SHF: Medium: Collaborative Research: ECC: Ephemeral Coherence Cohort for I/O Containerization and Disaggregation
SHF: Medium: Collaborative Research: ECC: Ephemeral Coherence Cohort for I/O Containerization and Disaggregation
批准号:
1763547
负责人:
Weikuan Yu
金额:
$50.0万
依托单位:
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
项目状态:
未结题
起止时间:
2018-06-01 至 2025-05-31
中文摘要
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英文摘要
Leadership computing facilities for high-performance computing (HPC) have a huge investment in the file and storage systems. The reason is that the HPC storage system often is the Achilles Heel of HPC systems, as it is fraught with numerous scenarios for contention, congestion and performance variability. This problem is getting worse due to: (a) the increased importance of data-driven HPC and the growth in the amount of data generated by large-scale simulation; and (b) the slower growth of disk speed, as compared to CPU speed. The addition of high-bandwidth persistent memory devices as burst-buffers brings in new opportunities for fast caching of application data while still allowing data persistence. However, the conventional approach of exploiting burst-buffers as yet another caching layer cannot reduce the lengthy and costly data processing steps in the deep I/O stack or reconcile occasional contentions inside the complex storage system. This project, therefore, seeks to exploit burst-buffers as repositories of persistent application-specific parallel file systems, with a lifetime commensurate to the lifetime of an application or an application campaign on a HPC system. This is a collaborative project between University of Illinois at Urbana-Champaign and Florida State University. This project formulates a research framework called Ephemeral Coherence Cohort (ECC) that offers an abstraction to represent the active collection of application data through containerization, insulate I/O activities across different applications, and enable storage disaggregation for ephemeral allocation and dynamic utilization of burst buffers. The proposed ECC framework aims to enhance a variety of mission-critical applications running on the Department of Energy and the National Science Foundation leadership computing facilities. The project strengthens the collaboration between University of Illinois Urbana-Champaign and the Florida State University. The project has plans to organize panels and birds-of-feather sessions on burst buffer research in the upcoming HPC conferences and collaborate with leaders of super-computing centers for wider community penetration with techniques from this research.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.
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Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks
通过预测深度神经网络压缩时间演化图像数据
DOI:
--
发表时间:
2021
期刊:
Cloud and Grid Computing
影响因子:
--
作者:
[Roy, Rupak, Sato, Kento, Bhattachrya, Subhadeep, Fang, Xingang, Joti, Yasumasa, Hatsui, Takaki, Hiraki, Toshiyuki, Guo, Jian, Yu, Weikuan.]
通讯作者:
Yu, Weikuan.
DOI:
10.1109/cluster51413.2022.00047
发表时间:
2022-09
期刊:
2022 IEEE International Conference on Cluster Computing (CLUSTER)
影响因子:
--
作者:
[Ismail Ataie;Weikuan Yu]
通讯作者:
Ismail Ataie;Weikuan Yu
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems
DFMan:高性能计算系统上基于图的数据流调度优化
DOI:
10.1109/ipdps53621.2022.00043
发表时间:
2022
期刊:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS
影响因子:
--
作者:
[Chowdhury, Fahim, Di Natale, Francesco, Moody, Adam, Mohror, Kathryn, Yu, Weikuan]
通讯作者:
Yu, Weikuan
DOI:
10.1109/cluster.2019.8891023
发表时间:
2019-09
期刊:
2019 IEEE International Conference on Cluster Computing (CLUSTER)
影响因子:
--
作者:
[Yue Zhu;Weikuan Yu;Bing Jiao;K. Mohror;A. Moody;Fahim Chowdhury]
通讯作者:
Yue Zhu;Weikuan Yu;Bing Jiao;K. Mohror;A. Moody;Fahim Chowdhury
DOI:
10.1016/j.bspc.2021.103237
发表时间:
2022-01
期刊:
Biomed. Signal Process. Control.
影响因子:
--
作者:
[Xingang Fang;Julia Klawohn;Alexander De Sabatino;Harsh Kundnani;Jon Ryan;Weikuan Yu;G. Hajcak]
通讯作者:
Xingang Fang;Julia Klawohn;Alexander De Sabatino;Harsh Kundnani;Jon Ryan;Weikuan Yu;G. Hajcak
共 10 条
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批准号:2403089
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资助金额:$22.5万
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SaTC: CORE: Small: Realizing Enhanced Authentication in the Mobile Era
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批准号:2131143
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依托单位:
IRES Track-1: I/O Research for Data-Intensive Analytics and Deep Learning
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批准号:1952302
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2020
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CRI: II-New: A Software Defined Infrastructure for Cross-Layer Research on Reconfigurable Architecture and Systems
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批准号:1822737
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项目类别:Standard Grant
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资助金额:$70.0万
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Eager: Collaborative Research: DiRecMR: Reconciling the Dichotomy of MapReduce for Efficient Speculation and Resilience
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批准号:1744336
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项目类别:Standard Grant
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资助金额:$8.0万
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财政年份:2017
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依托单位:
CSR: Small: XooMR: Cross-Layer and Cross-Phase Cooperation for Fair and Efficient MapReduce
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批准号:1564647
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项目类别:Standard Grant
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资助金额:$37.81万
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EAGER: Tadoop: A Dual-Purpose Framework Taming the Bipolarity of Storage and Communication for High-Performance Computing and Data Analytics
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批准号:1561041
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项目类别:Standard Grant
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资助金额:$20.48万
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EAGER: Tadoop: A Dual-Purpose Framework Taming the Bipolarity of Storage and Communication for High-Performance Computing and Data Analytics
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批准号:1432892
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项目类别:Standard Grant
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资助金额:$29.81万
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财政年份:2014
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CSR: Small: XooMR: Cross-Layer and Cross-Phase Cooperation for Fair and Efficient MapReduce
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批准号:1320016
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项目类别:Standard Grant
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资助金额:$47.5万
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财政年份:2013
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负责人:Weikuan Yu
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依托单位:
II-New: A Compute and Storage Cluster for Multidisciplinary Research on Computer Systems and Scientific Simulations
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批准号:1059376
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项目类别:Standard Grant
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资助金额:$39.96万
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财政年份:2011
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负责人:Weikuan Yu
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依托单位:
海外基金