In conjunction with
30th IEEE International Parallel & Distributed Processing Symposium,
May 23, 2016, Chicago Hyatt Regency, Chicago, Illinois, USA
CALL FOR PAPERS
Parallel and Distributed Computing (PDC) now permeates most computing activities. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting 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 computing hardware platforms and devices, languages, supporting programming environments, and research advances, more than ever challenge educators in knowing what to include in the curriculum and what to teach in any given semester or course.
The 6th workshop on Parallel and Distributed Computing Education invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and research institutes on topics pertaining to the teaching of PDC topics in the Computer Science and Engineering curricuum as well as in domain-specific Computational Sciences and Engineering curriculums and with PDC and high performance computing (HPC) concepts. The emphasis of the 6th 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/curriculum) for CS/CE undergraduates supported by NSF and its NSF-supported Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER).
The topics of interest include, but are not limited to:
1. Pedagogical issues in PDC
2. Novel ways of teaching PDC topics, including informal learning environments
3. Models for incorporating PDC topics in core CS/CE curriculum
4. Experience with incorporating PDC topics into core CS/CE courses
5. Experience with incorporating PDC topics in the context of other applications learning
6. Pedagogical tools, programming environments, and languages for PDC and HPC
SUBMISSION GUIDELINES: Authors are asked to submit 6-8 page papers in pdf format at the EasyChair submission site https://www.easychair.org/conferences/?conf=edupar16. Submissions should be formatted as single-spaced double-column pages using 10-point font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details.
Submissions will be reviewed based on the novelty of contributions, impact on broader undergraduate curriculum, particularly on core curriculum, relevance to the goals of 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.
January 8, 2016: Abstract submission deadline (Optional) January 17, 2016: Extended Paper submission deadline
February 20, 2016: Author notification
February 28, 2016: Camera-ready paper deadline
Sushil K. Prasad, Georgia State University
R. (Vaidy) Vaidyanathan, Louisiana State University
Satish Puri, Georgia 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
Sheikh Ghafoor, Tennessee Tech
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