Monday, May 20, 2013
In conjunction with 27th IEEE International Parallel & Distributed Processing Symposium, Hyatt Regency Cambridge Boston, Massachusetts USA
|Advanced Technical Program||Join the Webinar|
|8-9 am||Democratizing Parallel Computing, Democratizing Education: Teaching a MOOC about GPU computing
David Luebke, Senior Director of Research, NVIDIA
|1-1:30 pm||Perspectives on Undergraduate Education in Parallel and Distributed Computing
Daniel Katz, Program Director, ACI/CISE, National Science Foundation
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The 3rd workshop on Parallel and Distributed Computing Education invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and research institutes on topics pertaining to the teaching of PDC topics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 (and related) curriculum. The emphasis of the third workshop continues to be on the undergraduate education. The workshop especially seeks papers that report on experience with implementing aspects of the NSF/TCPP 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 NSF/TCPP curriculum initiative for CS/CE undergraduates (http://www.cs.gsu.edu/~tcpp/curriculum/index.php) and its upcoming 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
3. Models for incorporating PDC topics in core CS/CE curriculum
4. Experience with incorporating PDC topics into core CS/CE courses
5. Pedagogical tools, programming environments, and languages for PDC
There will be two tracks in the workshop, a general track and an Early Adopter track. Instructors who have received an NSF/TCPP Early Adopter grant in the past for curriculum enhancement for inclusion of PDC topics are encouraged to submit in the second track.
SUBMISSION GUIDELINES: Authors are asked to submit 6-8 page papers in pdf format at EasyChair submission site at https://www.easychair.org/account/signin.cgi?conf=edupar13. The submissions should indicate whether they are for the general track or the Early Adopter track. Submissions should be formatted as single-spaced double-column pages using 10-pointsize 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.
All accepted papers will appear in IPDPS workshop proceedings.
January 21, 2013: Paper submission deadline
February 15, 2013: Author notification
February 28, 2013: Camera-ready paper deadline
Sushil K. Prasad, Georgia State University
Allen, Gabrielle, Louisiana State University
Banicescu, Ioana, Mississippi State University
Brown, Richard, St. Olaf College
Buck, Scott, Intel
Crowder, Grace, National Security Agency
Dehne, Frank, Carleton University
Dongarra, Jack, Innovative Computing Laboratory - University of Tennessee
Garland, Michael, NVIDIA
Gordon, Steven, Ohio Supercomputer Center
Gupta, Anshul, IBM Research
Kaeli, David, Northeastern University
Kant, Krishna, Intel Corporation
Kothapalli, Kishore, International Institute of Information Technology, Hyderabad
Lathrop, Scott, Shodor
Lumsdaine, Andrew, Indiana University
Pacheco, Peter, University of San Francisco
Padua, David, University of Illinois
Parashar, Manish, Rutgers University
Patt, Yale, The University of Texas at Austin
Phillips, Cynthia, Sandia National Laboratories
Prasad, Sushil, Georgia State University
Robert, Yves, ENS Lyon
Rosenberg, Arnold, Northeastern University
Sahni, Sartaj, University of Florida
Sussman, Alan, University of Maryland
Vivien, Frédéric, INRIA
Weems, Charles, University of Massachusettes
Wrinn, Michael, Intel
Wu, Jie, Temple University
Yang, Yuanyuan, Stony Brook University