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EduHiPC 2022

4th Workshop on Education for High Performance Computing (EduHiPC 2022)
18 December, 2022, Bangalore, India

(EduHiPC Faculty Training workshop on 17 December)

(link to program)
(link to training workshop)
Call for Submission

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The 4th EduHiPC (EduHiPC 2022) workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to needs and approaches for augmenting undergraduate and graduate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 (hardware vendors and research and development organizations), government labs, and academia in the context of HiPC 2022. 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. We also encourage submissions related to the challenges in imparting education during this difficult pandemic situation and online evaluation mechanisms for PDC/HPC. 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 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. 


Authors should submit papers in PDF format through the submission site (

We are accepting submissions for full papers (up to 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 — every accepted paper will have at least one author who will register at the notified registration fee and also present the paper at the conference. For extraneous circumstances authors may be allowed to present virtually.  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 be 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. 

EduHiPC Faculty Training Workshop: There will be a full day hands on training workshop on how to integrate parallel and distributed computing (PDC) in undergraduate CS and CE curriculum on December 17 (a day prior to EduHiPC workshop). The training is targeted for faculty who teach undergraduate CS/CE classes and do not have expertise in PDC. The training will be jointly conducted by Scientist from CDAC and Faculty experts affiliated with CDER center. CDAC India will sponsor registration fee for HiPC conference for 20 participants attending the training workshop. Travel stipend to attend the training workshop and EduHiPC workshop is also available for participants from outside of greater Bengaluru area. Interested faculty are encouraged to apply to participate in the workshop by completing the following application form. Further details can be found in


Abstract Submission Deadline: September 22, 2022 (encouraged)
Paper Submission Deadline: September 30, 2022 October 15, 2022
Paper Notification: November 5, 2022 
Camera-ready Deadline: November 15, 2022

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, C-DAC, India
Preeti Malakar, IIT Kanpur, India 

Workshop Co-Chairs

Sushil K. Prasad, University of Texas San Antonio, USA,
Sheikh Ghafoor, Tennessee Tech University, USA,

Program Co-Chairs

Ashish Kuvelkar, C-DAC, India,
Preeti Malakar, IIT Kanpur, India,

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
Devangi Parikh, University of Texas, USA
Somnath Roy, IIT Kharagpur
Unnikrishnan C, IIT Palakkad
Swarnendu Biswas, IIT Kanpur
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
Konduri Aditya, IISc Bangalore
Suresh Purini, IIIT Hyderabad
Dhiraj Patil, IIT Dharwad
Rupesh Nasre, IIT Madras
Shubbhi Taneja, Worcester Polytechnic Institute, USA