课题基金 / 基金详情

Collaborative Research: CNS Core: Large: Systems and Verifiable Metrics for Sustainable Data Centers

Collaborative Research: CNS Core: Large: Systems and Verifiable Metrics for Sustainable Data Centers
合作研究:CNS 核心:大型:可持续数据中心的系统和可验证指标
批准号:
2214980
负责人:
Anshul Gandhi
金额:
$92.84万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2026-09-30

项目摘要

项目成果

Anshul Gandhi的其他基金

相似基金

相关文献

中文摘要
翻译
数据中心已经对全球碳足迹做出了重大贡献。然而,资源密集型大数据和机器学习工作负载越来越受欢迎,势必使数据中心运营难以为继。该项目设计了一套可持续发展感知软件系统(SASY),以支持“按设计实现可持续发展”的数据中心。Sassy从整体上关注可持续性,考虑到计算设备的生命周期碳足迹、能源的清洁度和设备的可靠性。为了测量每个作业端到端的可持续性成本,开发了一个全栈测量框架。为了让终端用户参与可持续性工作,设计了新的方案编制模型和工具,使用户能够具体说明他们的可持续性和绩效目标。这些指标和模型共同指导Sassy在数据中心范围内做出明智的可持续管理选择。采用Sassy解决方案可节省可持续发展成本,使整个社会受益。此外,时髦的编程模型和工具允许开发人员构建更可持续的应用程序,从而实现“按设计可持续”的软件开发。数据中心运营商和行业合作伙伴可以直接受益于Sassy的开源软件和模型,这些软件和模型通过项目网站https://www.pace.cs.stonybrook.edu/sassy.html.公开下一代从业者和研究人员将通过项目产生的教育和指导机会将可持续发展视为一流的衡量标准。该项目是对可持续发展设计(NSF-22-060)的回应,并由其部分资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Data centers already contribute significantly to the global carbon footprint. However, the rise in popularity of resource-intensive Big Data and Machine Learning workloads is poised to make data center operations unsustainable. This project designs a suite of Sustainability Aware Software SYstems (SASSY) to enable "sustainable-by-design" data centers. SASSY focuses on sustainability holistically, considering the lifecycle carbon footprint of computing equipment, cleanliness of energy source, and device reliability. To measure per-job end-to-end sustainability costs, a full-stack measurement framework is developed. To involve end-users in sustainability efforts, new programming models and tools are designed to enable users to specify their sustainability and performance objectives. The metrics and models together guide SASSY to make wise data-center-wide sustainable management choices.The adoption of SASSY solutions leads to sustainability savings that benefit the society at large. Further, the SASSY programming models and tools allow developers to build more sustainable applications, enabling "sustainable-by-design" software development. Data center operators and industry partners can directly benefit from SASSY's open-source software and models, which are made public through the project Website: https://www.pace.cs.stonybrook.edu/sassy.html. The next generation of practitioners and researchers are taught to consider sustainability as a first-class metric via educational and mentoring opportunities that the project generates.This project was in response to and partially funded by Design for Sustainability in Computing (NSF-22-060)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(8)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2023
期刊:
影响因子: --
作者: [Jessica Maghakian;Russell Lee;M. Hajiesmaili;Jian Li;R. Sitaraman;Zhenhu Liu]
通讯作者: Jessica Maghakian;Russell Lee;M. Hajiesmaili;Jian Li;R. Sitaraman;Zhenhu Liu
SLO-Aware Space-Time GPU Sharing for DL Workloads
DL 工作负载的 SLO 感知时空 GPU 共享
DOI: --
发表时间: 2022
期刊: Non-archival poster presentation in the 13th ACM Symposium on Cloud Computing
影响因子: --
作者: [Hafeez, Ubaid U., Gandhi, A.]
通讯作者: Gandhi, A.
DOI: 10.1109/tmc.2023.3285882
发表时间: 2024-05
期刊: IEEE Transactions on Mobile Computing
影响因子: 7.9
作者: [Yu Liu;Yingling Mao;Z. Liu;Yuanyuan Yang]
通讯作者: Yu Liu;Yingling Mao;Z. Liu;Yuanyuan Yang
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [I. Akgun;Santiago Vargas;Michael Arkhangelskiy;Andrew Burford;Michael McNeill;A. Balasubramanian;Anshul Gandhi;E. Zadok]
通讯作者: I. Akgun;Santiago Vargas;Michael Arkhangelskiy;Andrew Burford;Michael McNeill;A. Balasubramanian;Anshul Gandhi;E. Zadok
8
    Collaborative Research: DESC: Type I: Extending lifetimes of partially broken machines to repurpose e-waste
    • 批准号:
      2324859
    • 项目类别:
      Standard Grant
    • 资助金额:
      $25.8万
    • 财政年份:
      2023
    • 负责人:
      Anshul Gandhi
    • 依托单位:
    NSF Student Travel Grant for the 2019 ACM Sigmetrics International Conference on Measurement and Modeling of Computer Systems (Sigmetrics 2019)
    • 批准号:
      1916007
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.5万
    • 财政年份:
      2019
    • 负责人:
      Anshul Gandhi
    • 依托单位:
    CAREER: Enabling Predictable Performance in Cloud Computing
    • 批准号:
      1750109
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $40.03万
    • 财政年份:
      2018
    • 负责人:
      Anshul Gandhi
    • 依托单位:
    II-EN: Collaborative Research: Enhancing the Parasol Experimental Testbed for Sustainable Computing
    • 批准号:
      1730128
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.42万
    • 财政年份:
      2017
    • 负责人:
      Anshul Gandhi
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)