6th Workshop on Education for High Performance Computing
(EduHiPC 2024)

31st IEEE International Conference on High Performance Computing, Data, & Analytics

Call for Submission

Dec 18, 2024
Bengaluru, India

In conjunction with the 31st IEEE International Conference on High-Performance Computing, Data, & Analytics (HiPC 2024)

High Performance Computing (HPC) and, in general, Parallel and Distributed Computing (PDC) is ubiquitous. Every computing device, from a smartphone to a supercomputer, relies on parallel processing.  Compute clusters of multicore and manycore processors (CPUs and GPUs) are routinely used in many subdomains of computer science (CS) such as computer vision, data science, parallel machine learning and high performance computing. Therefore, it is important for every programmer, software professional and CS researchers to understand how parallelism and distributed computing affect problem solving. It is essential for educators to impart a range of PDC and HPC skills and knowledge at multiple levels within the curriculum of Computer Science (CS), Computer Engineering (CE), and related disciplines such as computational data science. Software industry and research laboratories require people with these skills, more so now. Thus, they now engage in extensive on-the-job training. Additionally, rapid changes in hardware platforms, languages, and programming environments increasingly challenge educators to decide what to teach and how to teach, in order to prepare students for careers that involve PDC and HPC. EduHiPC aims to provide a forum that brings together academia, industry, government, and non-profit organizations – especially from India, its vicinity, and Asia – for exploring and exchanging experiences and ideas about the inclusion of high-performance, parallel, and distributed computing into undergraduate and graduate curriculum of Computer Science, Computer Engineering, Computational Science, Computational Engineering, and computational courses for STEM and business and other non-STEM disciplines.

The 6th EduHiPC (EduHiPC 2024) workshop invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and research institutes from all over the world on topics about the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.  EduHiPC 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. Additionally, we encourage manuscripts that validate their innovative approaches through the systematic collection and analysis of information to evaluate their performance and impact. The workshop is particularly dedicated to bringing together stakeholders from industry (hardware vendors, and research and development organizations), government labs, and academia in the context of HiPC 2024. The goal of the workshop is to hear the challenges faced by educators and professionals, to learn about various approaches to addressing these challenges, and to have opportunities to exchange ideas and solutions.

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. Issues and experiences addressing remote synchronous and asynchronous teaching of PDC/HPC during the gone by pandemic situation and its relevance in current context.
  4. Data science and big data aspects of teaching HPC/PDC, including early experience with data science degree programs.
  5. Evidence-based educational practices for teaching HPC/PDC topics that provide evidence about what works best under what circumstances.
  6. Experience with incorporating PDC and HPC topics into core CS/CE courses and in domains.
  7. Experience and challenges with HPC education in developing countries, especially in India and her neighboring Asian countries.
  8. Computational Science and Engineering courses.
  9. Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC and HPC.
  10. Employers’ experiences with new hires and expectation of the level of PDC and HPC proficiency among new graduates.
  11. Education resources based on high-level programming languages and environments such as Python, CUDA, OpenCL, OpenACC, SYCL, oneAPI, Hadoop, and Spark.
  12. Parallel and distributed models of programming and computation suitable for teaching, learning, and workforce development.
  13. Issues and experiences addressing the gender gap in computing and broadening participation of underrepresented groups.
  14. Challenges in remote teaching and evaluations, including those related to meaningful engagement of students and fair assessments.
  15. Experience of teaching large scale online courses in HPC and PDC across multiple geographies and student background

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 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/graduate or fostering broader community engagement. Submissions do not need to include an assessment of teaching techniques or in-class evaluations. 

 

SUBMISSION GUIDELINES

Authors should submit papers in PDF format through the submission site (https://easychair.org/conferences/?conf=eduhipc2024)

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 submission site (https://easychair.org/conferences/?conf=eduhipc2024). 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.

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 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 EduHiPC. We seek posters (2-page abstracts) describing recent or ongoing research in PDC Education.  

Peachy Parallel Assignments: Course assignments are integral to student learning and also play an important role in student perceptions of the field. EduHiPC 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?  Authors of papers accepted as poster papers will be invited to revise their papers in a 2-page format. Authors of all accepted full and short papers must be present at the workshop.

 

IMPORTANT DATES – EduHiPC Workshop

Submission site open: September 1, 2024

Abstract Submission Deadline: September 28, 2024 (Encouraged)

Full Paper submissions Deadline: October 11, 2024

Author notifications Deadline: November 8, 2024

Individual Workshop Advance Program published: November 10, 2024

Camera-ready Deadline: November 15, 2024

Conference dates: December 18-21, 2024

All deadlines are at 11:59 PM AoE (UTC-12).

 

ORGANIZATION COMMITTEE

Sushil Prasad, University of Texas, San Antonio, USA

Sheikh Ghafoor, Tennessee Tech University, USA

Alan Sussman, National Science Foundation & University of Maryland, USA

Ramachandran Vaidyanathan, Louisiana State University, USA

Charles Weems, University of Massachusetts, USA

Ashish Kuvelkar, C-DAC, India

Sharad Sinha, IIT Goa, India

Neelima Bayyapu, MIT, Manipal, India

 

Workshop Co-Chairs

Sushil K. Prasad, University of Texas San Antonio, USA, [email protected]

Ashish Kuvelkar, C-DAC, India, [email protected]

 

Program Co-Chairs

Sharad Sinha, IIT Goa, India, [email protected]

Neelima Bayyapu, MIT, Manipal, India, [email protected]

 

HiPC 2024 is the 31st edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. It will be an in-person event in Bengaluru, India, from December 18 to December 21, 2024. 

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Diversity and Inclusion

HiPC is committed to the promotion of diversity and inclusion in all professional activities. We encourage the diversity and welcome everyone regardless of age, gender identity, race, ethnicity, socioeconomic background, country of origin, religion, sexual orientation, physical ability, political views, education, and work experience. 

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