3rd Workshop on Education for High Performance Computing (EduHiPC 2021)

To be Virtually Held in Conjunction With


The 3rd EduHiPC workshop invited unpublished manuscripts from academia, industry, and research institutes on topics pertaining to the teaching of PDC/HPC topics. The program will include presentations by authors of six papers.  All of these papers are published in the HiPCW workshops volume of the proceedings, which also includes a slides presentation file for each paper. These proceedings will be distributed prior to the conference to all registrants.


All times are in IST


10:00 AM: Welcome and Introduction


10:05 AM:

Keynote Talk: Early Parallel and Distributed Computing Education: Canary in the Coal Mine

Prof. Charles Weems, Co-director of the Architecture and Language Implementation Laboratory, University of Massachusetts, USA


10:45 AM: Q & A


10:50 AM – 11:30 AM:

Paper Session 1 Theme: PDC Teaching Experience (10 minutes for each paper)


10:50 AM:

Teaching Parallel and Distributed Computing Concepts Using OpenMPI and Java

Joel Adams (Calvin University, USA) – Invited paper


11:00 AM:

Broad Awareness of Unseen Work on a Concurrency-Based Assignment

Prasun Dewan, Samuel George, Bowen Gu, Zhizhou Liu, Hao Wang, and Andrew Wortas (University of North Carolina, USA)


11:10 AM:

Teaching High Productivity and High Performance in an Introductory Parallel Programming Course

Vivek Kumar (IIIT Delhi, India)


11:20 AM:

[email protected]: A Hands-on Approach for Training Next-Gen HPC Software Architects

Tanzima Islam and Chase Phelps (Texas State University, USA) – Invited paper


11:30 AM: Q & A


11:40 AM – 12:00 PM:

Paper Session 2 Theme: PDC Learning and Adoption (10 minutes for each paper)


11:40 AM:

Online Learning Platform for Application-Inspired Cloud and DevOps Curriculum

Songjie Wang, Roshan Neupane, Ashish Pandey, Xiyao Cheng, and Prasad Calyam (University of Missouri, USA)


11:50 AM:

We Need Community Effort to Achieve PDC Adoption!

Erik Saule and Kalpathi Subramanian (University of North Carolina, Charlotte, USA) and Jamie Payton (Temple University, USA) – Invited paper


12:00 PM: Q & A and Closing Remarks





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, such as data science, parallel machine learning and high performance computing. Therefore, it is important for every computing professional (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 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 it, in order to prepare students for careers that are increasingly likely to involve PDC and HPC in the near future. 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 3rd EduHiPC (EduHiPC 2021) workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to 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. Additionally, we highly 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 (both hardware vendors and employers), government labs, and academia in the context of HiPC 2021. The goal is 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. We also encourage submissions related to the challenges in imparting education during this difficult pandemic situation. This effort is in coordination with 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. Issues and experiences addressing remote synchronous and asynchronous teaching of PDC/HPC during the current pandemic situation.
  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, its vicinity, and Asia.
  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 X10, Chapel, Haskell, Python, Cilk, CUDA, OpenCL, OpenACC, 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, including those related to meaningful engagement of students and assessment.


Notice about COVID-19

We are closely monitoring the COVID-19 situation globally and in India in particular. The decision whether to hold the conference on-site or virtually will be made before October 2021. Should the conference be held on-site, we understand that travel to India and within India may still be difficult or even impossible for some. Because travel from outside India will require an entry visa and that there may be travel restrictions still in place, we will arrange some form of remote presentation for those authors. We do not have changes to how accepted papers will be published in IEEE Xplore — every accepted paper will have at least one author who will register at the notified (reduced) registration fee and also present the paper at the conference (virtually/physically).




Authors should submit papers in PDF format through the submission site (https://easychair.org/conferences/?conf=eduhipc21).


We are accepting submissions for full papers (5-8 pages including figures, tables, and references). Submissions should be formatted as single-spaced, double-column pages (IEEE format). Authors must try to revise their papers to incorporate feedback from the reviewers. All accepted papers will be published in the HiPC Workshop Proceedings and will be included in the IEEE Xplore digital library. Accepted papers will be available from the CDER website approximately 2 weeks before the workshop so that attendees can read papers before attending the talks. Papers that are not accepted as full papers may be optionally accepted as short poster papers (2 pages). 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 present at the workshop. Authors will be further invited to publish their work in a Journal of Parallel and Distributed Computing (JPDC) special issue, as in the past workshops.



Abstract Submission Deadline: October 7, 2021 (encouraged)
Paper Submission Deadline: October 12, 2021 October 17, 2021
Paper Notification: November 05, 2021 November 08, 2021
Camera-ready Deadline: November 12, 2021


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





Organizing 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
Anshul Gupta, IBM, USA
Charles Weems, University of Massachusetts, USA
Ashish Kuvelkar, CDAC, India
Preeti Malakar, IIT Kanpur, India


Workshop Co-Chairs

Sushil K. Prasad, University of Texas San Antonio, USA, [email protected]
Sheikh Ghafoor, Tennessee Tech University, USA, [email protected]


Program Co-Chairs

Ashish Kuvelkar, CDAC, India, [email protected]
Preeti Malakar, IIT Kanpur, India, [email protected]


Proceedings Chair

Satish Puri, Marquette University, USA


Tentative Program Committee

Ramachandran Vaidyanathan, Louisiana State University, USA
Martina Barnas, Indiana University Bloomington, USA
Nasser Giacaman, The University of Auckland, NZ
Henry Gabb, Intel, USA
Mike Rogers, Tennessee Tech University, USA
Anshul Gupta, IBM Research, USA
Ritu Arora, University of Texas, USA
David Brown, Elmhurst University, USA
Joel Adams, Calvin College, USA
Charles Weems, University of Massachusetts, USA
Alan Sussman, University of Maryland, USA
David Bunde, Knox College, USA
Chitra P., Thiagarajar College of Engineering, India
Kazi A. Kalpoma, Ahsanullah University of Engineering and Technology, Bangladesh
Devangi Parikh, University of Texas, USA
Somnath Roy, IIT Kharagpur
Unnikrishnan C, IIT Palakkad
Swarnendu Biswas, IIT Kanpur
Nikhil Hegde, IIT Dharwad
Jagpreet Singh, IIIT Allahabad
G. Ramakrishna, IIT Tirupati

Sandeep Chandran, IIT Palakkad, India
Bharat Kumar, Nvidia, India
Subodh Sharma, IIT Delhi, India
Shiva Gopalakrishnan, IIT Bombay, India
Suresh Purini, IIIT Hyderabad

Konduri Aditya, IISc Bangalore

Joycee Mekie, IIT Gandhinagar

Dhiraj Patil, IIT Darwad