First International Symposium on Artificial Intelligence and Extreme-Scale Workflows

Held in conjunction with The International Conference for High Performance Computing, Networking, Storage, and Analysis 2025 in St-Louis, Missouri.

Date: November 21, 2025

Description

Extreme-scale workflows play a crucial role in increasing scientific productivity by helping scientists orchestrate today’s scientific campaigns. With the recent developments in artificial intelligence (AI) and its growing application in scientific campaigns, we started to witness the integration of AI tasks into scientific workflows (workflows for AI). There can also be significant benefits for existing scientific workflows when augmenting them with AI (AI for workflows). Given the early stage of these emerging topics, more effort is needed to outline the role of AI in scientific workflows. The 1st International Symposium on Artificial Intelligence and Extreme-Scale Workflows will provide the scientific community with a dedicated platform for discussing current efforts, opportunities, and open challenges in AI and scientific workflows. This symposium features invited talks given by the leaders in the field and aims to further advance AI workflows by fostering new connections and ideas among the workshop participants.

This symposium will actively drive discussion and will cover the following key topics:

• AI workflows: Highlighting opportunities of AI workflows for science.
• Integration challenges: Discussing challenges associated with integrating traditional HPC workflows and AI pipelines.
• Current landscape: Presenting the ongoing efforts in the workflows community to develop and support AI workflows.
• Emerging workflows: Highlighting novel use cases of AI workflows.
• Large language models (LLMs): Examining the potential roles and applications of LLMs in the context of AI workflows.
• Future directions: Engaging in a moderated discussion with the audience on the roadmap for AI workflows, addressing both technical and community-driven priorities.

Goals

The main goal of this workshop is to review the current efforts of AI workflows and outline the opportunities and the open challenges in this field. We hope that the talks will foster new collaborations and new ideas among the workshop attendees. Furthermore, AI workflows encompass a broad range of communities such as HPC, AI, workflows, and domain scientists. Further developments in AI workflows depend on individuals from these groups working closely with each other, and building new connections between these communities is another goal of this workshop. A workshop report highlighting the activities, findings, and future directions for AI workflows will be published at arXiv and will be submitted to an international journal within this field.

Program

TBA

Symposium Co-chairs

• Orçun Yildiz (Argonne National Laboratory, USA) oyildiz at anl.gov
• Loïc Pottier (Lawrence Livermore National Laboratory, USA) pottier1 at llnl.gov

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