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

基本信息

  • 批准号:
    2328457
  • 负责人:
  • 金额:
    $ 1万
  • 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
  • 起止时间:
    2023-06-01 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

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.
HDF5用户组(HUG)2023会议将于2023年8月16日至18日在俄亥俄州哥伦布举行,将汇集一系列专家,讨论构成基于HDF5的生态系统的HDF5库和工具的设计,开发和使用。相关的演讲和讨论为从事HPC和实验 /观察数据管理和分析的研究生提供了很多机会,以获得一系列好处。拥抱会议本质上是独一无二的。该活动将包括一系列来自该领域专家的研究人员,用户和图书馆开发人员的邀请会谈。该活动还包括通过公开呼吁进行演讲和拥抱组织团队选择的贡献演讲。该活动还包含来自HDF5组的教程和演示文稿和专家HDF5开发人员,涉及各种HDF5库组件的调整和优化策略以及指南故障排除指南。拥抱会议是由HDF5和数据管理技术领域的领先专家组成的。该项目将资助学生参加会议,与HDF5研究和用户社区互动。 NSF提供的资金将对增加学生准备进入国家实验室,HPC中心,云公司和Academia.hdf5(层次数据格式版本5版本)的劳动力的准备金将产生重大影响。由于其数据模型的多功能性及其可移植性,寿命和效率,因此数十万个科学应用使用HDF5作为其数据管理解决方案的一部分。拥抱2023会议组织者正在招募希望参加各种机构的学生。为了增加代表性不足的计算机科学社区的参与,活动组织者将与俄亥俄州LSAMP联盟等社区互动。潜在参与者将不得不申请,并由科学功绩委员会评估提交的意见,以促进多样性。参加活动将从参加活动中获得一些好处,包括:(1)接触最新的数据管理,分析和I/O技术(计算平台,加速器和网络),它们的功能以及它们对设计HPC,云和边缘计算软件环境的影响; (2)深入暴露于设计,开发和维护HPC系统和云环境的开源软件环境中所面临的挑战和技术; (3)暴露于软件开发的可持续性方面; (4)有关数据管理和存储软件堆栈的系统调整和优化的培训。 (5)与与数据管理相关的国家实验室和行业专业人员的互动。该项目将促进科学的进步,因为它提供了一个论坛来传播研究工作,联系研究人员并培训下一代不同的劳动力。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。

项目成果

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专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Surendra Byna其他文献

Surendra Byna的其他文献

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{{ truncateString('Surendra Byna', 18)}}的其他基金

Collaborative Research: PPoSS: Large: A Full-stack Approach to Declarative Analytics at Scale
协作研究:PPoSS:大型:大规模声明性分析的全栈方法
  • 批准号:
    2316158
  • 财政年份:
    2023
  • 资助金额:
    $ 1万
  • 项目类别:
    Continuing Grant

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