[IPDPS] 7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-17) co-located with IPDPS 2017

[Sunita Chandrasekaran]

7th NSF/TCPP Workshop on Parallel and Distributed Computing
Education (EduPar-17)
In conjunction with
31st IEEE International Parallel & Distributed Processing Symposium,
May 29 ñ June 2, 2017, Buena Vista Palace Hotel, Orlando, Florida USA

*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The 7th EduPar workshop invites unpublished manuscripts from academia,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.    Employersí 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

Word Template

*IMPORTANT DATES:*
*    December 1, 2016: Submission site opens
*    January 06, 2017: Abstract Submission (encouraged)
*    January 13, 2017: Full paper due
*    February 20, 2017: Author notification
*    February 28: Camera-ready paper due

Keynote Speaker: Jack Dongarra, University of Tennessee
http://www.netlib.org/utk/people/JackDongarra/

*ORGANIZATION:*
*    Workshop Chair: Sushil Prasad (Georgia State University, NSF)
*    Program Chair: Sheikh Ghafoor (Tennessee Tech)
*    Proceedings Chair: Satish Puri (Marquette University)

*Program Committee (Tentative)*
*    Ramachandran Vaidyanathan, 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
*    Joel Adams, Calvin College
*    Alan Sussman, University of Maryland
*    Charles Weems, University of Massachusetts, Amherst
*    Arnold Rosenberg, Northeastern University
*    David Bunde, Knox College
*    Peter Pacheco, University of San Francisco
*    Manish Parashar, Rutgers University
*    Cynthia Phillips, Sandia National Laboratories
*    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
*    Mike Rogers, Tennessee Tech
*    Mark Boshart, Tennessee Tech
*    FrÈdÈric Vivien, INRIA
*    Michael Wrinn, Intel
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