[hpc-announce] CfP - 2nd International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (Virtual Workshop at IEEE Cluster 2021)

[Stefano Markidis]

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2nd International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
held in conjunction with IEEE Cluster 2021

https://ai4s.github.io

Accepted papers will be indexed and published in the IEEE Digital Library though TCHPC

Submission Deadline: July 5, 2021 (6-page full papers)
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Artificial intelligence (AI)/machine learning (ML) is a game-changing technology that has shown tremendous advantages and improvements in algorithms, implementation, and applications. We have seen many successful stories of applying AI/ML to scientific applications, such as predicting extreme weather events, identifying exoplanets in trillions of sky pixels, and accelerating numerical solvers in fluid simulation. However, there are a number of problems remaining to be studied to enhance the usability of AI/ML to scientific applications. For example, how to systematically and automatically apply AI/ML to scientific applications? How to incorporate domain knowledge (e.g., conservation laws, invariants, causality, and symmetries) into AI/ML models? How to make the models interpretable and robust for HPC? How to make AI/ML more approachable to the HPC community? Addressing the above problems will bridge the gap between AI/ML and scientific applications and enable wider employment of AI/ML in HPC.

The purpose of this workshop is to bring together computer scientists and domain scientists from academia, government, and industry to share recent advances in the use of AI/ML to various scientific applications, introduce new scientific application problems to the broader community, and stimulate tools and infrastructures to support the application of AI/ML in scientific applications. The workshop will be organized as a series of plenary talks based on peer-reviewed paper submissions accompanied by keynotes from distinguished researchers in the area and a panel discussion. We encourage participation and submissions from universities, industry, and DOE National Laboratories.

*Submission Topics*
Topics will include but will not be limited to:
* Innovative AI/ML models to analyze, accelerate, or improve performance of scientific applications in terms of execution time and simulation accuracy;
* Innovative methods to incorporate complex constraints imposed by physical principles to scientific applications;
* Innovative methods to completely or partially replace first-order computation with efficient AI/ML models including applications to Computational Fluid Dynamics, astrophysics, molecular dynamics, material science, and biology.
* Tools and infrastructure to improve the usability of AI/ML to scientific applications;
* Performance characterization and study on the possibility of using AI/ML to specific scientific applications;
* Workflow of applying AI/ML to scientific applications;
* Innovative methods to make AI models interpretable and robust for scientific applications.

*Submission Guidelines*
Authors are invited to submit manuscripts in English structured as technical papers up to 6 pages, both of letter size (8.5in x 11in) and including figures, tables, and references. Submissions not conforming to these guidelines may be returned without review. Your paper should be formatted using IEEE conference format which can be found from http://www.ieee.org/conferences_events/conferences/publishing/templates.html. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop organizers for more information.

Papers should be submitted electronically at: https://easychair.org/conferences/?conf=ai4s. The accepted papers are planned to be published by IEEE as part of the Cluster2021 Proceedings.

*Important dates*
Submission Deadline:                                    July 5, 2021
Acceptance Notification:                                July 26, 2021
Camera-ready Manuscripts Due:                  July 30, 2021
Workshop Date:                                             September 7, 2021

*Workshop Format*
AI4S is a half-day Sunday workshop.  It will be comprised of:
* Keynote and invited talks
* Talks selected among paper submissions

*Workshop Organizers*
* Gokcen Kestor, Pacific Northwest National Lab
* Dong Li, University of California, Merced
* Stefano Markidis, KTH Royal Institute of Technology

*Technical Program Committee*
* Murugan Natarajan Arul, KTH Royal Institute of Technology
* Kevin Barker, Pacific Northwest National Laboratory
* Sutanay Choudhury, Pacific Northwest National Laboratory
* Aleksandr Drozd, RIKEN
* Murali Emani, Argonne National Laboratory
* Tushar Krishna, Georgia Institute of Technology
* Ivy Peng, Lawrence Livermore National Laboratory
* Artur Podobas, KTH Royal Institute of Technology
* Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
* Bin Ren, The College of William and Mary
* Min Si, Argonne National Laboratory
* Arvind Sujeeth, SambaNova Systems
* Abhinav Vishnu, AMD