction. The education and outreach components of this plan will train the next generation of programmers on use of persistent memory, and will encourage underrepresented students to join the next generation of programmers. The project will maintain data, code, results, publications, and simulator artifacts for the duration of the project plus five years afterward. Each artifact will be released as it reaches sufficient maturity. They will be posted at: https://sites.google.com/view/hyperfile.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.
期刊论文(6)
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会议论文
DOI: 10.1109/micro50266.2020.00015
发表时间: 2020-10
期刊: 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
影响因子: --
作者: [Alexander Freij;Shougang Yuan;Huiyang Zhou;Yan Solihin]
通讯作者: Alexander Freij;Shougang Yuan;Huiyang Zhou;Yan Solihin
DOI: 10.1109/hpca56546.2023.10071088
发表时间: 2023-02
期刊: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
影响因子: --
作者: [Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin]
通讯作者: Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin
DOI: 10.1145/3575693.3575696
发表时间: 2023-01
期刊: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2
影响因子: --
作者: [Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin]
通讯作者: Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin
DOI: 10.1109/hpca56546.2023.10071082
发表时间: 2023-02
期刊: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
影响因子: --
作者: [Alexander Freij;Huiyang Zhou;Yan Solihin]
通讯作者: Alexander Freij;Huiyang Zhou;Yan Solihin
6
    Collaborative Research: CSR: Medium: Scaling Secure Serverless Computing on Heterogeneous Datacenters
    Collaborative Research: CNS Core: Medium: Understanding and Strengthening Memory Security for Non-Volatile Memory
    Collaborative Research: PPoSS: Planning: Scaling Secure Serverless Computing on Hetergeneous Datacenters
    SHF: Small: Collaborative Research: Efficient Memory Persistency for GPUs
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