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7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-17)
In conjunction with
31st IEEE International Parallel & Distributed Processing Symposium,
May 29-June 2, 2017, Orlanda, Florida, USA
31st IEEE International Parallel & Distributed Processing Symposium,
May 29-June 2, 2017, Orlanda, Florida, USA
CALL FOR PAPERS
Parallel and Distributed Computing (PDC) now permeates most computing activities. The pervasiveness of computing devices that contain multicore CPUs and GPUs is making even common users depend on parallel processing. The ever increasing use of web-based services and emerging applications, such as cloud computing, big data analytics, and the Internet of Things, is weaving high performance computing (HPC) and distributed computing into the fabric of modern society. Traditional sequential programming skills are no longer sufficient even for basic programmers. These changes in the computing landscape point to the need for providing a broad-based skill set in PDC technology at various levels in the educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines. However, the rapid changes in hardware platforms, devices, languages, and supporting programming environments continue to challenge educators in ascertaining appropriate content for curriculum and how to teach that content effectively.
The 7th EduPar workshop invites unpublished manuscripts from academia, industry, and research institutes on topics pertaining to the teaching of PDC/HPC topics. The emphasis of the 7th workshop continues to be on undergraduate education, although certain aspects of graduate education, if relevant to undergraduates, may be considered at the discretion of the program committee. The workshop especially seeks papers that report on experience with implementing aspects of the NSF/TCPP or ACM/IEEE CS2013 curriculum or other novel approaches to incorporating PDC topics into undergraduate core courses that are taken by the majority of students in a program. Methods, pedagogical approaches, tools, and techniques that have the potential for adoption across the broader community are of particular interest.
This effort is in coordination with the TCPP curriculum initiative (http://www.cs.gsu.edu/~tcpp/
The topics of interest include, but are not limited to:
- Pedagogical issues and novel ways of teaching PDC topics, including informal learning environments
- Models for incorporating PDC topics in core CS/CE and domain computational science and engineering curricula
- Experience with integrating PDC topics into core CS/CE and domain computational science and engineering courses and applying the learning experience in other contexts
- Pedagogical tools, programming environments, and languages for PDC
- Employers’ experiences with and expectation of the level of PDC proficiency among new graduates.
- Issues and experiences to address gender gap and broadening participation of underrepresented groups (both students and educators) in PDC.
- Teaching of HPC and Big Data Analytics across STEM disciplines
- Incorporating PDC/HPC topics in computing literacy and AP computer science course
SUBMISSION GUIDELINES: Authors are asked to submit 6-8 page papers in pdf format at the EasyChair submission site https://www.easychair.
Submissions will be reviewed based on the novelty of contributions, impact on broader undergraduate curriculum, particularly on core curriculum, relevance to the workshop, and, for experience papers, the results of their evaluation and the evaluation methodology.
Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.
IMPORTANT DATES:
- January 13, 2017: Abstract Submission (encouraged)
- January 20, 2017: Full paper due
- February 20, 2017: Author notification
- February 28: Camera-ready paper due
ORGANIZATION:
Workshop Chair: Sushil K. Prasad (Georgia State University)
Program Chair: Sheikh Ghafoor (Tennessee Tech)
Proceedings Chair: Satish Puri (Marquette University)
Keynote Speaker : Jack Dongarra, University of Tennessee
Program Committee (Tentative)
Ramchandran Vaidyanthan, Louisiana State University
Ioana Banicescu, Mississippi State University
Martina Barnas, Indiana University Bloomington
Jeffrey Carver, University of Alabama
Niloy Ganguly, Indian Institute of Technology Kharagpur
Victor Gergel, Nizhni Novgorod State University
Nasser Giacaman, The University of Auckland
Domingo Gimenez, University of Murcia
Anshul Gupta, IBM Research
David Kaeli, Northeastern University
Kishore Kothapalli, International Institute of Information Technology, Hyderabad
Krishna Kant, Temple University
Andrew Lumsdaine, Indiana University
Peter Pacheco, University of San Francisco
Manish Parashar, Rutgers University
Cynthia Phillips, Sandia National Laboratories
Sushil Prasad, Georgia State University
Noemi Rodriguez, PUC-Rio
Krishnendu Roy, Valdosta State University
Jawwad Shamsi, FAST National University of Computer and Emerging Sciences
Rudrapatna Shyamasundar, Indian Institute of Technology, Mumbai
Violet Syrotiuk, Arizona State University
Jerry Trahan, Louisiana State University
Frédéric Vivien, INRIA
Michael Wrinn, Intel
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