Seventh Workshop on Strategies for Enhancing HPC Education and Training (SEHET24) Call for Papers

PEARC24 Conference
Providence, Rhode Island
July 21-25, 2024

Submit your paper via the EasyChair for SEHET24 website!

The SEHET24 workshop is an ACM SIGHPC Education Chapter coordinated effort aimed at fostering collaborations among the practitioners from traditional and emerging fields to explore strategies to enhance computational, data-enabled and HPC educational needs. Attendees will discuss approaches for developing and deploying HPC training and education, as well as identifying new challenges and opportunities for keeping pace with the rapid pace of technological advances - from collaborative and online learning tools to new HPC platforms.

The workshop will provide opportunities for: learning about methods for conducting effective HPC education and training; promoting collaborations among HPC educators, trainers and users; and for disseminating resources, materials, lessons learned and good/best practices.

This half-day workshop is aimed at users, professionals, researchers, scholars, educators, and other interested community members with an active interest in training, educating, using and supporting the HPC community of developers, researchers, educators, and practitioners. The workshop will include a panel, presentations and lightning talks. Topics of interest include but are not limited to:

• Pedagogical methods/tools enabling Cybersecurity, Accelerated Analytics, AI, Cloud applications, Human Powered Computing and other emerging technologies
• Pedagogical methods/tools from TinyML through to Exascale (and everything in between)
• Best practices and models for teaching and learning HPC topics and course materials
• Sustainable educational strategies for HPC education and training
• Emerging and scalable online environments and tools for HPC education and training
• Evaluation and assessment of training and instructional materials
• Legal issues involved in training (e.g. ADA compliance, software licenses, intellectual property rights, etc.)
• Novel andragogical approaches for training and education
• Innovative pedagogical methods for non-traditional HPC disciplines

We invite submissions for full papers and extended abstract lightning talks. All accepted papers and extended abstracts will be considered for publication in a special issue of Journal of Computational Science Education.

Important Dates: Submission Deadline: May 16, 2024 Notification of acceptance: June 3, 2024 Final camera ready submissions: June 17, 2024

Paper Submission

To be accepted for publication, each paper should describe:

• the nature of the training or education program
• Strategy
• assessment or evaluation technique
• situations for which it is relevant or in which it was applied
• an evaluation of its success
• lessons learned
• reproducibility of the processes and resources
• relevance to the broad range of training or education topics associated with the workshop

Paper Format

The submitted paper must follow the Journal of Computational Science Education templates to generate your PDF: MS Word and Latex. Papers that do not comply with ACM format and maximum 8 page length limit will be returned.

Selection Criteria

The submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. The authors must describe the algorithms and resources and processes used in the paper as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results.

The reproducibility factor will play an important role in the assessment of each submission. Authors are strongly encouraged to make their code and data publicly available whenever possible.

Review Process

Submissions will be peer-reviewed by at least 3 individuals. After the preliminary notification date, authors may rebut reviewer inquiries and their comments. Based on the rebuttal feedback, the Program Committee will notify authors of the final decision.

Paper submission is available online via: EasyChair for SEHET24 website.

Organizing Committee:

• Nitin Sukhija, Slippery Rock University of Pennsylvania
• Susan H. Mehringer, Cornell University
• Scott Lathrop, NCSA, University of Illinois at Urbana-Champaign
• Kate Cahill, New Jersey Insitute of Technology
• Julia Mullen, MIT Lincoln Laboratory

Workshop Chairs:

• Nitin Sukhija, Slippery Rock University of Pennsylvania
• Susan H. Mehringer, Cornell University

Proceedings Chair:

• David Joiner, Editor, Journal of Computational Science Education

Program Committee (Tentative):

• Chair: Scott Lathrop, NCSA, University of Illinois at Urbana-Champaign
• Julia Mullen, MIT Lincoln Laboratory
• Susan H. Mehringer, Cornell University
• Henry Neeman, University of Oklahoma
• Gowtham Shankara, Michigan Technological University
• John Coulter, Georgia Institute of Technology
• Weronika Filinger, The University of Edinburgh
• TBD