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CNS Core: Small: Managed Languages: From Non-volatile Memory to Persistence

CNS Core: Small: Managed Languages: From Non-volatile Memory to Persistence
CNS 核心:小型:托管语言:从非易失性内存到持久性
批准号:
1909731
负责人:
J. Eliot Moss
金额:
$50.0万
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
项目状态:
已结题
起止时间:
2019-07-01 至 2024-06-30

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中文摘要
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英文摘要
Soon, computer main memories will likely use new technology, non-volatile memory (NVM). While current memories lose their contents when power is removed, NVM will retain its contents. However, computers keep some recent information inside the processor. That data will still be lost. So, NVM will not by itself enable users to get back to exactly where they were. To make full recovery possible, programs will need to use NVM carefully. Doing this well for modern programming languages (such as Java and Python) is hard. This project will provide a common base of support for NVM for such languages.Clean language semantics for non-volatility is called persistence. Managed languages (ones with garbage collection and threads) require both appropriate persistence semantics and a robust performant implementation. Adding clean persistence in the presence of threads and garbage collection is hard, and modern multi-core machines present additional challenge because of their weak memory consistency models. The project will extend a language-independent virtual machine with flexible persistence semantics. This will help avoid having every language project build its own support from scratch. The project direction is to support transactions over a persistent heap of containers and versioned objects.The project will build on Mu (http://microvm.org), an existing virtual machine that has commercial interest. A persistent virtual machine will save development effort and encourage creative use of persistence in applications. This will contribute to innovation, reliability, and trustworthiness of software. The project team will continue to engage in recruiting students from under-represented groups, including mentoring of future applicants and visits to historically minority institutions.The project's products will reside in a repository at https://github.com/umass-moss-lab/persistent-mu, which will continue to be available for at least three years after the project concludes. The repository will contain released code, data, etc. Non-code materials will be available under the Creative Commons license, and code under the Apache open source license, subject to the University of Massachusetts policy on intellectual property.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(1)
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会议论文
Towards a Model Checking Framework for a New Collector Framework
面向新收集器框架的模型检查框架
DOI: 10.1145/3546918.3546923
发表时间: 2022
期刊: MPLR '22: Proceedings of the 19th International Conference on Managed Programming Languages and Runtimes
影响因子: --
作者: [Xu, Bochen, Moss, Eliot, Blackburn, Stephen M.]
通讯作者: Blackburn, Stephen M.
FMitF:Track I: Verified Safe and Fair Machine Learning
  • 批准号:
    2018372
  • 项目类别:
    Standard Grant
  • 资助金额:
    $74.99万
  • 财政年份:
    2020
  • 负责人:
    J. Eliot Moss
  • 依托单位:
SHF: Medium: Collaborative Research: Micro-Virtual Machines for Managed Languages: Abstraction, contained
  • 批准号:
    1832624
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    Standard Grant
  • 资助金额:
    $26.16万
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    2017
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CSR: Medium: Collaborative Research: Portable Performance for Parallel Managed Languages Across the Many-Core Spectrum
  • 批准号:
    1833291
  • 项目类别:
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  • 资助金额:
    $0.91万
  • 财政年份:
    2017
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    1409284
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  • 资助金额:
    $55.77万
  • 财政年份:
    2014
  • 负责人:
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