[hpc-announce] CFP EduHPC 2020

[Trilce Estrada]

CALL FOR PAPERS: EduHPC 2020

8th Workshop on Education for High-Performance Computing (EduHPC-20), in
cooperation with TCHPC, held in conjunction with SC20: The International
Conference for High Performance Computing, Networking, Storage and Analysis.



We are pleased to invite you to submit unpublished manuscripts on topics
pertaining to the needs and approaches for augmenting undergraduate and
graduate education in Computer Science and Engineering, Computational
Science, and courses for both STEM and business disciplines with PDC and
HPC concepts. We are especially interested in novel pedagogical
tools/approaches, educational resources, infrastructures, and projects for
PDC, HPC, data science, and computational science education. We highly
encourage manuscripts that validate their innovative approaches through the
systematic collection and analysis of information to evaluate their
performance and impact.

SC Reproducibility Initiative: Considering SC’s focus on reproducibility,
we highly encourage authors to provide an artifact description appendix (up
to two pages) along with their manuscript, describing the details of their
software environments and computational experiments to the extent that an
independent person could replicate their results. More information on the
reproducibility initiative can be found here. In the context of the
educational research, the artifact description appendix may contain the
detailed description of the tools or techniques, classroom evaluation
settings, metrics, evaluation results etc.



SUBMISSION GUIDELINES:

We are accepting submissions for three categories: Full papers (8-10
pages), Lightning Talks (2-page abstract) and Peachy Parallel assignments
(2-page abstract). A summary paper of the accepted Peachy submissions and
another of the Lightning Talks will be written by the respective chairs and
will include, as co-authors, all authors of accepted Peachy and LT
submissions. The proceedings of the workshop will be published by IEEE
TCHPC and will be included in the IEEE Xplore digital library. Please see
the workshop’s site for additional details:
https://tcpp.cs.gsu.edu/curriculum/?q=eduhpc20


1.- Papers: Authors should submit 8-10 page papers in PDF format through
the Linklings submission site. Topics of interest include, but are not
limited to: Pedagogical issues in incorporating PDC and HPC in
undergraduate and graduate education, novel ways of teaching PDC and HPC
topics, Data Science and Big Data aspects of teaching HPC/PDC including
early experience with data science degree programs, evidence-based
educational practices for teaching HPC/PDC topics. Submissions should be
formatted as single-spaced, double-column pages (IEEE format), including
figures, tables, and references. All accepted papers will be published in
the IEEE TCHPC Proceedings and will be included in the IEEE Xplore digital
library.


2.- Lightning Talks: We are planning to have a lightning talk session to
encourage the presentation of ongoing research, new and innovative ideas,
or prospects for partnership and collaboration.  Additionally, Lightning
talks will be an appropriate track of submission for our large body of
early adopters to present their curriculum adoption experiences, findings
and recommendations. Documents should be limited to a 2-page PDF document (IEEE
format <https://www.ieee.org/conferences/publishing/templates.html>)
including the following elements: an abstract of 250 words, a description
of the challenges/ educational need that your submission is addressing, a
detailed description of the significance and novelty of the work, and
lessons learned or potential insights to be drawn from your talk. The
accepted talks will be further curated to create a summary paper authored
by the track chairs and the talk authors. The summary paper will be
published in the IEEE TCHPC Proceedings <https://tc.computer.org/tchpc/>and
will be included in the IEEE Xplore digital library.


3.- Peachy Parallel Assignments: We seek assignments that are 1) Tested -
All submitted assignments should have been used successfully in a class. 2)
Adoptable - Preference will be given to assignments that are widely
applicable and easy to adopt. 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 - Peachy assignments should be fun and inspiring for
students. They encourage students to spend time with the relevant concepts.
Ideal assignments are those that students want to demonstrate to their
roommate. Assignments can cover any topics in Parallel and Distributed
Computing. Submissions should describe the assignment and its context of
use, and include a link to a web page containing the complete set of files
actually 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?  Between the document and the online
materials, it should be clear what the instructor needs to do in order to
use the assignment.




IMPORTANT DATES:



Abstract Submission deadline (Required): August 10th

Paper Submission deadline: August 17th  August 24th

Paper Author notification: September 23rd

Paper Camera-ready paper deadline: October 4th



Lightning Talk submission deadline: September 1st

Lightning Talk Author notification: September 23rd

Lightning Talk Camera Ready: September 30th



Peachy Assignment submission deadline: September 1st

Peachy Assignment Author notification: September 23rd

Peachy Assignment Camera Ready: September 30th



CONTACT:



Workshop Chair: Sushil Prasad

Program Co-Chair: Trilce Estrada <trilce at unm.edu>

Program Co-Chair: Joel Adams <adams at calvin.edu>

Peachy Assignments Chair: David Bunde <dbunde at knox.edu>