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
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
中文摘要
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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.
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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
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
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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:
Collaborative Research: CyberTraining: Conceptualization: Planning a Sustainable Ecosystem for Incorporating Parallel and Distributed Computing into Undergraduate Education
-
批准号:1924272
-
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:
Early Adopters of Curriculum Initiative in Parallel and Distributed Computing at EduPar-12
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批准号:1238003
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项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2012
-
负责人:Sushil Prasad
-
依托单位:
A Curriculum Initiative on Parallel and Distributed Computing - Workshop on Parallel and Distributed Computing Education (EduPar-11) and Early Adopter Program
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批准号:1135124
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2011
-
负责人:Sushil Prasad
-
依托单位:
NSF/TCPP Student Travel Awards for IPDPS-2011
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批准号:1138281
-
项目类别:Standard Grant
-
资助金额:$2.0万
-
财政年份:2011
-
负责人:Sushil Prasad
-
依托单位:
CiC: EAGER: CCollaborative: GIS Vector Data Overlay Processing on Azure Platform
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批准号:1048200
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2010
-
负责人:Sushil Prasad
-
依托单位:
A Curriculum Initiative on Parallel and Distributed Computing - Toward Core Topics for Undergraduates
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批准号:1048711
-
项目类别:Standard Grant
-
资助金额:$6.0万
-
财政年份:2010
-
负责人:Sushil Prasad
-
依托单位:
Technical Committee on Parallel Processing (TCPP) Student Travel Awards
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批准号:1016907
-
项目类别:Standard Grant
-
资助金额:$4.99万
-
财政年份:2010
-
负责人:Sushil Prasad
-
依托单位:
TCPP PhD Forum and IPDPS-09 Student Travel Awards
-
批准号:0917894
-
项目类别:Standard Grant
-
资助金额:$3.08万
-
财政年份:2009
-
负责人:Sushil Prasad
-
依托单位:
A Planning Workshop on Curriculum Standards for Parallel and Distributed Computing
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批准号:0950432
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2009
-
负责人:Sushil Prasad
-
依托单位:
EAGER: Exploratory Frameworks for Distributed Algorithms for Optimization Problems on Networks of Heterogeneous Sensors
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批准号:0960780
-
项目类别:Standard Grant
-
资助金额:$11.22万
-
财政年份:2009
-
负责人:Sushil Prasad
-
依托单位:
Student Travel Support for TCPP PhD Forum and IPDPS-08
-
批准号:0829755
-
项目类别:Standard Grant
-
资助金额:$1.0万
-
财政年份:2008
-
负责人:Sushil Prasad
-
依托单位:
国内基金
海外基金
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