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Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research

Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research
第一类:Bridges-2:用于快速发展的科学和工程研究的可扩展融合计算、数据和分析
批准号:
1928147
负责人:
Sergiu Sanielevici
金额:
$1000.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-10-01 至 2025-09-30

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中文摘要
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英文摘要
Unlocking the power of data will accelerate discovery to advance science, improve our quality of life, and enhance national competitiveness. The increasing importance of data is driving a rapid evolution of research, creating opportunities for breakthroughs by combining the strengths of artificial intelligence (AI) and high-performance computing (HPC) simulation. To address this exciting opportunity for the nation's research community, the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh, in partnership with Hewlett Packard Enterprise (HPE), will deploy Bridges-2, a resource that will provide exceptional capacity and transformative capability for rapidly evolving, data- and computation-intensive research. Building on PSC's experience with its very successful Bridges system, Bridges-2 will take the next step in pioneering converged, scalable HPC, AI, and data; prioritize researcher productivity and ease of use; and provide an extensible architecture for interoperation with complementary data-intensive projects, campus resources, and clouds. Bridges-2 will deploy new high-performance technologies to deliver results faster by combining AI with simulation and through exceptional data-handling capabilities and will be integrated with NSF-funded cyberinfrastructure (CI) services for allocation, user-support, monitoring, etc., such as those currently provided by the Extreme Science and Engineering Discovery Environment (XSEDE) and XDMoD.Bridges-2 will accelerate discovery to benefit science, society, and the nation. Its unique architecture will catalyze breakthroughs in critically important areas such as understanding the brain, developing new materials for sustainable energy production and quantum computing, assembling genomes of crop species to improve agricultural efficiency, exploring the universe via multimessenger astrophysics, and enabling technologies for smart cities. A great amount of valuable research is in areas that did not traditionally use HPC until Bridges. Bridges-2 will therefore serve nontraditional communities and applications, which now have workloads requiring great capacity, as well as traditional ones. Its community data collections and user-friendly interfaces will democratize participation in science and engineering and foster collaboration and convergence research. The Bridges-2 project includes areas of focus on developing STEM talent, engaging industry, reaching beyond borders, and broadly engaging stakeholders to develop the nation's workforce, maximize learning through collaboration, and bring the benefits of advanced computing to the general public.PSC is integrating cutting-edge technologies to deploy a uniquely powerful national resource for turning data into knowledge. Bridges-2 will consist of Hewlett Packard Enterprise Apollo 2000 and ProLiant DL560 central processing unit (CPU) servers of three different memory capacities (256GB, 512GB, and 4TB) for extremely broad workloads; Apollo 6500 servers each with two CPUs and eight graphics processing units (GPUs) for AI (particularly deep learning) and to accelerate simulations; and ProLiant DL360/380 servers for gateways, databases, and utility and management functions. A hierarchical data management system using HPE's Data Management Framework (DMF) will provide seamless access with exceptional ease of use to active and archival data, spanning a Lustre parallel filesystem and StoreEver MSL6480 Tape Library. An HPE TierZero high-performance flash array will provide even higher performance for data-intensive applications. A Mellanox HDR InfiniBand interconnect will provide unified, high-performance data transport across compute and storage components. The Bridges-2 user environment will be extremely robust and flexible, supporting HPC applications, AI frameworks, high-productivity programming languages, containers, interactive and batch execution, workflows, databases, and science gateways. Bridges-2's uniquely flexible software environment and heterogeneous hardware resources will serve the needs of rapidly evolving research, opening the door to discovery and the path to prosperity.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(9)
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会议论文
Rebuilding Bridges: The tools used to deploy and maintain Bridges-2
重建桥梁:用于部署和维护 Bridges-2 的工具
DOI: 10.1145/3569951.3597589
发表时间: 2023
期刊: PEARC '23: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Sablosky, Geoffrey Ryan]
通讯作者: Sablosky, Geoffrey Ryan
AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment
用于 HPC 环境中高吞吐量预测的 AlphaFold2 工作流程优化
DOI: 10.1145/3491418.3535181
发表时间: 2022
期刊: PEARC '22: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Posada, Edwin Fernando, McGee, Francisco, Berger, Richard, Dorrell, Mitchell, Lamanna, Jason, Sanielevici, Sergiu, Carnevale, Vincenzo]
通讯作者: Carnevale, Vincenzo
Visualizing the Future of Louisiana’s Coastline
路易斯安那州海岸线的未来可视化
DOI: 10.1145/3569951.3597548
发表时间: 2023
期刊: PEARC '23: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Yoder, Matt, Puerto, Juan]
通讯作者: Puerto, Juan
COSMO: a Research Data Service Platform and Experiences from the BlueTides Project
COSMO:研究数据服务平台和BlueTides项目的经验
DOI: 10.1145/3491418.3535166
发表时间: 2022
期刊: PEARC '22: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Uran, Julian, Huang, Wanting, Puerto, Juan, Chen, Nianyi, Wang, Mei-Yu, Ni, Yueying, DiMatteo, Tiziana, Buitrago, Paola]
通讯作者: Buitrago, Paola
7
    Collaborative Research: Enabling Petascale Ensemble-based Data Assimilation for the Numerical Analysis and Prediction of High-Impact Weather
    • 批准号:
      0904941
    • 项目类别:
      Standard Grant
    • 资助金额:
      $7.58万
    • 财政年份:
      2009
    • 负责人:
      Sergiu Sanielevici
    • 依托单位:
    海外基金