[IPDPS] Deadline Extension - EduPar-24: 14th NSF/TCPP Workshop on Parallel and Distributed Computing Education

[Sushil K. Prasad]

Dear Colleagues,

New year greetings! We are extending the submission deadline to
January 28th, 2024.

Also note a new submission track for a short paper on "Research to
Education" theme for IPDPS researchers.

Best regards,

Sushil

-------------------
EduPar-24: 14th NSF/TCPP Workshop on Parallel and Distributed Computing
EducationIn conjunction with the 38th IEEE International Parallel &
Distributed Processing Symposium (IPDPS),San Francisco, CA, USAMay 27, 2024

https://tcpp.cs.gsu.edu/curriculum/?q=edupar24
Submission deadline: January 14, 2024 January 28, 2024Submission site:
https://ssl.linklings.net/conferences/ipdps/(New Track on “Research to
Education” for IPDPS researchers)

Parallel and Distributed Computing (PDC) permeates most computing
activities - the "explicit" ones, in which a person works directly on
programming a computing device, and the "implicit" ones, in which a person
uses everyday tools that incorporate PDC below the user's view. The
penetration of PDC into the daily lives of both "explicit" and "implicit"
users makes it imperative that users can depend on this technology's
effectiveness, efficiency, and reliability. The pervasiveness of PDC is
evident in today's general-purpose computing devices, such as PCs, laptops,
and handheld devices that contain multiple cores and graphics processing
units (GPUs). It is also seen in the increasing reliance on web and cloud
services and the growing need for parallel and distributed solutions to
data-intensive problems associated with Big Data from various disciplines.
The growing ubiquity of parallel and distributed computing and the
increasing reliance on parallel and distributed technology make PDC topics
an essential and core part of computing curricula. The rapid advancements
in computing hardware platforms, programming languages, and applications in
parallel and distributed computing (PDC) present ongoing challenges in
determining what to include in the educational curriculum and how to
integrate PDC seamlessly into existing and new courses. This is vital in
preparing students for careers that are increasingly expected to involve
PDC.

The EduPar workshop is designed in coordination with the NSF/TCPP
curriculum initiative on Parallel and Distributed Computing (
http://tcpp.cs.gsu.edu/curriculum) and the Center for Parallel and
Distributed Curriculum Development and Educational Resources (CDER). Held
with IPDPS (www.ipdps.org), EduPar brings together individuals from
academia, industry, and other educational and research institutes to
explore new ideas, challenges, and experiences related to PDC pedagogy,
curricula, and workforce development.

EduPar invites unpublished manuscripts from individuals or teams from
academia, industry, and other educational and research institutes from all
over the world on topics about 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. EduPar invites
researchers, scholars, and practitioners to submit their work for
consideration in either of the following two paper tracks or for posters or
peachy assignments sessions.

Topics of interest include (but are not limited to) the following areas:

   - Exploration of emerging Parallel and Distributed Computing (PDC), Big
   Data, Data Science, and Energy topics to contribute valuable insights to
   TCPP and associated educational initiatives
   - Development and models for integrating PDC topics into fundamental
   computing curricula, focusing on curriculum design
   - Examination of pedagogical challenges associated with incorporating
   PDC topics into computing courses
   - Sharing experiences integrating PDC topics into core computing
   courses, new curricula/courses, or other practical applications
   - Evaluation and discussion of pedagogical tools, programming
   environments, infrastructures, languages, and projects designed for PDC
   - Innovative approaches to teaching PDC topics, including informal
   learning environments
   - Employers' perspectives and expectations regarding PDC proficiency in
   new graduates and training curricula for their employees
   - Educational resources based on higher-level programming languages and
   directives like Chapel, Haskell, Python, Cilk, CUDA, OpenCL,
   OpenMP/OpenACC, Pthread, Hadoop, and Spark
   - Exploration of educational resources and techniques for online
   pedagogy, e-learning, e-laboratory, Massive Open Online Courses (MOOC), and
   Small Private Online Courses (SPOC)
   - PDC experiences at non-university levels, including secondary schools,
   postgraduate education, industry, and the diffusion of PDC knowledge
   - Parallel and distributed models of programming/computation suitable
   for teaching, learning, and workforce development

Track 1 - Educational Research: For this track, we welcome researchers
unpublished 6-8 page manuscripts from individuals or teams from academia,
industry, and other educational and research institutes from all over the
world on topics about 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. This track
emphasizes conducting pedagogical research related to PDC education and
evaluating it within classroom or other settings.

Track 2 - Research to Education (New): For this particular track, we
welcome IPDPS researchers to submit 3-4 page manuscripts discussing their
innovative experiences in integrating their research, as well as associated
methods, tools, models, simulations, or datasets, into educational
settings, with a focus on undergraduate or K-12 levels, or fostering
broader community engagement. Submissions do not need to include an
assessment of teaching techniques or in-class evaluations. Early career
faculty, including those applying for or already having CAREER awards from
NSF or other agencies, are especially encouraged to submit.

SUBMISSION GUIDELINES: We are accepting submissions for Track 1 Full Papers
(6-8 pages), Track 2 Short Papers (3-4 pages), Posters (2-page abstracts),
and Peachy Parallel Assignments (2-page abstracts). Please see the details
below for each category of submission. All entries must be submitted via
the Linklings submission site (https://ssl.linklings.net/conferences/ipdps/).
Ensure that submissions adhere to the IEEE format (
https://www.ieee.org/conferences/publishing/templates.html), featuring
single-spaced, double-column pages with proper inclusion of figures,
tables, and references.

