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: University of Texas at San Antonio
• 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
• 起止时间: 2020-10-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2017590&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Medium

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.

这一合作项目代表了一项多方面的努力，旨在将计算机科学和工程教育转向确保学生能够使用广泛结合并行和分布式计算(PDC)的21世纪平台。20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。但本世纪的特点是多核、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，所有这些都依赖于截然不同的PDC方法来解决问题和编程。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，由于学术界的严重惰性，大多数学生继续学习旧的方法。为了将PDC注入计算机科学和工程教育的早期阶段，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，正如NSF的使命所述，它将从战略上服务于国家利益：促进科学进步；促进国家健康、繁荣和福利；以及确保国防安全。拥有美国在所有这些领域保持领导地位所需的计算技能，将是实现新兴劳动力现代化的重要一步。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年更新其2013年的课程指南，将并行和分布式计算(PDC)引入早期本科课程。该项目将开展四个领域的活动，以促进课程的采用和扩展，目标是实现计算机科学和工程劳动力发展的现代化。其中一个主要目标是为教师举办暑期培训讲习班，以学习PDC概念和实验课程评估方法。就PDC教育方法而言，该学科仍处于发现阶段，必须鼓励开展各种精心设计的实验，以测试和评估广泛的教学假设。讲习班的参与者将来自不同的教育工作者，并将获得课程开发补助金，以支持实验课程的提供和评估，导致会议或期刊出版物，并向CDER在线课程材料储存库提供范例。第二项努力是帮助ABET/CSAB制定核心的PDC要求，并通知/培训ABET/CSAB的评估者(CASB是ABET内计算机科学学位课程认证的牵头协会)。第三个努力是扩展课程指导方针，明确解决将PDC添加到计算机工程课程中，这提供了新的课程机会。最后，它将继续CDER在与主要会议一起组织PDC教育研讨会、出版PDC教育书籍和期刊特刊、维护和管理PDC教育资源的在线存储库以及提供免费访问公共可用PDC教育集群系统方面的成功。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

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
• 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
• 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
• 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
• 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