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Travel: Student Travel Support for HDF5 User Group (HUG) meeting 2023

Travel: Student Travel Support for HDF5 User Group (HUG) meeting 2023
差旅:2023 年 HDF5 用户组 (HUG) 会议的学生差旅支持
批准号:
2328457
负责人:
Surendra Byna
金额:
$1.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-06-01 至 2024-05-31

项目摘要

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中文摘要
翻译
2023年HDF5用户组(HUG)会议将于2023年8月16日至18日在俄亥俄州哥伦布市举行,将汇集各种专家,讨论HDF5库和工具的设计、开发和使用,从而形成基于HDF5的生态系统。相关的演讲和讨论为从事高性能计算和实验/观测数据管理和分析的研究生提供了大量的机会,以获得一系列的好处。HUG会议具有独特的性质。该活动将包括一系列来自研究人员、用户和图书馆开发人员的受邀演讲,他们都是该领域的专家。该活动还包括通过公开呼吁提交并由HUG组织团队选择的贡献演讲。该活动还包括HDF5小组和HDF5专家开发人员关于各种HDF5库组件的调优和优化策略以及故障排除指南的教程和演讲。HUG会议由HDF5和数据管理技术方面的一个领导专家组组织。该项目将资助学生参加会议,参与HDF5研究和用户社区。NSF提供的资金将对提高学生进入国家实验室、高性能计算中心、云公司和学术界工作的准备程度产生重大影响。HDF5(分层数据格式版本5)提供了用于存储和管理数据的数据模型、库和文件格式。由于其数据模型的多功能性、可移植性、寿命和效率,成千上万的科学应用程序使用HDF5作为其数据管理解决方案的一部分。HUG 2023会议组织者正在从不同的机构招募希望参加此次活动的学生。为了增加计算机科学中代表性不足的社区的参与,活动组织者将与俄亥俄州LSAMP联盟等社区进行接触。潜在的参与者将必须申请,提交的材料将由一个委员会根据科学价值和促进多样性进行评估。参加本次活动的学生将获得以下好处:(1)了解最新的数据管理、分析和I/O技术(计算平台、加速器和网络)及其特性,以及它们对设计HPC、云和边缘计算软件环境的影响;(2)深入了解在HPC系统和云环境中设计、开发和维护开源软件环境的挑战和技术;(3)接触软件开发的可持续性方面;(4)数据管理和存储软件栈系统调优培训;(5)与数据管理相关的国家实验室和行业专业人员进行互动。该项目将提供一个论坛,传播研究成果,连接研究人员,培养下一代多样化的劳动力,从而促进科学的进步。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值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
The HDF5 User group (HUG) meeting 2023, to be held in Columbus, OH from August 16-18th, 2023, will bring together a diverse set of experts to discuss the design, development, and usage of HDF5 libraries and tools that form an ecosystem based on HDF5. The associated presentations and discussions bring a plethora of opportunities for graduate students working in HPC and experimental / observational data management and analysis to get a range of benefits. The HUG meeting is unique in nature. The event will include a set of invited talks from researchers, users, and library developers, who are experts in the field. The event also includes contributed presentations that are submitted through an open call for presentation and selected by the HUG organizing team. The event also contains tutorials and presentations from the HDF5 Group and expert HDF5 developers on tuning and optimization strategies for various HDF5 library components and troubleshooting guidelines. The HUG meeting is organized by a leading group of experts in HDF5 and data management technologies. The project will fund students to participate in the meeting, to engage with the HDF5 research and user community. The funding provided by NSF will have a significant impact on increasing readiness of students for entering the workforce at national laboratories, HPC centers, cloud companies, and academia.HDF5 (Hierarchical Data Format version 5) provides a data model, library, and file format for storing and managing data. Due to the versatility of its data model, and its portability, longevity, and efficiency, hundreds of thousands of scientific applications use HDF5 as part of their data management solution. The HUG 2023 meeting organizers are recruiting students wishing to participate in the event from a diverse set of institutions. To increase the participation from the under-represented communities in computer science, the event organizers will engage with communities such as The Ohio LSAMP Alliance. Prospective participants will have to apply, and submissions are evaluated by a committee for scientific merit and for promoting diversity. The students will get several benefits from attending the event, including: (1) exposure to the latest data management, analysis, and I/O technologies (computing platforms, accelerators, and networks), their features, and their impact on designing HPC, cloud, and edge computing software environments; (2) in-depth exposure to the challenges and techniques in designing, developing, and maintaining open-source software environments for HPC systems and cloud environments; (3) exposure to the sustainability aspects of software development; (4) training on systematic tuning and optimization of data management and storage software stacks.; and (5) Interaction with national laboratory and industry professionals related to data management. The project will promote the progress of science as it provides a forum to disseminate research efforts, connect researchers, and train the next generation of diverse workforce.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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Collaborative Research: PPoSS: Large: A Full-stack Approach to Declarative Analytics at Scale
  • 批准号:
    2316158
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.43万
  • 财政年份:
    2023
  • 负责人:
    Surendra Byna
  • 依托单位:
海外基金