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

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，会议将汇集不同的专家，讨论形成基于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在高性能计算和实验/观测数据管理和分析领域工作的研究生带来了大量机会，以获得一系列好处。拥抱会在性质上是独一无二的。该活动将包括一系列来自该领域专家的研究人员、用户和库开发人员的受邀演讲。活动还包括通过公开邀请提交并由拥抱组织团队选择的贡献演示文稿。该活动还包含HDF5小组和HDF5专家开发人员关于各种HDF5库组件的调整和优化策略以及故障排除指南的教程和演示文稿。这次拥抱会议是由HDF5和数据管理技术方面的专家领导小组组织的。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、HPC中心、云公司和学术界的工作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以及可移植性、寿命和效率，数十万科学应用程序使用HDF5作为其数据管理解决方案的一部分。Hug 2023会议的组织者正在从不同的机构中招募希望参加这一活动的学生。为了增加代表不足的社区对计算机科学的参与，活动组织者将与俄亥俄州LSAMP联盟等社区接触。未来的参与者必须申请，提交的材料由一个委员会评估科学价值和促进多样性。学生将从参加活动中获得几个好处，包括：(1)接触到最新的数据管理、分析和I/O技术(计算平台、加速器和网络)、它们的特点以及它们对设计HPC、云和边缘计算软件环境的影响；(2)深入了解为HPC系统和云环境设计、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)关于数据管理和存储软件堆栈的系统调整和优化的培训；以及(5)与国家实验室和与数据管理相关的行业专业人员的互动。该项目将促进科学进步，因为它提供了一个论坛，以传播研究成果，连接研究人员，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。

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.