Building a Diverse and Inclusive HPC Community for Mission-Driven Team Science

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computing in Science & Engineering Pub Date : 2024-04-22 DOI:10.1109/mcse.2023.3348943

Lois Curfman McInnes, Paige Kinsley, Mary Ann Leung, Daniel Martin, Suzanne Parete-Koon, Sreeranjani Jini Ramprakash

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Abstract

The U.S. Department of Energy (DOE) has been a long-standing leader in driving advances in science and technology through advanced computing. However, DOE laboratories are currently facing urgent workforce challenges, particularly in terms of underrepresentation from key communities, including people of color, women, persons with disabilities, and first-generation scholars. This paper introduces the work carried out as part of the Exascale Computing Project (ECP) Broadening Participation Initiative, which aims to address workforce challenges through a lens that considers the distinct needs and culture of high-performance computing (HPC). The work focuses on three main efforts: hosting Intro to HPC Bootcamps, expanding the Sustainable Research Pathways (SRP) internship and workforce development program, and establishing an HPC Workforce Development and Retention Action Group. The paper also highlights various workforce efforts throughout the computational science community and explores opportunities for future work aimed at broadening participation in HPC.

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为任务驱动的团队科学建立一个多元化和包容性的高性能计算社区

美国能源部 (DOE) 长期以来一直是通过先进计算推动科技进步的领导者。然而，能源部实验室目前正面临着紧迫的劳动力挑战，特别是在关键群体的代表性不足方面，包括有色人种、女性、残疾人和第一代学者。本文介绍了作为 "超大规模计算项目（ECP）扩大参与计划 "一部分而开展的工作，该计划旨在通过考虑高性能计算（HPC）的独特需求和文化的视角来应对劳动力挑战。这项工作主要集中在三个方面：举办高性能计算入门训练营、扩大可持续研究途径（SRP）实习和劳动力发展计划，以及成立高性能计算劳动力发展和保留行动小组。本文还重点介绍了整个计算科学界的各种人才培养工作，并探讨了未来旨在扩大 HPC 参与度的工作机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computing in Science & Engineering 工程技术-计算机：跨学科应用

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.