LYON, France, January 10, 2022 – The 36th IEEE International Parallel and Distributed Processing Symposium (IPDPS) is launching a call for papers for its ExSAIS 2022: Workshop on Extreme Scaling of AI for Science which will take place on June 3, 2022. The deadline article submission deadline is February 1, 2022.
The following workshop description and its submission guidelines are provided by the event organizers:
The evolution of machine perception towards automatic learning and reasoning, and ultimately artificial intelligence, has the potential to have a significant impact on the acceleration and advancement of autonomous scientific discovery and the functioning of scientific instruments. While machine reasoning will enable intelligent systems to better understand and interact with their physical world, artificial intelligence through modeling, simulation and automation, bridges the gap between experiments, extreme computing and scientific discovery. In order to usher in this new era of autonomous science, advances in several areas of artificial intelligence and other disciplines, for example high performance computing, data engineering, must come together. Therefore, the aim of this workshop is to bring together researchers from diverse backgrounds to enable extreme scaling of AI for science.
This workshop will address the overall objective of enabling semi-autonomous and autonomous AI-based predictive and prescriptive scientific discovery on a large scale by integrating heterogeneous and reconfigurable computing paradigms at extreme scale, mathematics at multiple scales, simulation based on physics, data science and engineering to meet challenges in science, instrumentation and security, eg biology, chemistry and materials science. Specific areas of interest include:
- Algorithms: Advancing large-scale artificial intelligence through algorithmic development in the areas of probabilistic reasoning, multimodal representation learning, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction.
- Implementation and deployment: enable scalable artificial intelligence through advances in distributed and parallel AI algorithms and tools, heterogeneous and reconfigurable computing platforms and paradigms, Exascale systems, compilers and system software for AI algorithms / Large scale ML.
- Applications: Discuss application use cases in important scientific fields including computational biology, molecular chemistry, materials science, epidemiology, energy, and physics.
The workshop is looking for short and long articles covering all areas of scaling AI for science, engineering, and security, including, but not limited to:
- Parallel and distributed algorithms for machine learning, machine reasoning and artificial intelligence at scale. Specific examples include: probabilistic reasoning, data analysis, learning to represent knowledge, multimodal analysis, natural language processing, robotics, decision making, combinatorial optimization, and human-machine interaction
- Software tools, compilers and system software to enable AI to perceive and reason at scale. Specific examples include PyTorch (and Glow), TensorFlow (and XLA), CNTK, TVM, and the MLIR framework.
- Application case studies in all fields of science and engineering such as biology, chemistry, materials science, high energy physics and climate security.
- Position or full article submission: February 1, 2022 AoE
- Notification: February 28, 2022
- Ready for the camera: March 15, 2022
- Workshop: June 3, 2022
Submission site: https://ssl.linklings.net/conferences/ipdps.
Authors can submit two types of articles: short articles (up to 4 pages) and long articles (up to 10 pages). All submissions must be single-spaced, double-spaced pages using 10 point font size on 8.5 × 11 inch (IEEE conference style) pages, including figures, tables and references.
Models are available on: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
For more information on all IPPDS 2022 workshops, visit this link.
About the IPPDS workshops
IPPDS Workshops are the “bookends” of the three-day conference technical program comprised of articles, guest speakers, student programs and industry participation. They offer the IPPDS community the opportunity to explore particular topics and present more preliminary or cutting-edge work than the more mature research presented in the main symposium. Each workshop has its own requirements and schedule for submissions. Submission dates for workshop papers generally fall after the date of notification of major symposium papers. The workshop proceedings are distributed at the conference and are submitted for inclusion in the IEEE Xplore digital library after the conference.