课题基金 / 基金详情

Collaborative Research:CyberTraining:Implementation:Medium: Broadening Adoption of Parallel and Distributed Computing in Undergraduate Computer Science and Engineering Curricula

Collaborative Research:CyberTraining:Implementation:Medium: Broadening Adoption of Parallel and Distributed Computing in Undergraduate Computer Science and Engineering Curricula
合作研究: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:
2017590
负责人:
Sushil Prasad
金额:
$70.18万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-15 至 2024-09-30

项目摘要

项目成果

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中文摘要
翻译
这个合作项目代表了一个多方面的努力,转向计算机科学和工程教育,以确保学生可以使用21世纪的平台,普遍纳入并行和分布式计算(PDC)。20世纪世纪的计算机大多是围绕单个处理器设计的,执行一系列操作。但这个世纪的特点是多核、图形和AI张量处理器的广泛部署,以及向云服务器和物联网的转变,所有这些都依赖于不同的PDC解决问题和编程的方法。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沉浸在旧模式中。然而,由于学术界的惰性,大多数学生继续学习旧的方法。为了扭转将PDC注入计算机科学和工程教育早期阶段的趋势,该项目将指导课程和认证标准,准备教师,并培养强大的PDC教育社区。因此,它将在战略上服务于国家利益,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新兴劳动力的重要一步,拥有美国在所有这些领域保持领导地位所需的计算技能。并行和分布式计算课程开发和教育资源中心(CDER)正在准备2020年更新他们的2013年课程指南,将并行和分布式计算(PDC)引入早期本科课程。该项目将在四个领域开展活动,以促进课程的采用,并扩展课程,目标是实现计算机科学和工程劳动力发展的现代化。一个主要目标是为教师举办夏季培训讲习班,学习PDC概念和实验课程评估方法。该学科仍处于发现阶段,就PDC教育方法,必须鼓励一套多样化的精心设计的实验,以测试和评估广泛的教学假设。研讨会的参与者将来自不同的教育工作者,并给予课程开发赠款,以支持实验课程的提供和评估,导致会议或期刊出版物,以及对CDER在线课程材料库的范例贡献。第二项工作是帮助ABET/CSAB制定核心PDC要求,并通知/培训ABET/CSAB评估人员(CSAB是ABET内计算机科学学位课程认证的主要协会)。第三个努力是扩大课程指导方针,明确解决增加PDC计算机工程项目,这提出了新的课程机会。最后,它将继续CDER在组织PDC教育研讨会与主要会议,出版PDC教育书籍和期刊特刊,维护和策划PDC教育资源的在线存储库,该奖项反映了NSF的法定使命,并通过使用基金会的知识产权进行评估,被认为值得支持。优点和更广泛的影响审查标准。
英文摘要
This collaborative project represents a multi-faceted effort to shift computer science and engineering education toward ensuring that students can use 21st century platforms that pervasively incorporate parallel and distributed computing (PDC). Twentieth century computers were mostly designed around a single processor, executing a sequence of operations. But this century is characterized by widespread deployment of multi-core, graphics, and AI tensor processors, as well as a shift to cloud servers, and the internet of things, all of which depend on the much different PDC approach to problem solving and programming. Financial, technical, scientific, engineering and medical companies, government labs, 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 old model. Yet most students continue to learn the old approach due to significant inertia in academia. To turn the tide toward infusing PDC into the early stages of computer science and engineering education, this project will guide curricula and accreditation standards, prepare teachers, and foster a strong PDC education community. It will thus 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) is preparing the 2020 update of their 2013 curriculum guidelines for introducing parallel and distributed computing (PDC) into early undergraduate courses. This project will engage in four areas of activity to foster adoption of the curriculum, and extend it, with the goal of modernizing computer science and engineering workforce development.One major thrust is running summer training workshops for teachers, to learn both PDC concepts and experimental course evaluation methodology. The discipline is still in a phase of discovery with respect to PDC education approaches, and must encourage a diverse set of well-designed experiments to test and evaluate a broad range of pedagogical hypotheses. The workshop participants will be drawn from a diverse pool of educators, and given curriculum development grants in support of experimental course offerings and evaluation, leading to conference or journal publications, as well as contributions of exemplars to the CDER online course materials repository. A second effort is to help ABET/CSAB to formulate core PDC requirements and to inform/train ABET/CSAB evaluators (CSAB is the lead society within ABET for accreditation of degree programs in computer science). A third effort is expanding the curriculum guidelines to explicitly address adding PDC to computer engineering programs, which present novel curricular opportunities. Lastly, it will continue CDER's successes in organizing PDC education workshops in conjunction with major conferences, publishing PDC education books and journal special issues, maintaining and curating an online repository of PDC education resources, and providing free access to a publicly available PDC education cluster system.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Integrating Parallel and Distributed Computing in Early Computing Classes
在早期计算课程中集成并行和分布式计算
DOI: 10.1145/3545947.3569623
发表时间: 2022
期刊: ACM
影响因子: --
作者: [Ghafoor, Sheikh, Weems, Charles, Sussman, Alan, Vaidyanathan, Ramachandran, Prasad, Sushil]
通讯作者: Prasad, Sushil
4 th Workshop on Education for High Performance Computing
第四届高性能计算教育研讨会
DOI: 10.1109/hipcw57629.2022.00016
发表时间: 2022
期刊: IEEE
影响因子: --
作者: [Prasad, Sushil K., Ghafoor, Sheikh, Kuvelkar, Ashish, Malakar, Preeti]
通讯作者: Malakar, Preeti
Message from the EduPar-23 Workshop Chairs and Workshop Organization
EduPar-23 研讨会主席和研讨会组织致辞
DOI: 10.1109/ipdpsw59300.2023.00048
发表时间: 2023
期刊: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW
影响因子: --
作者: [Bogaerts, Steven, Prasad, Sushil K]
通讯作者: Prasad, Sushil K
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing
NSF/IEEE-TCPP 本科生并行和分布式计算课程 - 第二版 - 大数据、能源和分布式计算
DOI: 10.1145/3545947.3569594
发表时间: 2022
期刊: ACM
影响因子: --
作者: [Prasad, Sushil, Weems, Charles, Sussman, Alan, Gupta, Anshul, Estrada, Trilce, Vaidyanathan, Ramachandran, Ghafoor, Sheikh, Kant, Krishna, Stunkel, Craig]
通讯作者: Stunkel, Craig
Collaborative Research: OAC: Approximate Nearest Neighbor Similarity Search for Large Polygonal and Trajectory Datasets
  • 批准号:
    2313039
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.5万
  • 财政年份:
    2023
  • 负责人:
    Sushil Prasad
  • 依托单位:
Collaborative Research: CyberTraining:Implementation:Medium: Modern Course Exemplars infused with Parallel and Distributed Computing for the Introductory Computing Course Sequence
  • 批准号:
    2321015
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.38万
  • 财政年份:
    2023
  • 负责人:
    Sushil Prasad
  • 依托单位:
Collaborative Research: CyberTraining: Conceptualization: Planning a Sustainable Ecosystem for Incorporating Parallel and Distributed Computing into Undergraduate Education
  • 批准号:
    2002649
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.39万
  • 财政年份:
    2019
  • 负责人:
    Sushil Prasad
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)