Collaborative Research: Sustainability: A Community-Centered Approach for Supporting and Sustaining Parsl

合作研究：可持续性：以社区为中心的支持和维持 Parsl 的方法

• 批准号: 2209920
• 负责人: Daniel Katz
• 金额: $ 24万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2209920&HistoricalAwards=false
• 关键词: Collaborative; Research; Sustainability; Community; Centered

Modern research computing requires orchestration of complex computational workflows across diverse research computing infrastructure. To meet this requirement, Parsl, an open source software package, enables scientists and engineers to parallelize Python programs and run them scalably and efficiently on small to very large local and remote resources (e.g., laptops, clusters, clouds, and supercomputers), while also moving data as needed. Parsl effectively democratizes access to NSF's increasingly broad and powerful cyberinfrastructure resources by enabling researchers to work in the familiar and productive Python programming language and environment while also allowing them to easily scale and distribute their work to fully use today's cutting-edge cyberinfrastructure. Parsl is a key tool used by researchers to tackle some of the world's most significant challenges: from understanding the beginning of the universe to exploring an enormous molecular search space to identify viable therapeutics. This project is laying the foundation for the sustainability of this crucial tool, enabling new long-term science advances and thereby benefiting society. Participation in several education programs is exposing a diverse group of students to the increasingly important area of parallel and distributed computing. This project is transitioning Parsl to a community-governed and community-supported open source project, with future income to be managed by a nonprofit organization under the direction of an elected Parsl Coordination Committee. The project is delivering a sustainable Parsl community by a) targeted technical activities that reduce costs and barriers for contribution, reducing future maintenance costs; b) building the Parsl community via outreach, engagement, and education programs, increasing potential future contributors; and c) establishing pathways and incentives to convert users to contributors and contributors to leaders, growing the next generation of the community. The project takes a data-driven approach by measuring effort and funding across the project to reveal insights about where effort is spent, how it is supported, and how these factors can be balanced. The lessons learned in this project are being converted to a blueprint for similar projects.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.

现代研究计算需要在各种研究计算基础架构上编排复杂的计算工作流程。为了满足这一要求，PARSL是一个开源软件包，使科学家和工程师能够并行化Python程序，并在很小至非常大的本地和远程资源（例如，笔记本电脑，集群，云和超级计算机）上可稳定地运行它们，同时还可以根据需要移动数据。 PARSL通过使研究人员能够在熟悉和富有成效的Python编程语言和环境中工作，从而有效地使对NSF越来越广泛和强大的网络基础设施资源的访问权限，同时还允许他们轻松地扩展和分发工作以充分利用当今的尖端边缘网络结构。 PARSL是研究人员用来应对世界上一些最重要挑战的关键工具：从了解宇宙的开始到探索巨大的分子搜索空间，以识别可行的治疗剂。该项目为这种关键工具的可持续性奠定了基础，从而使新的长期科学进步并从而使社会受益。参加多个教育计划正在将一群学生群体展示到越来越重要的平行和分布计算领域。该项目正在将PARSL过渡到一个社区和社区支持的开源项目，并在当选的PARSL协调委员会的指导下由非营利组织的未来收入管理。该项目通过a）针对性的技术活动来提供可持续的PARSL社区，从而降低捐款成本和障碍，从而降低未来的维护成本； b）通过外展，参与和教育计划建立PARSL社区，增​​加潜在的未来贡献者； c）建立途径和激励措施，将用户转换为领导者的贡献者和贡献者，从而发展下一代社区。该项目通过测量整个项目的精力和资金来揭示有关花费在何处，如何支持以及如何平衡这些因素的洞察力，以进行数据驱动的方法。该项目中汲取的经验教训正在转换为类似项目的蓝图。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。

项目成果

Overcoming Challenges to Continuous Integration in HPC

克服 HPC 中持续集成的挑战

• DOI: 10.1109/mcse.2023.3263458
• 发表时间: 2022
• 期刊: Computing in Science & Engineering
• 影响因子: 2.1
• 作者: Gamblin, Todd;Katz, Daniel S.
• 通讯作者: Katz, Daniel S.