COVID时代的PDC教学:远程学习的动手材料

Joel C. Adams, Richard A. Brown, Suzanne J. Matthews, E. Shoop
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引用次数: 1

摘要

为了应对计算硬件基础的转变,并行和分布式计算(PDC)现在是核心计算机科学课程的关键部分。对于计算机科学教育工作者来说,COVID-19大流行及其导致的远程学习的转变为帮助学习者理解抽象的PDC概念并为他们提供动手实践技能的任务带来了新的挑战。本文提出了几种用于远程教学PDC的新教材,包括:(i)使用Runestone Interactive“虚拟”讲义来学习如何在树莓派上运行OpenMP多线程程序,以及(ii)使用Google Colab和Jupyter笔记本在远程系统上运行mpi4py实例,从而了解MPI分布式多处理。作者在为期多日的PDC教学教师发展研讨会上试用了这些策略。评估数据表明,这些材料极大地促进了PDC的专业发展和教学准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching PDC in the Time of COVID: Hands-on Materials for Remote Learning
In response to shifts in the hardware foundations of computing, parallel and distributed computing (PDC) is now a key piece of the core CS curriculum. For CS educators, the COVID-19 pandemic and the resulting switch to remote-learning add new challenges to the tasks of helping learners understand abstract PDC concepts and equipping them with hands-on practical skills. This paper presents several novel teaching materials for teaching PDC remotely, including: (i) using a Runestone Interactive "virtual" handout to learn how to run OpenMP multithreaded programs on a Raspberry Pi, and (ii) using Google Colab and Jupyter notebooks to run mpi4py instances on remote systems and thus learn about MPI distributed multiprocessing. The authors piloted these strategies during a multi-day faculty development workshop on teaching PDC. Assessment data indicates that the materials greatly aided professional development and preparedness to teach PDC.
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