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II-EN: Collaborative Research: Enhancing the Parasol Experimental Testbed for Sustainable Computing

II-EN: Collaborative Research: Enhancing the Parasol Experimental Testbed for Sustainable Computing
II-EN:协作研究:增强可持续计算的 Parasol 实验测试台
批准号:
1730128
负责人:
Anshul Gandhi
金额:
$2.42万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2022-06-30

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中文摘要
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英文摘要
This project will enhance an experimental datacenter for sustainable computing. Datacenters consume vast amounts of energy, totaling about 1.8% of the US electricity usage in 2014. Thus, the energy efficiency, energy-related costs, and overall sustainability of datacenters are of critical concerns. NSF funded experimental green datacenter called Parasol has previously demonstrated that the combination of green design and intelligent software management systems can lead to significant reductions in energy consumption, carbon emission, and cost. The enhanced version of this project will update energy sources, network technologies and management software.Running real experiments in live conditions using Parasol led to findings that were not possible in simulation. This proposal seeks to update and enhance Parasol with current and next generation power-efficient servers, improve network connectivity and integrate software-defined networking (SDN) and Wi-Fi capabilities, increase solar energy generation capacity, add a low emission fuel cell power source, diversify energy storage, and improve the cooling system to advance green computing. The PIs will need to update and enhance Parasol's current software stack for monitoring, programmatic control, and remote access for the new hardware enhancements. Specific research goals are resource management in green datacenters, that includes coordinated workload, cooling, and energy scheduling against environmental and load variability to maximize the benefits of green datacenters and to help improve grid power management leveraging accelerators such as GPUs and deep learning hardware, which promise excellent performance/watt ratios.
期刊论文(12)
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科研奖励(0)
会议论文
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: 10.1145/3630614.3630622
发表时间: 2023-10
期刊: ACM SIGENERGY Energy Informatics Review
影响因子: --
作者: [Anshul Gandhi;K. Ghose;Kartik Gopalan;Syed Rafiul Hussain;Dongyoon Lee;David;Liu;Zhen Liu;P. McDaniel;Shuai Mu;E. Zadok]
通讯作者: Anshul Gandhi;K. Ghose;Kartik Gopalan;Syed Rafiul Hussain;Dongyoon Lee;David;Liu;Zhen Liu;P. McDaniel;Shuai Mu;E. Zadok
Fair Allocation of Heterogeneous and InterchangeableResources
异构和可互换资源的公平分配
DOI: 10.1145/3305218.3305227
发表时间: 2019
期刊: SIGMETRICS Perform. Evaluation Rev.
影响因子: --
作者: [Xiao Sun, T. Le, Mosharaf Chowdhury, Zhenhua Liu]
通讯作者: Zhenhua Liu
EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot
EASY:减少 Pinot 尾部延迟的有效段分配策略
DOI: 10.1109/icdcs.2018.00144
发表时间: 2018
期刊: 2018 IEEE 38th International Conference on Distributed Computing Systems
影响因子: --
作者: [Javadi, Seyyed Ahmad, Gupta, Harsh, Manhas, Robin, Sahu, Shweta, Gandhi, Anshul]
通讯作者: Gandhi, Anshul
9
    Collaborative Research: DESC: Type I: Extending lifetimes of partially broken machines to repurpose e-waste
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      2023
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      $2.5万
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      2019
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    • 批准号:
      1750109
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    • 资助金额:
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      2018
    • 负责人:
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