EAGER: Collaborative Research: Democratizing the Teaching of Parallel Computing Concepts
EAGER: Collaborative Research: Democratizing the Teaching of Parallel Computing Concepts
批准号:
1353786
负责人:
Wuchun Feng
金额:
$26.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2016-09-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
A study by the U.S. Council of Competitiveness reports that 97% of U.S. businesses rely on the innovative use of high-performance parallel computing (HPC) to maintain their competitive advantage in the global economy. Furthermore, the ubiquity of multi- and many-core processors in modern computing devices, ranging from the small (embedded devices and cell phones) to the medium (laptops and desktops) to the large (data centers and supercomputers), requires that computing educators properly prepare the next generation of computer scientists to reason about problem solving in a parallel way. Unfortunately, companies lament the dearth of a trained workforce that is familiar with parallel computing concepts, thus exacerbating the problem of the technological change and globalization that is potentially leaving the U.S. behind in the world economy. To address this shortcoming, this project extends and transforms the investigators' existing computer science (CS) curriculum to democratize the teaching of parallel computing concepts by leveraging Scratch, an educational programming language shown to be highly effective in teaching computing to children but lacking in explicit parallel programming constructs. Providing a rich visual environment, Scratch enables students to create sophisticated programs just by dragging predefined components into a visual editor. This project enhances Scratch with abstractions for explicit parallel processing with a prototype for evaluation and deployment to ensure broad applicability, facilitate adoption, and assure educational effectiveness. Enhancing Scratch with such parallel programming abstractions enriches the computer science curriculum, without imposing the cognitive overhead and overload typically associated with teaching parallel computing. This project engenders a unique cross-disciplinary collaboration between the fields of parallel computing, software engineering, and education.Broader Significance: This project aims at democratizing the teaching of parallel computing concepts, thus molding the minds of the next generation of computer scientists to effectively realize solutions that take advantage of explicit parallel processing. This educational intervention has the potential to bridge the technological gap that is leaving the U.S. behind in the world economy. The project directly impacts students from middle school to college and even professionals seeking re-training. Students involved in this research receive training in parallel computing, software engineering, and education. Outreach to underrepresented groups includes the continuation of the PIs's efforts in recruiting and retaining female and underrepresented minority students in research and education under the auspices of this project.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Workshop Series on Sustainable Computing
-
批准号:2125999
-
项目类别:Standard Grant
-
资助金额:$0.8万
-
财政年份:2021
-
负责人:Wuchun Feng
-
依托单位:
RAPID: Higher Accuracy and Availability of COVID-19 Testing and Monitoring via Post-CT Image Boosting and Analysis
-
批准号:2031215
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2020
-
负责人:Wuchun Feng
-
依托单位:
RAPID: A Computational Deep-Learning Approach for Fast, Accurate CT Testing and Monitoring of COVID-19
-
批准号:2027607
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2020
-
负责人:Wuchun Feng
-
依托单位:
Phase-I IUCRC Virginia Tech: Center for Space, High-performance, and Resilient Computing (SHREC)
-
批准号:1822080
-
项目类别:Continuing Grant
-
资助金额:$60.0万
-
财政年份:2018
-
负责人:Wuchun Feng
-
依托单位:
NSF XPS Workshop for Exploiting Parallelism and Scalability
-
批准号:1451021
-
项目类别:Standard Grant
-
资助金额:$8.48万
-
财政年份:2014
-
负责人:Wuchun Feng
-
依托单位:
BIGDATA: Mid-Scale: DA: Collaborative Research: Genomes Galore - Core Techniques, Libraries, and Domain Specific Languages for High-Throughput DNA Sequencing
-
批准号:1247693
-
项目类别:Standard Grant
-
资助金额:$35.0万
-
财政年份:2013
-
负责人:Wuchun Feng
-
依托单位:
XPS: SDA: Collaborative Research: A Scalable and Distributed System Framework for Compute-Intensive and Data-Parallel Applications
-
批准号:1337131
-
项目类别:Standard Grant
-
资助金额:$37.5万
-
财政年份:2013
-
负责人:Wuchun Feng
-
依托单位:
CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud
-
批准号:1048253
-
项目类别:Standard Grant
-
资助金额:$37.0万
-
财政年份:2011
-
负责人:Wuchun Feng
-
依托单位:
MRI-R2: Acquisition of a Heterogeneous Supercomputing Instrument for Transformative Interdisciplinary Research
-
批准号:0960081
-
项目类别:Standard Grant
-
资助金额:$199.25万
-
财政年份:2010
-
负责人:Wuchun Feng
-
依托单位:
CSR: Small: Collaborative Research: Hybrid Opportunistic Computing for Green Clouds
-
批准号:0916719
-
项目类别:Continuing Grant
-
资助金额:$15.02万
-
财政年份:2009
-
负责人:Wuchun Feng
-
依托单位:
海外基金