[hpc-announce] Last call for papers- EduPar-17 @ IPDPS, Orlando - Deadline Jan 20

Fri Jan 13 15:47:41 CST 2017

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*

                                       Website:
http://grid.cs.gsu.edu/~tcpp/curriculum/?q=edupar17

*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The 7th EduPar workshop invites unpublished manuscripts from academia,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/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 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
https://www.easychair.org/conferences/?conf=edupar17.  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
<http://grid.cs.gsu.edu/~tcpp/curriculum/?q=system/files/IEEECS_CPS_LaTeX_Letter_2Col.zip>

Word Template
<http://grid.cs.gsu.edu/~tcpp/curriculum/?q=system/files/IEEECS_CPS_8.5x11x2.zip>

*IMPORTANT DATES:*

   - December 1, 2016: Submission site opens
   - 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
<http://www.netlib.org/utk/people/JackDongarra/>, 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*

*     Violet Syrotiuk, Arizona State University*

*     Jerry Trahan, Louisiana State University*

*     Frédéric Vivien, INRIA*

*     Michael Wrinn, Intel*
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