Toward Parallel and Distributed Computing into Core Curriculum of CS/CE Undergraduates

将并行和分布式计算纳入 CS/CE 本科生核心课程

• 批准号: 1143533
• 负责人: Rajshekhar Sunderraman
• 金额: $ 9.99万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143533&HistoricalAwards=false
• 关键词: Toward; Parallel; Distributed; Computing; into

Parallel and Distributed Computing (PDC) now permeates most computing activities. The penetration of this technology in the daily lives has resulted in common users relying on its effectiveness and reliability. The mass marketing of multicores and general-purpose graphics processing units in home and office PCs and laptops has a potential for empowering even common users to become a technology contributor. Certainly, it is no longer sufficient for even basic programmers to acquire only the conventional programming skills. All this phenomena point to the need for imparting a broad-based skill set in parallel and distributed computing t various levels, impacting Computer Science (CS) and Computer Engineering (CE) programs and related computational disciplines. However, the rapid change in computing hardware platforms and devices, languages, and supporting programming environments, and the research advances, more than ever challenges the educators what to teach in any given semester. Students and their employer face similar challenges on what constitutes basic expertise. The proposed activity includes all stakeholder experts working together and periodically providing guidance on restructuring standard curriculum across various courses and modules related to parallel and distributed computing. Immediate benefit would be for CS/CE students and their instructors with periodic guidelines on what aspects to cover in what courses.The PI plans to revise the preliminary version of the curriculum, and to hold a second round of competition for Fall-11 for early adopter status, supported by NSF and Intel. It is planned to have early adopter status competitions for Spring-12 and for Fall-12. EduPar-12 workshop to be organized at IPDPS-12 in Shanghai in May 2012, with expanded scope.

并行和分布式计算（PDC）现在渗透到大多数计算活动。这项技术在日常生活中的渗透导致普通用户依赖其有效性和可靠性。家庭和办公室个人电脑和笔记本电脑中多核和通用图形处理单元的大规模营销有可能使普通用户成为技术贡献者。当然，即使是基本的程序员，仅仅掌握传统的编程技能也是不够的。所有这些现象都表明，需要在并行和分布式计算的各个层面上传授广泛的技能，影响计算机科学（CS）和计算机工程（CE）程序以及相关的计算学科。然而，计算硬件平台和设备，语言和支持编程环境的快速变化，以及研究的进展，比以往任何时候都更挑战教育工作者在任何给定的学期教什么。学生和他们的雇主在什么是基本专业知识方面面临着类似的挑战。拟议的活动包括所有利益攸关方专家共同努力，定期就调整与并行和分布式计算有关的各种课程和模块的标准课程提供指导。直接的好处是，CS/CE学生和他们的教师定期指导他们在哪些课程中涉及哪些方面。PI计划修改课程的初步版本，并在NSF和英特尔的支持下，在秋季11举行第二轮竞赛，以获得早期采用者的地位。它计划在春季12和秋季12举行早期采用者状态比赛。EduPar-12研讨会将于2012年5月在上海IPDPS-12期间举办，范围扩大。