Collaborative Research: CyberTraining: CDL: Preparing Instructors to Offer Experimental Courses in an Updated PDC Curriculum, and Broadening Participation
协作研究:网络培训:CDL:准备教师在更新的 PDC 课程中提供实验课程,并扩大参与范围
基本信息
- 批准号:1727395
- 负责人:
- 金额:$ 3.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This effort will develop a cadre of college faculty to pioneer a shift in the computer science curriculum to ensure students are educated in the use of 21st century platforms that pervasively incorporate parallel and distributed computing (PDC). Twentieth century computers were mostly built on the principle of a single processor, executing a sequence of operations. That model is tightly bound into curricula, even though the last decade has seen widespread deployment of multi-core processors, graphics processors, online servers, and the internet of things, all of which depend on the much different PDC mindset for problem solving and programming. Financial, technical, scientific, engineering and medical companies, government laboratories, the department of defense, the intelligence community, and many other sectors are desperately seeking employees who can exploit PDC systems, because the existing workforce was heavily steeped in the older sequential model. Even new graduates continue to learn the old approach because of the considerable inertia in the educational system. Thus, by turning the tide toward incorporation of PDC into the early stages of computer science education, through teaching the teachers, this project will strategically serve the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; and to secure the national defense. It will be a significant step toward modernizing the emerging workforce to have the computing skills needed for the United States to maintain leadership in all of these areas.The Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER) with the IEEE Computer Society Technical Committee on Parallel Processing, developed curriculum guidelines for parallel and distributed computing (PDC) that guided PDC aspects of the ACM Computer Science Curricula 2013. The guideline sought to shift courses in the first two years from the sequential model toward the PDC paradigm. In the modern world, students must see PDC as an aspect of computational problem solving from the very beginning. This project will update the curriculum guideline, with special foci on big data, energy, distributed computing, and exemplars. It will offer grants (encouraging participation by institutions serving underrepresented groups) for faculty to work on course development and attend a workshop where they will be trained in the use of PDC, and in experimental course design and evaluation. The workshops, offered each summer of the grant period, will also support attendance by industrial and government stakeholders to help build a network of relationships. Additional instructors will be offered travel support to attend the workshops, beyond the course development grants.
