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8th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-18)

                                                               In conjunction with 
                          32nd IEEE International Parallel & Distributed Processing Symposium,
                                               May 21 – May 25, 2018, Vancouver, British Columbia, CANADA

                                                                    

Advanced Technical Program and Camera-ready Papers and Posters 

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 most users dependent on parallel processing. The ever increasing use of web-based services and emerging applications, such as cloud computing and the Internet of Things, is weaving distributed computing into the fabric of modern society. This raises important questions in adapting education to prepare students for addressing the challenges of current and emerging computing technologies.

Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. Technological trends point to the need for imparting a broad-based skill set in PDC at various levels in the educational fabric woven into Computer Science (CS) and Computer Engineering (CE) programs, as well as in related computational disciplines. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances present immense challenges to educators in deciding what to include in the curriculum and what to teach in any given semester or course.
 
EduPar provides a global forum for exploring new ideas and experiences related to a seamless inclusion of PDC topics in a CS/CE and related curricula primarily at undergraduate levels, but also at K-12 and graduate levels, and in informal settings. To provide some historical perspective, since 2011, EduPar has been held successfully against the backdrop of the IPDPS, a major conference focusing on parallel and distributed computing. This effort is in coordination with the TCPP curriculum initiative (http://tcpp.cs.gsu.edu/curriculum) for CS/CE undergraduates supported by NSF and its NSF-supported Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER).
 
EduPar invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and research institutes from all over the world on topics pertaining to the teaching of PDC topics in the Computer Science and Computer Engineering curriculum as well as in domain-specific computational and data science and engineering curricula. The topics of interest are as follows:
 
• Emerging PDC topics to inform TCPP and related curricula
• Curriculum design and models for incorporating PDC topics in core curricula, including in CS1/CS2 courses and in Computer Science Principles and other courses at K-12 level
• Parallel and distributed models of programming/computation suitable for teaching, learning and workforce development
• Experience with incorporating PDC topics into core courses
• Experience with incorporating PDC topics in the context of other applications
• Pedagogical issues in incorporating PDC in undergraduate and graduate education, especially in core courses
• Novel ways of teaching PDC topics, including informal learning environments
• Pedagogical tools, programming environments, infrastructures, languages and projects for PDC
• Educational resources based on higher level programming languages such as PGAS, X10, Chapel, Haskell, Python and Cilk, and emerging environments such as CUDA, OpenCL, OpenACC, and Hadoop 
• e-Learning, e-Laboratory, Massive Open Online Courses (MOOC), Small Private Online Courses (SPOC)
• PDC experiences at non-university levels; secondary school, postgraduate, industry, diffusion of PDC
• Employers’ experiences with and expectation of the level of PDC proficiency among new graduates
 
 
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=edupar18.  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.  Authors will also be invited for a journal special issue, such as JPDC, as in the past workshops.
 
Best Paper Award: All submitted papers will be peer reviewed and considered for the Best Paper Award. 
 
Posters: There will be a subsequent announcement for posters  presentations. 
 
Travel support: 10-20 travel grants with NSF/Intel support will be available for early adoptors of TCPP curriculum.
 
 
 
Important dates:
 
  •    January 19, 2018: Abstract Submissions (encouraged)
  •    January 26 Feb 5, 2018: Full Paper Due
  •    March 2 March 10, 2018: Author notification
  •    March 15 March 22, 2018: Camera-ready paper due
 
The organizing committee for EduPar-18 includes:
 
  • Workshop Chair: Sushil Prasad (Georgia State University)
  • Program Chair: Martina Barnas (Indiana University)
  • Proceedings Chair: Satish Puri (Marquette University)
 
 
The program committee includes:
 
  • Joel Adams, Calvin College
  • Ioana Banicescu, Mississippi State University
  • Mark Boshart, Tennessee Tech University
  • Jeffrey Carver, University of Alabama
  • Chris Cox, NGA
  • Niloy Ganguly, Indian Institute of Technology Kharagpur
  • Victor Gergel, Nizhni Novgorod State University
  • Sheikh Ghafoor, Tennessee Technological University
  • Nasser Giacaman, The University of Auckland
  • Domingo Gimenez, University of Murcia
  • Anshul Gupta, IBM Research
  • Alexandru Iosup, VU Amsterdam
  • David Kaeli, Northeastern University
  • Kishore Kothapalli, International Institute of Information Technology, Hyderabad
  • Krishna Kant, Temple University
  • Andrew Lumsdaine, PNNL
  • Yanick Ngoko,  Qarnot Computing, France
  • Virginia Niculescu, Babes-Bolyai University
  • Peter Pacheco, University of San Francisco
  • Manish Parashar, Rutgers University
  • Cynthia Phillips, Sandia National Laboratories
  • Mike Rogers, Tennessee Tech University
  • Noemi Rodriguez, PUC-Rio
  • Arny Rosenberg, Northeastern University
  • 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
  • Alan Sussman, University of Maryland
  • Jerry Trahan, Louisiana State University
  • Ramachandran Vaidyanathan, Louisiana State University
  • Frédéric Vivien, INRIA
  • Charles Weems, University of Massachusetts
  • Michael Wrinn, Omics Data Automation
  • Michael Heroux, Sandia & St. John’s University
  • Scott Sellars, NSF
  • Karen Karavanic, Portland State University
  • Jeremy Iverson, College of Saint Benedict | Saint John’s University

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