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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



Technical Program


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The 7th EduPar workshop invites unpublished manuscripts from academia, industry, and research institutes on topics pertaining to the teaching of PDC/HPC topics.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 ( 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 and novel ways of teaching PDC topics, including informal learning environments
  2. Models for incorporating PDC topics in core CS/CE and domain computational science and engineering curricula
  3. Experience with integrating PDC topics into core CS/CE and domain computational science and engineering courses and applying the learning experience in other contexts
  4. Pedagogical tools, programming environments, and languages for PDC
  5. Employers’ experiences with and expectation of the level of PDC proficiency among new graduates.
  6. Issues and experiences to address gender gap and broadening participation of underrepresented groups (both students and educators) in PDC.
  7. Teaching of HPC and Big Data Analytics across STEM disciplines
  8. 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  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 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.

LaTex Package

Word Template


  • December 1, 2016: Submission site opens
  • January 25, 2017: Abstract Submission (encouraged)
  • January 30, 2017: Full paper due
  • February 28, 2017: Author notification
  • March 13: Camera-ready paper due 

Call for Poster

We invite a 2-page paper towards a poster by April 27, 2017 for 7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-17).

The topics for the poster are same as regular paper. Submit your write up at the EasyChair site The 2-page paper and poster of the accepted submissions will be published at the EduPar-17 website. A limited number of travel awards may also be available for the early adopters.

Submission Deadline : April 27, 2017

Notification : May 6, 2017

Contact email: Sheikh Ghafoor <>

Sheikh Ghafoor

Program Chair


     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  

BEST PAPER AWARD: NVIDIA Corporation has donated a Titan X Pascal GPU card to be presented to the author(s) of the Best Paper, as selected by the Program Committee.
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

     Srishti Srivastava, University of Southern Indiana, Evansville

     Jerry Trahan, Louisiana State University

     Frédéric Vivien, INRIA

     Michael Wrinn, Intel