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CC* Compute: Deep Bayou: Accelerating Scientific Discoveries with A GPU Cluster

CC* Compute: Deep Bayou: Accelerating Scientific Discoveries with A GPU Cluster
CC* 计算:Deep Bayou:利用 GPU 集群加速科学发现
批准号:
2020446
负责人:
Le Yan
金额:
$39.88万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2022-06-30

项目摘要

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中文摘要
翻译
现代科学越来越依赖高性能计算(HPC)和数据分析来发现我们的世界。近年来,图形处理单元(GPU)是一种专门的计算机硬件,最初是为具有独特的高度并行体系结构的图形应用程序开发的,已成为支持这两种类型工作负载的关键技术。通过这个项目,路易斯安那州立大学(LSU)扩展了现有的计算设施,增加了Deep Bayou,这是一个由12个计算节点和26个NVIDIA GPU设备组成的GPU集群。Deep Bayou支持的初始研究项目包括粒子物理、使用LIGO的引力波来源表征、海洋和海洋-大气建模、生物信息学、灾害管理基础设施建模、材料科学、计算生物学和基础GPU架构设计。深湾基础设施和组织也对通过申请程序开展更多倡议和项目持开放态度。除了路易斯安那州立大学校园内的研究人员外,该项目还与开放科学网格(OSG)合作,在全国范围内的研究界共享GPU资源。深湾将为建设未来的HPC劳动力做出重大贡献,因为许多培训和教育活动都计划利用它的可用性。通过路易斯安那州光网络基础设施(LONI)、巴吞鲁日:带来青年技术、教育和成功(BRBYTES)和本科生研究体验(REU)等现有的州和联邦赞助项目,K-12学生和本科生可以获得在集群上促进的课程和研讨会,其中许多来自代表不足的少数族裔社区。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
Modern science increasingly relies on high performance computing (HPC) and data analytics to make discoveries about our world. In recent years, graphics processing units (GPUs), a specialty computer hardware originally developed for graphic applications with a unique, highly parallel architecture, has become a key enabling technology for both types of workloads. Through this project, Louisiana State University (LSU) expands its existing computing facilities with the addition of Deep Bayou, a GPU cluster consisting of 12 compute nodes and 26 NVIDIA GPU devices.The initial research projects enabled by Deep Bayou include particle physics, gravitational wave source characterization with LIGO, ocean and ocean-atmosphere modeling, bioinformatics, infrastructure modeling for disaster management, material sciences, computational biology, and fundamental GPU architecture design. The Deep Bayou infrastructure and organization is also open to additional initiatives and projects through an application process. In addition to researchers across LSU campus, the project partners with the Open Science Grid (OSG) to share the GPU resources among the research community across the nation. Deep Bayou will make a significant contribution to the building of future HPC workforce, as many training and education activities plan to leverage its availability. Through existing state- and federal-sponsored programs such as Louisiana Optical Network Infrastructure (LONI), Baton Rouge: Bringing Youth Technology, Education and Success (BRBYTES) and Research Experiences for Undergraduates (REU), K-12 students and undergraduates can have access to courses and workshops facilitated on the cluster, many of whom are from underrepresented minority communities.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: 10.1109/srds51746.2020.00035
发表时间: 2020-09
期刊: 2020 International Symposium on Reliable Distributed Systems (SRDS)
影响因子: --
作者: [Travis LeCompte;Fang Qi;Lu Peng]
通讯作者: Travis LeCompte;Fang Qi;Lu Peng
DOI: 10.1109/iccd50377.2020.00047
发表时间: 2020-10
期刊: 2020 IEEE 38th International Conference on Computer Design (ICCD)
影响因子: --
作者: [Haoqiang Guo;Lu Peng;Jian Zhang-;Qing Chen;Travis LeCompte]
通讯作者: Haoqiang Guo;Lu Peng;Jian Zhang-;Qing Chen;Travis LeCompte
DOI: 10.1109/tc.2021.3122993
发表时间: 2022-09
期刊: IEEE Transactions on Computers
影响因子: 3.7
作者: [Travis LeCompte;Lu Peng;Xu Yuan;N. Tzeng]
通讯作者: Travis LeCompte;Lu Peng;Xu Yuan;N. Tzeng
DOI: 10.1016/j.ocemod.2022.102059
发表时间: 2022-06
期刊: Ocean Modelling
影响因子: 3.2
作者: [Jun‐Hong Liang;Jian Yuan;X. Wan;Jinliang Liu;Bingqing Liu;H. Jang;M. Tyagi]
通讯作者: Jun‐Hong Liang;Jian Yuan;X. Wan;Jinliang Liu;Bingqing Liu;H. Jang;M. Tyagi
CC* Data Storage: Tiger Den: sustainable campus-wide data system to support CI-enabled research and education
  • 批准号:
    2322246
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.83万
  • 财政年份:
    2023
  • 负责人:
    Le Yan
  • 依托单位:
海外基金