CyberTraining: Implementation: Small: COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure (COMPLECS)

网络培训：实施：小型：最终用户全面学习以有效利用网络基础设施 (COMPLECS)

• 批准号: 2320934
• 负责人: Robert Sinkovits
• 金额: $ 50万
• 依托单位: University of California-San Diego
• 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: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320934&HistoricalAwards=false
• 关键词: CyberTraining; Implementation; Small; COMPrehensive; Learning

Advanced cyberinfrastructure (CI), comprising resources with capabilities beyond those of desktop computing, plays an important role in nearly every scientific and engineering discipline. Most CI users no longer need to write their own software, relying instead on existing robust 3rd party applications. Unfortunately, much of the available training still emphasizes software development topics rather than the skills other than programming that are needed to effectively use advanced CI. COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure (COMPLECS) addresses this gap by creating a coherent training program spanning foundational knowledge to the practical skills that enable these CI users to make best use of these specialized resources. The training consists of three tiers (multi-day workshops, webinars and self-paced study), which gives participants a variety of options that best fit into their schedules. Since workshop participation is limited, preference is given to students and educators at minority serving and primarily undergraduate institutions (MSIs and PUIs), and researchers from domains that have not traditionally used advanced CI. Webinars and self-paced learning are available to all. COMPLECS helps to build a better trained workforce with skills that make them more effective researchers, while also leading to improved utilization of NSF-funded CI resources.COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure (COMPLECS) helps CI Users acquire the skills and knowledge they need to efficiently accomplish their compute and data intensive research. Training topics include parallel computing concepts, intermediate Linux and shell scripting, hardware essentials, batch computing, data management, best practices in securing data and research, interactive computing, getting help and how to work effectively with user support, code migration and installation, high throughput computing and Linux tools for file processing. Except for several foundational topics, the program is designed so that webinar and self-paced study participants can take the training in any order. Materials are available through GitHub repositories, Google drives and captioned recordings of webinars. The evaluation plan consists of both formative components that allows the program to be continuously improved and summative components to ensure that the program is meeting its goals. COMPLECS makes a concerted effort to recruit participants from underrepresented groups though coordination with ACCESS, Campus Champions and other organizations.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.

先进的网络基础设施(CI)包含的资源超过了桌面计算的能力，在几乎所有科学和工程学科中都扮演着重要的角色。大多数CI用户不再需要编写自己的软件，而是依赖于现有强大的第三方应用程序。不幸的是，许多可用的培训仍然强调软件开发主题，而不是有效使用高级CI所需的编程技能。最终用户有效利用网络基础设施的综合学习(COMPLECS)通过创建一个连贯的培训计划来弥补这一差距，该计划涵盖了基础知识和实践技能，使这些CI用户能够最大限度地利用这些专门资源。培训包括三个层次(多天研讨会、网络研讨会和自定进度的学习)，为参与者提供了最适合他们时间表的各种选择。由于参加研讨会的人数有限，因此优先考虑少数群体服务机构和主要是本科院校(MSI和PUI)的学生和教育工作者，以及来自传统上没有使用高级传播技术的领域的研究人员。所有人都可以参加网络研讨会和自定进度学习。COMPLECS帮助建立一支训练有素的劳动力队伍，使他们成为更有效的研究人员，同时还有助于提高NSF资助的CI资源的利用率。COMPLECS为最终用户提供有效利用网络基础设施的高级学习(COMPLECS)，帮助CI用户获得高效完成其计算和数据密集型研究所需的技能和知识。培训主题包括并行计算概念、中级Linux和外壳脚本编写、硬件基础、批处理计算、数据管理、保护数据和研究的最佳实践、交互计算、获取帮助以及如何有效地使用用户支持、代码迁移和安装、高吞吐量计算以及用于文件处理的Linux工具。除了几个基本主题外，该计划的设计使网络研讨会和自定进度的研究参与者可以按任何顺序接受培训。材料可以通过GitHub存储库、Google驱动器和网络研讨会的字幕录音获得。评估计划包括使计划不断改进的形成性部分和确保计划达到其目标的总结性部分。COMPLECS通过与Access、校园冠军和其他组织的协调，共同努力从代表性不足的群体中招募参与者。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。