Teaching PDC in the Time of COVID: Hands-on Materials for Remote Learning
Teaching PDC in the Time of COVID: Hands-on Materials for Remote Learning
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DOI：
10.1109/ipdpsw52791.2021.00061
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Joel C. Adams;Richard A. Brown;Suzanne J. Matthews;E. Shoop
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文献类型：
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作者：
Joel C. Adams;Richard A. Brown;Suzanne J. Matthews;E. Shoop
为了应对计算硬件基础的变化，并行和分布式计算 (PDC) 现在已成为计算机科学核心课程的关键部分。对于计算机科学教育工作者来说，COVID-19 大流行以及由此导致的远程学习的转变，给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。本文介绍了几种用于远程教学 PDC 的新颖教材，包括：(i) 使用 Runestone Interactive“虚拟”讲义来学习如何在 Raspberry Pi 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。作者在为期多天的 PDC 教师发展研讨会上试用了这些策略。评估数据表明，这些材料极大地帮助了专业发展和 PDC 教学准备。
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.