CC* Data Storage: KoaStore: A High Performance and Flexible Research Storage Resource
CC* Data Storage: KoaStore: A High Performance and Flexible Research Storage Resource
批准号:
2232862
负责人:
Sean Cleveland
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2024-08-31
中文摘要
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英文摘要
The University of Hawai‘i’s ‘CC* Data Storage: KoaStore - A High Performance and Flexible Research Storage Resource supports data and computationally intensive research, education and practice across the University of Hawai’i (UH) ten-campus system. KoaStore provides UH faculty, researchers and students state-of-the-art data infrastructure focused towards machine learning, artificial intelligence and large scale simulation. KoaStore enables a larger scope and scale of analysis by providing 4.4PB of high speed Lustre storage platform accessible from all local, regional and national compute resources. KoaStores’s 200Gb HDR infiniband network enables KoaStore to achieve I/O speeds up to 96Gb/s and leading to increased computational throughput for I/O heavy workflows on local Mana and Koa high performance computing resources. KoaStore’s external network connections increase data transfer speeds to national, commercial cloud and academic resources via the combination of 100Gb/s data transfer node connection and high speed parallel file system, enhancing end-to-end big data workflows. The strategic partnership with the Open Science Data Federation allows for KoaStore to serve the national research community as well as provide a gateway to a compute platform UH researchers can access their data on with national computing resources.Integration of KoaStore’s high speed file system with the regional Jestream2 NSF Cloud infrastructure hosted at the University of Hawaii allows researchers to easily span computing environments and modalities between the cloud and local computing resources to support new deep learning and artificial intelligence workflows, visualizations and applications. Further, the KoaStore platform aids hands-on training in data science and computational science for the next generation of researchers and data scientists through partnership with the Hawaii Data science institute and local community for workshops and classroom access.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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财政年份:2022
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依托单位:
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财政年份:2021
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财政年份:2019
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依托单位:
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