The SEHET22 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:
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:
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 SEHET22 website.
The SIGHPC Education chapter has as its purpose the promotion of interest in and knowledge of applications of High Performance Computing (HPC).