[hpc-announce] Call for Posters and Participation: EduHiPC workshop @ HiPC'18, Bangalore, India

Sushil K. Prasad sushil.prasad at gmail.com
Mon Oct 15 15:28:21 CDT 2018

17, 2018Workshop Website:
https://grid.cs.gsu.edu/~tcpp/curriculum/?q=EDUHIPC-18In conjunction with
IEEE International Conference on High Performance Computing, Data, and


High Performance Computing (HPC) and, in general, Parallel and Distributed
Computing (PDC) 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 on parallel processing.
Therefore, 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 including data science. 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 inaugural workshop is intended to seed a workshop series on topics
pertaining to HPC and PDC education and training, and foster a community of
interested stakeholders – including future organizers – representing
academia, industry, and government laboratories, especially from India, its
vicinity, and Asia. The inaugural workshop will feature invited talks from
regional and international experts and poster presentations from the
education and research community, and future workshops will have open call
for papers. Attendees will benefit from discussions on the needs and
approaches for augmenting undergraduate and graduate education in Computer
Science and Engineering, Computational and Data 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, and
academia in the context of HiPC-18. The goal is for each to hear the
challenges faced by others, to learn about various approaches to addressing
these challenges, and to have opportunities to exchange ideas and
solutions. This workshop will also feature invited talks on opportunities
for collaboration, resource sharing, educator training, internships, and
other means of increasing cross-fertilization between industry, government,
and academia.

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 <http://grid.cs.gsu.edu/~tcpp/curriculum/?q=node/21183> (CDER).

Topics of interest for posters 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. Data Science and Big Data aspects of teaching HPC/PDC including early
   experience with data science degree programs.
   4. Evidence-based educational practices for teaching HPC/PDC topics that
   provides evidence about what works best under what circumstances.
   5. Experience with incorporating PDC and HPC topics into core CS/CE
   courses and in domain Computational Science and Engineering courses.
   6. Pedagogical tools, programming environments, infrastructures,
   languages, and projects for PDC and HPC.
   7. Employers’ experiences with and expectation of the level of PDC and
   HPC proficiency among new graduates.
   8. Education resources based on higher-level programming languages and
   environments such as X10, Chapel, Haskell, Python, Cilk, CUDA, OpenCL,
   OpenACC, Hadoop, and Spark.
   9. Parallel and distributed models of programming and computation
   suitable for teaching, learning, and workforce development.
   10. rojects or units that introduce students to concepts relevant to
   Internet of Things, networking, or other topics in mobile devices or sensor
   11. Issues and experiences addressing the gender gap in computing and
   broadening participation of underrepresented groups.
   12. “Peachy Parallel Assignments” – high-quality assignments,
   previously-tested in class, that are readily adoptable by other educators
   teaching topics in parallel and distributed computing (inspired by nifty
   assignments: *http://nifty.stanford.edu <http://nifty.stanford.edu/>*).


We are accepting submissions for posters (1-page pdf abstract). If
accepted, authors will be asked to submit their (a) 1-page camera-ready
paper, and (b) a poster to be presented and published on the workshop
website;  for peachy assignments, (c) assignment (the file actually given
to students) and any supporting materials (given code, etc.) to be archived
and maintained on CDER courseware repository  (

Submission Portal: *https://easychair.org/conferences/?conf=eduhipc18

Poster submission deadline: Friday November 9, 2018
Poster Author notification: Friday November 16, 2018
Poster Camera Ready: Friday November 30, 2018
Early conference registration deadline: November 21, 2018

Workshop: Monday, December 21, 2018

*Workshop Co-Chairs:*

Sushil K. Prasad, Georgia State University and National Science Foundation,

R. Govindarajan, Indian Institute of Science, India
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