这一努力将培养一批大学教师,开创计算机科学课程的转变,以确保学生接受使用21世纪世纪平台的教育,这些平台普遍采用并行和分布式计算(PDC)。20世纪世纪的计算机大多是建立在单处理器的原理上,执行一系列操作。这种模式与课程紧密相关,尽管在过去的十年里,多核处理器、图形处理器、在线服务器和物联网得到了广泛的部署,所有这些都依赖于PDC解决问题和编程的不同思维方式。金融、技术、科学、工程和医疗公司、政府实验室、国防部、情报界和许多其他部门都在拼命寻找能够利用PDC系统的员工,因为现有的劳动力严重依赖于旧的顺序模型。由于教育制度的相当大的惰性,即使是新毕业的学生也继续学习旧的方法。因此,通过将PDC纳入计算机科学教育的早期阶段,通过教授教师,该项目将战略性地服务于国家利益,正如NSF的使命所述:促进科学进步;促进国家健康,繁荣和福利;并确保国防。这将是迈向现代化的重要一步,新兴的劳动力,拥有美国所需的计算技能,以保持在所有这些领域的领导地位。并行和分布式计算课程开发和教育资源中心(CDER)与IEEE计算机协会并行处理技术委员会,开发了并行和分布式计算(PDC)的课程指南,指导ACM计算机科学课程2013的PDC方面。该指南试图在头两年将课程从顺序模型转向PDC范式。在现代世界中,学生必须从一开始就将PDC视为计算问题解决的一个方面。该项目将更新课程指南,特别关注大数据,能源,分布式计算和范例。它将为教师提供赠款(鼓励为代表性不足的群体服务的机构参与),以从事课程开发工作,并参加一个讲习班,在那里他们将接受使用PDC的培训,以及实验课程设计和评估。这些研讨会在赠款期内每年夏天举办,还将支持工业和政府利益相关者参加,以帮助建立关系网络。除课程编制赠款外,还将为更多的教员提供参加讲习班的旅费支助。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
VSI: Edu*-2016 - Keeping up with technology: Teaching Parallel, Distributed and High-Performance Computing
VSI:Edu*-2016 - 跟上技术的步伐:教授并行、分布式和高性能计算
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:3.8
- 作者:Prasad, Sushil K.;Ghafoor, Sheikh;Kaklamanis, Christos;Vaidyanathan, Ramachandran
- 通讯作者:Vaidyanathan, Ramachandran
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Ramachandran Vaidyanathan其他文献
O(log N)-Time Complete Visibility for Asynchronous Robots with Lights
带灯异步机器人的 O(log N) 时间完全可见性
- DOI:
10.1109/ipdps.2017.51 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Gokarna Sharma;Ramachandran Vaidyanathan;J. Trahan;C. Busch;S. Rai - 通讯作者:
S. Rai
Constant-Time Complete Visibility for Asynchronous Robots with Lights
带灯异步机器人的恒定时间完整可见性
- DOI:
10.1007/978-3-319-69084-1_18 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Gokarna Sharma;Ramachandran Vaidyanathan;J. Trahan - 通讯作者:
J. Trahan
MU-decoders: A class of fast and efficient configurable decoders
MU-解码器:一类快速高效的可配置解码器
- DOI:
10.1109/ipdpsw.2010.5470731 - 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
M. Jordan;Ramachandran Vaidyanathan - 通讯作者:
Ramachandran Vaidyanathan
Optimal Parallel Lexicographic Sorting using a Fine-Grained Decomposition
使用细粒度分解的最佳并行词典排序
- DOI:
- 发表时间:
1991 - 期刊:
- 影响因子:0
- 作者:
Ramachandran Vaidyanathan;C. Hartmann;P. Varshney - 通讯作者:
P. Varshney
Optimal Parallel Solutions to the Neighbor Localization Problem and Integer Sorting: A Fine Grained Approach
邻居定位问题和整数排序的最优并行解决方案:细粒度方法
- DOI:
- 发表时间:
1990 - 期刊:
- 影响因子:0
- 作者:
Ramachandran Vaidyanathan;C. Hartmann;P. Varshney - 通讯作者:
P. Varshney
Ramachandran Vaidyanathan的其他文献
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{{ truncateString('Ramachandran Vaidyanathan', 18)}}的其他基金
Collaborative Research:CyberTraining:Implementation:Medium: Modern Course Exemplars infused with Parallel and Distributed Computing for the Introductory Computing Course Sequence
协作研究:网络培训:实施:中:为入门计算课程序列注入并行和分布式计算的现代课程范例
- 批准号:
2321018 - 财政年份:2023
- 资助金额:
$ 3.49万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Broadening Adoption of Parallel and Distributed Computing in Undergraduate Computer Science and Engineering Curricula
协作研究:网络培训:实施:中:在本科计算机科学与工程课程中扩大并行和分布式计算的采用
- 批准号:
2017233 - 财政年份:2020
- 资助金额:
$ 3.49万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Conceptualization: Planning a Sustainable Ecosystem for Incorporating Parallel and Distributed Computing into Undergraduate Education
合作研究:网络培训:概念化:规划可持续生态系统,将并行和分布式计算纳入本科教育
- 批准号:
1923810 - 财政年份:2019
- 资助金额:
$ 3.49万 - 项目类别:
Standard Grant
Workshop on using Digital Logic Instruction to Introduce Computing Concepts
使用数字逻辑指令介绍计算概念的研讨会
- 批准号:
1550985 - 财政年份:2015
- 资助金额:
$ 3.49万 - 项目类别:
Standard Grant
Reconfigurable Computing: Bridging the Gap
可重构计算:弥合差距
- 批准号:
0310916 - 财政年份:2003
- 资助金额:
$ 3.49万 - 项目类别:
Continuing Grant
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