OnRamp to parallel and distributed computing

Samantha S. Foley, Joshua Hursey
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引用次数: 1

Abstract

Computer Science students must understand parallel and distributed computing (PDC) concepts to be effective computer scientists in the workforce, as reflected in the ACM Curriculum guidelines [1]. Communities of CS educators are creating educational modules, and making parallel compute environments (PCEs) available to educators who are integrating PDC concepts into their existing curriculum. Even with these resources there is a barrier to entry for students to use PCEs, namely the unfamiliar and complex system software ecosystem of modern PCEs. The OnRamp project lowers that barrier to entry for exploring PDC concepts on a variety of PCEs while also providing a path for students to learn how to be productive on the native PCE. OnRamp is designed to be a general purpose web portal for supporting the exploration of PDC concepts that harnesses the existing educational resources created by the CS education community. It coaches students through interactive modules that teach them about PDC concepts and PCEs while allowing them to launch parallel applications from day one. As students become more comfortable with running parallel applications on PCEs, OnRamp transforms into a reference guide as they graduate to using the native PCE.
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转向并行和分布式计算
计算机科学专业的学生必须理解并行和分布式计算(PDC)的概念,才能在工作中成为有效的计算机科学家,正如ACM课程指南[1]所反映的那样。计算机科学教育者社区正在创建教育模块,并为那些将PDC概念整合到现有课程中的教育者提供并行计算环境(pce)。即使有了这些资源,学生使用pce也有一个障碍,即现代pce的不熟悉和复杂的系统软件生态系统。OnRamp项目降低了在各种PCE上探索PDC概念的门槛,同时也为学生提供了学习如何在本地PCE上生产的途径。OnRamp旨在成为一个通用的门户网站,支持利用CS教育社区创建的现有教育资源探索PDC概念。它通过交互式模块来指导学生,教授他们PDC概念和pce,同时允许他们从第一天开始启动并行应用程序。随着学生们越来越习惯在PCE上运行并行应用程序,OnRamp就变成了一个参考指南,因为他们毕业后开始使用原生PCE。
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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