Collaborative Research: CI-ADDO-NEW: Parallel and Distributed Computing Curriculum Development and Educational Resources

合作研究：CI-ADDO-NEW：并行和分布式计算课程开发和教育资源

• 批准号: 1205592
• 负责人: Alan Sussman
• 金额: $ 8.22万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1205592&HistoricalAwards=false
• 关键词: Collaborative; Research; CI; ADDO; NEW

Computing increasingly permeates daily lives, yet few appreciate the growing presence of Parallel and Distributed Computing (PDC) in common computing activities; e.g., modern laptops' processors contain multiple cores and special-purpose devices such as graphics processors (GPUs). With increasing availability of powerful PDC technology, familiarity with single-processor computers and sequential computing no longer constitutes computer literacy. Technological developments point to the need for a broad-based skill set in PDC at all levels of higher education in disciplines such as Computer Science, Computer Engineering, and the related computational disciplines. The rapid changes in technology challenge educators to decide what to teach and how to teach it. Students and employers face similar challenges in characterizing "basic" expertise in computing. The PIs are addressing these challenges via a project devoted to creating and sustaining curricular and educational infrastructure to facilitate the teaching of PDC topics in undergraduate computer-related curricula. The goal is for every graduating student to become skilled in PDC technology, hence be prepared to enter tomorrow's workforce.The project embodies multiple synergistic activities that develop: flexible PDC curricula for a spectrum of academic programs and institutions; mechanisms that help individuals maintain currency; instructional materials for PDC-related topics; experience-based guidelines for injecting PDC into curricula. A signature activity is competitions for early adopters of PDC curricula (winners receive seed funds, equipment donations from industry) and workshops and training sessions to foster awareness and adoption of PDC curricula. Feedback from early adopters and coordination with the ACM/IEEE 2013 CS Curriculum Taskforce steers future development of both the PDC curricular guidelines and of strategies for deploying PDC material within computing curricula at a larger scale.This project is supported by CISE, OCI, and EHR/DUE.

计算越来越渗透到日常生活中，但很少有人意识到并行和分布式计算（PDC）在常见计算活动中的日益增长的存在;例如，现代膝上型计算机的处理器包含多个核心和诸如图形处理器（GPU）的专用设备。 随着功能强大的PDC技术的日益普及，熟悉单处理器计算机和顺序计算不再构成计算机知识。 技术发展表明，在计算机科学，计算机工程和相关计算学科的高等教育的各个层次，需要一个基础广泛的技能集PDC。 技术的快速变化给教育者提出了挑战，决定教什么和如何教。学生和雇主在描述计算方面的“基本”专业知识方面面临着类似的挑战。 PI正在通过一个致力于创建和维持课程和教育基础设施的项目来应对这些挑战，以促进本科计算机相关课程中PDC主题的教学。 目标是让每一位毕业生都能熟练掌握PDC技术，从而为进入未来的劳动力市场做好准备。该项目包含多项协同活动，开发：针对一系列学术课程和机构的灵活PDC课程;帮助个人保持货币的机制; PDC相关主题的教学材料;将PDC注入课程的基于经验的指导方针。 一个标志性的活动是为早期采用PDC课程的人举办竞赛（获胜者获得种子基金，工业界捐赠的设备），并举办讲习班和培训班，以提高对PDC课程的认识和采用。 来自早期采用者的反馈以及与ACM/IEEE 2013 CS课程工作组的协调，引导了PDC课程指南和在更大规模的计算课程中部署PDC材料的战略的未来发展。该项目得到了CISE，OCI和EHR/DUE的支持。