Operations & Maintenance for the Endless Frontier

运营

• 批准号: 1854828
• 负责人: Daniel Stanzione
• 金额: $ 6000万
• 依托单位: University of Texas at Austin
• 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
• 起止时间: 2019-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1854828&HistoricalAwards=false
• 关键词: Operations; & Maintenance; Endless; Frontier

The Texas Advanced Computing Center (TACC) has been funded to acquire and deploy a system called Frontera, a powerful new advanced computational instrument for Science and Engineering (S&E) research. The name of the system is inspired by Vannevar Bush's paper "The Endless Frontier", which led to the establishment of the National Science Foundation in 1950. Bush argued that science was humanity's last frontier, leading to an endless stream of innovation and discovery that would improve the human condition. Today, computation is one of the most critical tools to advance more deeply into the Endless Frontier. Frontera provides a system of unprecedented scale in the NSF advanced computational portfolio that will yield productive science on day one, while also preparing the community for the shift to even more capable future systems. When deployed, the system will provide more than three times the performance of the current NSF leadership-class computing resource and enable S&E discoveries across a broad range of domains that were not possible otherwise. This project supports the Frontera acquisition plan with the operations and maintenance plan during the production life of the system.The plan for Frontera operations and maintenance is anchored by an experienced team of partners and vendors with a community-leading track record of performance. The project will support the system through a comprehensive project plan, including first-class user support and training, education, outreach, documentation, data management, visualization, analytics-driven application support, and research collaboration. The plan also features a dedicated, broad-based science team, selected to ensure that S&E applications run effectively on a resource of this scale. Frontera will support big science in virtually all S&E disciplines through a dedicated leadership-class computing science team, deep computational science engagements of the Collaborative Support team, and the innovative use of containers. Additionally, the Frontera system will support a broad range of software services, including Application Programmer Interfaces (APIs) to support an evolving user base that will make more extensive use of science gateways, automated workflows, and web services. The project will develop new expertise and techniques for leadership-class computing and data-driven applications that benefit future users worldwide through publications, training, and consulting. Furthermore, the Frontera project will serve as a bridge for the S&E community to future systems in 2024 and beyond. The project will leverage the team's unique approach to education, outreach, and training activities to prepare new and current users for leadership-class computing and to encourage, educate, and develop the next generation of computational researchers. The team includes leaders in campus bridging and minority-serving institution (MSI) outreach, and will use data technologies that will increase the number and diversity of people using leadership-class computing for traditional and data-driven applications.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.

德克萨斯先进计算中心(TACC)已获得资金，用于购买和部署一个名为Frontera的系统，这是一个强大的新型先进计算仪器，用于科学和工程(S和安培；E)的研究。该系统的名字灵感来自于Vannvar Bush的论文《无尽的边疆》，这篇论文导致了1950年国家科学基金会的成立。布什认为，科学是人类最后的前沿，导致了源源不断的创新和发现，这将改善人类的状况。今天，计算是更深入地进入无尽边疆的最关键工具之一。Frontera在NSF的高级计算产品组合中提供了一个规模空前的系统，该系统将在第一天产生生产性科学，同时也为社区向更强大的未来系统的转变做好准备。部署后，该系统将提供当前美国国家科学基金会领导级计算资源的三倍以上的性能，并使S和安培能够在广泛的领域进行发现，否则这是不可能的。该项目支持Frontera采购计划和系统生产生命周期内的运营和维护计划。Frontera运营和维护计划由经验丰富的合作伙伴和供应商团队组成，具有社区领先的业绩记录。该项目将通过全面的项目计划为该系统提供支持，包括一流的用户支持和培训、教育、外联、文件、数据管理、可视化、以分析为导向的应用支持和研究协作。该计划还包括一个专门的、基础广泛的科学团队，他们被选中，以确保S和安永的应用程序在这种规模的资源上有效运行。Frontera将通过专门的领导级计算科学团队、协作支持团队的深度计算科学活动以及容器的创新使用，为几乎所有S和安培学科的大科学提供支持。此外，Frontera系统将支持广泛的软件服务，包括应用程序编程接口(API)，以支持不断发展的用户群，这些用户群将更广泛地使用科学网关、自动化工作流程和网络服务。该项目将为领导级计算和数据驱动应用开发新的专业知识和技术，通过出版、培训和咨询使世界各地的未来用户受益。此外，Frontera项目将成为S&E社区在2024年及以后连接未来系统的桥梁。该项目将利用该团队在教育、推广和培训活动方面的独特方法，为新用户和现有用户做好领导级计算的准备，并鼓励、教育和发展下一代计算研究人员。该团队包括校园桥梁和少数群体服务机构(MSI)推广方面的领导者，并将使用数据技术来增加使用领导者级计算的传统和数据驱动应用程序的人数和多样性。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。

项目成果

Designing Hierarchical Multi-HCA Aware Allgather in MPI

• DOI: 10.1145/3547276.3548524
• 发表时间: 2022-08
• 期刊: Workshop Proceedings of the 51st International Conference on Parallel Processing
• 作者: Tu Tran;Benjamin Michalowicz;B. Ramesh;H. Subramoni;A. Shafi;D. Panda

Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries

GPU 感知 MPI 库的网络辅助非连续传输

• DOI: 10.1109/mm.2023.3241133
• 发表时间: 2023
• 期刊: IEEE Micro
• 影响因子: 3.6
• 作者: Suresh, Kaushik Kandadi;Khorassani, Kawthar Shafie;Chen, Chen Chun;Ramesh, Bharath;Abduljabbar, Mustafa;Shafi, Aamir;Subramoni, Hari;Panda, Dhabaleswar K.
• 通讯作者: Panda, Dhabaleswar K.

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems

OMB-Py：用于评估 HPC 系统上 MPI 库性能的 Python 微基准

• DOI: 10.1109/ipdpsw55747.2022.00143
• 发表时间: 2022
• 期刊: 23rd Parallel and Distributed Scientific and Engineering Computing Workshop (PDSEC
• 作者: Alnaasan, Nawras;Jain, Arpan;Shafi, Aamir;Subramoni, Hari;Panda, Dhabaleswar K
• 通讯作者: Panda, Dhabaleswar K

Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters

Hy-Fi：高性能 GPU 集群上的混合五维并行 DNN 训练

• DOI: 10.1007/978-3-031-07312-0_6
• 发表时间: 2022
• 期刊: Proceedings International Conference on High Performance Computing
• 作者: Jain, A;Shafi, A.;Anthony, Q.;Kousha, P.;Subramoni, H.;Panda, DK.
• 通讯作者: Panda, DK.

Highly Efficient Alltoall and Alltoallv Communication Algorithms for GPU Systems

适用于 GPU 系统的高效 Alltoall 和 Alltoallv 通信算法

• DOI: 10.1109/ipdpsw55747.2022.00014
• 发表时间: 2022
• 期刊: Heterogeneity in Computing Workshop
• 作者: Chen, Chen-Chun;Khorassani, Kawthar Shafie;Anthony, Quentin G.;Shafi, Aamir;Subramoni, Hari;Panda, Dhabaleswar K.
• 通讯作者: Panda, Dhabaleswar K.