BPHTE22 CFP
Call for Papers
Ninth SC Workshop on Best Practices for HPC Training and Education (BPHTE22)
November 13-18, 2022
Held in conjunction with SC22: The International Conference on High Performance Computing, Networking, Storage, and Analysis
https://sc22.supercomputing.org/
Since 2014, the Best Practices for HPC Training workshop series at SC has provided a global forum for addressing common challenges and solutions for enhancing HPC training and education, for sharing information through large and small group discussions, and for fostering collaboration opportunities. The Ninth workshop (BPHTE22), an ACM SIGHPC Education Chapter coordinated effort, is a full day workshop focusing on extending collaborations among practitioners from traditional and emerging fields, exploring the challenges in developing and deploying HPC training and education, and identifying new challenges and opportunities for the latest HPC platforms. The workshop will provide opportunities for: disseminating results, understanding the recent challenges with effectiveness of HPC education and training materials and promoting collaborations among HPC educators, trainers and users. We are planning for papers, lightning talks and demos to be presented by members of the international community. The workshop papers, extended lightning talks and demo abstracts will be published in a special issue of Journal of Computational Science Education .
We are now inviting abstract submissions for papers, lightning talks and demos.
Topics of interest include, but are not limited to, the following:
- Scalable and sustainable approaches for HPC training or HPC education
- Recruiting and retaining diverse individuals and communities
- Emerging and scalable online environments and tools for HPC education and training
- Certification of knowledge acquisition from training or education
- Processes to review training and education content
- Strategies to address early- and mid-career professionals
- Delivering effective training and education
- Identifying training gaps
- Evaluation, 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 and non-HPC disciplines
- Online Tools for HPC Training and Education
Submission Guidelines
The Workshop on Best Practices for HPC Training and Education (BPHTE22) follows a three-part submission process, with abstracts due by August 12, 2022, notification of acceptance by August 31, 2022, full papers due by September 9, 2022 and presentations by September 16, 2022 (There will be no extensions). Abstracts, papers and presentations must be submitted via the BPHTE22 online submissions system.
The workshop papers, extended lightning talks and demo abstracts will be published in a special issue of Journal of Computational Science Education For full consideration for publication, each paper and extended abstract 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
Abstract Submission (due August 12 , 2022)
The first stage of a three-stage submission process for the workshop. The first step is to submit an abstract (max 250 words) for your paper, lightning talk or demonstration submission. Upon submission of this abstract, a link will appear on your “My Submissions” page for you to upload your additional extended abstract (max 2 pages). Incomplete submissions (i.e., ones that do not include a file upload) will not be reviewed. Please view sample submission here.
Final Paper Submission (due September 9, 2022)
Upon acceptance of your abstract, the second stage of the two-stage submission process is to submit a full paper, updated abstract or demo files depending on your submission type, to the online submission system. Please view sample submission here.
Final Presentation Submission (due September 16, 2022)
Upon submission of your final paper, the third stage of the three-stage submission process is to submit a presentation depending on your submission type, to the online submission system. The authors will be provided a basic template to formulate the final presentations.
Selection Criteria
The submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. All the submissions will be required to follow the reproducibility template while preparing their manuscripts. The authors will be required to describe the algorithms and resources used in their 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. Moreover, authors will be strongly encouraged to make their code and data publicly available whenever possible.
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.
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.
Submission types
All submissions must indicate the topic of interest listed above and the contribution types (full papers, lightning talks and demos). Please view sample submission [Journal of Computational Science Education](https://submissions.supercomputing.org/?page=SampleForm&id=SC22WorkshopBestPracticesforHPCTrainingandEducationAbstract&site=sc22>here
The workshop papers, extended lightning talks and demo abstracts will be published in a special issue of Journal of Computational Science Education
Dual submission
Submission material cannot overlap substantially with any paper previously accepted for publication or under review by any conference or journal during the SC review process.
Paper submission is available online via: submissions link on the Workshop website.
Important Dates:
Submissions Open: May 18, 2022
Abstract Submission Deadline: August 12, 2022
Notification of acceptance: August 31, 2022
Final paper submissions: September 9, 2022
Final Presentation Due: September 16, 2022
Workshop Chairs:
- Nitin Sukhija, Slippery Rock University of Pennsylvania
- Nia Alexandrov, Daresbury Laboratory, Sci-Tech Daresbury
Proceedings Chair:
- Steven Gordon, Editor, Journal of Computational Science Education
The organizing committee for Ninth SC Workshop on Best Practices for HPC Training and Education includes:
- Julia Mullen, MIT Lincoln Laboratory
- Nitin Sukhija, Slippery Rock University of Pennsylvania
- Scott Lathrop, NCSA, University of Illinois at Urbana-Champaign
- Susan H. Mehringer, Cornell University
- Nia Alexandrov, Daresbury Laboratory, Sci-Tech Daresbury
- Kate Cahill, Ohio Supercomputer Center
- Dana Brunson, Oklahoma State University
- Fernanda S. Foertter, NVIDIA
- Maxim Belkin, NCSA, University of Illinois at Urbana-Champaign
- Henry Neeman, University of Oklahoma
- Gowtham Shankara, Michigan Technological University
- John Coulter, Indiana University
- Weronika Filinger, EPCC at the University of Edinburgh
- Aaron Weeden, Shodor Education Foundation
- Maria Ribera Sancho, Barcelona Supercomputing Centre, Barcelona Tech
- Ashley Barker, Oak Ridge National Laboratory (ORNL)
- Mary Ann Leung, Sustainable Horizons Institute
- Mozhgan Kabiri Chimeh, NVIDIA
- Camille Archer, Michigan State University
- Benson Muite, Tartu Ulikool
- Maciej Cytowski,Pawsey supercomputer center
- Sebastien Varrette, University of Luxembourg Campus Belval
- Fouzhan Hosseini, NAG (Numerical Algorithms Group)
- Juan Chen, National University of Defense Technology, China
- TBD
About SIG HPC Education:
The SIGHPC Education chapter has as its purpose the promotion of interest in and knowledge of applications of High Performance Computing (HPC).