If accepted, regular and short papers will be published in the workshop
proceedings and included in the IEEE Xplore digital library, and authors
will present their work in a technical workshop session. Authors of
accepted Posters and Peachy Assignments will present their work during the
workshop poster sessions. Summary papers of all accepted posters and all
accepted Peachy Assignments will also be published in the workshop
proceedings. Proceedings of the workshops are distributed at the conference
and will be included in the IEEE Xplore Digital Library after the
conference. Summary papers will be written by the Poster and Peachy
Assignment chairs and will include, as co-authors, all Poster and Peachy
Assignment authors. In addition, all individual abstracts, posters, and
preprints of papers will be published on the EduPar-24 CDER website.

Papers: Authors are asked to submit 6-8 page papers in pdf format for Track
1 and 3-4 page papers in pdf format for Track 2. Submissions will be
reviewed based on the novelty of contributions, impact on the broader
undergraduate curriculum, particularly on the core curriculum, relevance to
the workshop's goals, and, for experience papers, the results of their
evaluation and the evaluation methodology.

Posters: High-quality poster presentations are an integral part of EduPar.
We seek posters (2-page abstracts) describing recent or ongoing research.

Peachy Parallel Assignments: Course assignments are integral to student
learning and also play an important role in student perceptions of the
field. EduPar will include a session showcasing "Peachy Parallel
Assignments" - high-quality assignments, previously tested in class, that
are readily adoptable by other educators teaching topics in parallel and
distributed computing. Assignments may be previously published, but the
author must have the right to publish a description of it and share all
supporting materials. We are seeking assignments that are:

   1. Tested - All submitted assignments should have been used successfully
   in a class.
   2. Adoptable - Preference will be given to widely applicable and
   easy-to-adopt assignments. Traits of such assignments include coverage of
   widely taught concepts, using common parallel languages and widely
   available hardware, having few prerequisites, and (with variations) being
   appropriate for different levels of students.
   3. Cool and inspirational - We want assignments that excite students and
   encourage them to spend time with the material. Ideally, they would be
   things that students want to show off to their roommates.

Assignments can cover any topics in Parallel and Distributed Computing.
Preference will be given to assignments aimed at students in the early
courses. Submissions (2-page abstracts) should describe the assignment and
its contextual usage and include a link to a web page containing the
complete set of files given to students (assignment description, supporting
code, etc.). The document should cover the following items: What is the
main idea of the assignment? What concepts are covered? Who are its
targeted students? In what context have you used it? What prerequisite
material does it assume they have seen? What are its strengths and
weaknesses? Are there any variations that may be of interest?
IMPORTANT DATES

   - Papers, Posters, and Peachy Assignments due: January 14, 2024 January
   28, 2024
   - Author Notification: February 18, 2024
   - Camera-ready papers due: February 29, 2024
   - Final versions of Poster abstracts and Peachy Assignments due:
   February 22, 2024

Best Paper Award: All submitted papers will be peer-reviewed and considered
for the Best Paper Award.
COMMITTEESProgram Committee

   - Joel Adams (Calvin University)
   - Michael Bane (Manchester Metropolitan University)
   - Gregory Benson (University of San Francisco)
   - Neelima Bayyapu (Manipal Institute of Technology)
   - Massimo Canonico (University of Piemonte Orientale)
   - Debzani Deb (Winston-Salem State University)
   - Samantha S. Foley (University of Wisconsin-La Crosse)
   - Shanzhen Gao (Virginia State University)
   - Ana Gonzalez (University of Puerto Rico-Mayaguez)
   - D. Brian Larkins (Rhodes College)
   - Shubbhi Taneja (Worcester Polytechnic Institute)
   - Ming Li (University of Tulsa)
   - Suzanne J. Matthews (West Point)
   - Charlie Peck (Earlham College)
   - Upsorn Praphamontripong (University of Virginia)
   - Jawwad Shamsi (National University of Computer and Emerging Sciences)
   - Joel Sommers (Colgate University)
   - Alan Sussman (University of Maryland)
   - Jerry L. Trahan (Louisiana State University)
   - Denis Trystram (University of Grenoble Alpes)
   - Ramachandran Vaidyanathan (Louisiana State University)
   - Vladimir Voevodin (Moscow State University)
   - Charles Weems (University of Massachusetts)

Conference Committee

   - Workshop Chair: Sushil Prasad (University of Texas at San Antonio)
   - Program Chair: Mary Smith (Hawaii Pacific University)
   - Program Vice-Chair: Srishti Srivastava (University of Southern Indiana)
   - Poster Chair: Satish Puri (Missouri University of Science and
   Technology)
   - Peachy Assignments Chair: David Bunde (Knox College)
   - Proceedings Chair: Satish Puri (Missouri University of Science and
   Technology)
   - Past Program Chair: Steven Bogaerts (University of Michigan)
   - Webmaster: Buddhi Ashan Mallika Kankanamalage (University of Texas at
   San Antonio)

Contact

   - Questions about paper submissions: Mary Smith (mlsmith at hpu.edu)
   - Questions about Peachy Assignment submissions: David Bunde (
   dbunde at knox.edu)
   - Questions about poster submissions: Satish Puri (satish.puri at mst.edu)
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