[hpc-announce] Extended Deadline Sept 2 - EduHPC-16 @ SC-16: Workshop on Education for High-Performance Computing

[Sushil K. Prasad]

EduHPC-16: Workshop on Education for High-Performance Computing

*Mon, Nov 14, 2016 *

*Time: 2:00 PM - 5:30 PM*

Workshop Website <http://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc16>

Held in conjunction with SC-16: The International Conference on High
Performance Computing, Networking, Storage, and Analysis

<http://www.sighpc.org/>

Nov 13-18, 2016

http://sc16.supercomputing.org



*CALL FOR PAPERS*

Parallel and Distributed Computing (PDC) along with High Performance
Computing(HPC)  has become pervasive, from supercomputers and server farms
containing multicore CPUs and GPUs, to individual PCs, laptops, and mobile
devices. Even casual users of computers now depend upon parallel
processing. Thus it is important for every computer user (*and especially
every programmer*) to understand how parallelism and distributed computing
affect problem solving. It is essential for educators to impart a range of
PDC and HPC knowledge and skills at multiple levels within the educational
fabric woven by Computer Science (CS), Computer Engineering (CE), and
related computational curricula. Companies and laboratories need people
with these skills, and, as a result, they are finding that they must now
engage in extensive on-the-job training. Nevertheless, rapid changes in
hardware platforms, languages, and programming environments increasingly
challenge educators to decide what to teach and how to teach it, in order
to prepare students for careers that are increasingly likely to involve PDC
and HPC.

This workshop invites unpublished manuscripts from academia, industry,
and government laboratories on topics pertaining to the needs and
approaches for augmenting undergraduate and graduate education in Computer
Science and Engineering, Computational Science, and computational courses
for both STEM and business disciplines with PDC and HPC concepts.

The workshop is particularly dedicated to bringing together stakeholders
from industry (both hardware vendors and employers), government labs,
funding agencies, and academia in the context of SC-16, so that each can
hear the challenges faced by others, can learn the various approaches to
addressing these challenges, and can have opportunities to exchange ideas
and solutions. In addition to contributed talks, this workshop will feature
invited talks on opportunities for collaboration, resource sharing,
educator training, internships, and other means of increasing
cross-fertilization between industry, government, and academia. Proposals
for panels and special sessions are also welcome.

*KEYNOTE:* The keynote address will be delivered by Dr. Janice E. Cuny of
the U.S. National Science Foundation.

*BEST PAPER AWARD:*  NVIDIA Corporation has donated a Tesla K40 to be
presented to the author(s) of the Best Paper, as selected by the Program
Committee.

Plans include securing arrangements with a journal for a special issue on
PDC/HPC Education to which authors of selected papers will be invited to
submit extended versions of their workshop papers.

This effort is in coordination with the NSF/TCPP curriculum initiative
on Parallel and Distributed Computing
<http://www.cs.gsu.edu/~tcpp/curriculum/?q=home> and the Center for
Parallel and Distributed Computing Curriculum Development and Educational
Resources (CDER).

Topics of interest include, but are not limited to:

1. Pedagogical issues in incorporating PDC and HPC in undergraduate and
graduate education, especially in core courses.

2. Novel ways of teaching PDC and HPC topics.

3. Experience with incorporating PDC and HPC topics into core CS/CE courses.

4. Pedagogical tools, programming environments, infrastructures, languages,
and projects for PDC and HPC.

5. Employers’ experiences with and expectation of the level of PDC and HPC
proficiency among new graduates.

6. 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.

7. Parallel and distributed models of programming/computation suitable for
teaching, learning and workforce development.

*SUBMISSION GUIDELINES:*

*Papers:* Authors should submit 6-8 page papers in pdf format through
the EasyChair submission site at
https://easychair.org/conferences/?conf=eduhpc16. Select its “Paper”
track.  Submissions should be formatted as single-spaced, double-column
pages (ACM format), including figures, tables, and references. See style
templates for details. Accepted papers will be published in the conference
workshop proceedings.

Author Instructions
<http://grid.cs.gsu.edu/~tcpp/curriculum/sites/default/files/Author_Instructions.pdf>

LaTex Package
<http://www.acm.org/sigs/publications/proceedings-templates#aL2>   Word
Template <http://www.acm.org/sigs/publications/pubform.doc>

*IMPORTANT DATES:*

September 2, 2016: Paper submission deadline *(extended)*

September 26, 2016: Author notification

October 10, 2016:  Camera-ready paper deadline

*ORGANIZATION:*

*Organizing Committee:*

Sushil Prasad, Georgia State University
Robert Geist, Clemson University
Anshul Gupta, IBM Research
Arnold Rosenberg, Northeastern University
Alan Sussman, University of Maryland
Charles Weems, University of Massachusetts

*Workshop Chair:* Sushil K. Prasad, Georgia State University

*Program Chair:* Robert Geist, Clemson University

*Proceedings Chair:* Satish Puri, Georgia State University

*Program Committee:*

Robert Geist (Progam Chair), Clemson University
Joel Adams, Calvin College
Martin Burtscher, Texas State University
Ioana Banicescu, Mississippi State University
Martina Barnas, Indiana University
Virendra Bhavsar, University of New Brunswick
David Bunde, Knox College
Florina Ciorba, University of Basel
Brian Dean, Clemson University
Debzani Deb, Winston-Salem State University
Victor Gergel,  Nizhni Novgorod State University
Nasser  Giacaman, University of Auckland
Domingo Gimenez , University of Murcia
Ganesh Gopalakrishnan, University of Utah
Ajay Gupta, University of Western Michigan
Anshul Gupta, IBM Research
Jason Hallstrom, Florida Atlantic University
David Juedes, Ohio University
David Kaeli, Northeastern University
Helen Karatza, Aristotle University of Thessaloniki
Karen Karavanic, Portland State University
Eileen Kraemer, Clemson University
Suzanne Matthews, United States Military Academy
Henry Neeman, University of Oklahoma
Peter Pacheco, University of San Francisco
Manish  Parashar, Rutgers University
Sathya Peri, IIT Hyderabad
Cynthia Phillips, Sandia National Laboratories
Satish Puri, Georgia State University
Thomas  Rauber, University Bayreuth
Arnold Rosenberg, Northeastern University
Gudula  Ruenger, Chemnitz University of Technology
Erik Saule, University of North Carolina at Charlotte
Jawwad  Shamsi, FAST National University of Computer and Emerging Sciences
Chi Shen, Kentucky State University
Suzanne Shontz, University of Kansas
Rudrapatna Shyamasundar, TIFR
Murali Sitaraman, Clemson University
Leonel Sousa, Universidade de Lisboa
Pradip Srimani, Clemson University
Srishti Srivastava, University of Southern Indiana
Nitin Sukhija, Mississippi State University
Alan Sussman, University of Maryland
Dominique Thiebaut, Smith College
Denis Trystram, Grenoble University
Susan Wang, Mills College
Charles Weems, University of Massachusetts, Amherst
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