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: 2017309
• 负责人: Michael Rogers
• 金额: $ 6.42万
• 依托单位: Tennessee Technological University
• 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=2017309&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.

这个协作项目代表了将计算机科学和工程教育转向确保学生可以使用21世纪平台的多方面努力，这些平台遍布平行和分布式计算（PDC）。 20世纪的计算机主要是围绕单个处理器设计的，执行了一系列操作。但是，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的转变以及物联网，所有这些都取决于在解决问题和编程中的PDC方法。财务，技术，科学，工程和医疗公司，政府实验室，国防部，情报界以及许多其他部门都在拼命寻找可以利用PDC系统的员工，因为现有的劳动力在旧模型中大量浸透。然而，由于学术界的重要惯性，大多数学生继续学习旧方法。为了将潮流融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，准备教师并培养一个强大的PDC教育社区。因此，正如NSF的使命所指出的那样，它将从战略上符合国家利益：促进科学的进步；促进民族健康，繁荣和福利；并确保国防。这将是使新兴劳动力现代化的重要一步，即使美国在所有这些领域保持领导地位所需的计算技能。并行和分发计算机课程开发和教育资源（CDER）正在为2020年的2020年更新其2013年课程指南的2020年更新，以将平行计算和分配计算（PDC）提出早期的课程。该项目将参与四个活动领域，以促进课程的采用，并将其扩展，以现代化计算机科学和工程劳动力发展。一个主要的推力是为教师开展夏季培训研讨会，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，并且必须鼓励各种精心设计的实验来测试和评估广泛的教学假设。研讨会的参与者将从各种各样的教育工作者中汲取灵感，并为支持实验课程提供和评估提供课程发展赠款，从而导致会议或期刊出版物，以及示例对CDER在线课程材料库的贡献。第二次努力是帮助Abet/CSAB提出核心PDC要求并为/训练Abet/CSAB评估人员提供信息（CSAB是ABET中的主要社会，以获得计算机科学中的学位课程的认证）。第三次努力是扩大课程指南，以明确地解决计算机工程计划的PDC，这些计划呈现出新的课程机会。最后，它将继续CDR在组织PDC教育研讨会上的成功，结合主要会议，发布PDC教育书籍和期刊特殊问题，维持和策划PDC教育资源的在线存储库，并为公开可用的PDC教育系统提供免费的访问权限，以反映NSF的Inforthory Merter。审查标准。

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

Integrating Parallel and Distributed Computing in Early CS Courses

在早期计算机科学课程中集成并行和分布式计算

• DOI: 10.1145/3478432.3499155
• 发表时间: 2022
• 期刊: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
• 作者: Ghafoor, Sheikh;Prasad, Sushil;Weems, Charles
• 通讯作者: Weems, Charles

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

Producing competent HPC graduates

培养有能力的 HPC 毕业生

• DOI: 10.1145/3538878
• 发表时间: 2022
• 期刊: Communications of the ACM
• 影响因子: 22.7
• 作者: Chen, Juan;Ghafoor, Sheikh;Impagliazzo, John
• 通讯作者: Impagliazzo, John