ModSim 2025

Workshop on Modeling & Simulation of Systems and Applications (ModSim) 2025
August 13-15, 2025,
University of Washington Botanic Gardens Center for Urban Horticulture, Seattle

Workshop URL: https://www.bnl.gov/modsim/
Submission URL: https://easychair.org/conferences/?conf=modsimworkshop2025

Important Dates
EasyChair Submission Deadline: Monday, May 26, 2025 (11:59 pm PDT; 6:59 am UTC)
Notification of Acceptance: Monday, June 9, 2025 (via e-mail)

To promote advancements in modeling and simulation (ModSim) research, we are soliciting input in the form of abstracts. If accepted, author(s) will be invited to host a short presentation and/or poster at the annual gathering of our community, the Workshop on Modeling & Simulation of Systems and Applications (ModSim 2025). This year’s workshop theme is Modeling and Simulation for Extreme Computing in the AI Era. The emphasis will be on emerging and revolutionary new technologies and architectures for computing of AI workloads. ModSim for processors and system architectures design and optimization that scale and perform at the pace of AI, including novel AI-driven methodologies for ModSim, as well as tools, best practices, and new directions will be showcased and discussed throughout the workshop. As always, projects and initiatives that address computing challenges in the AI Era and aim to advance the state-of-the-art in modeling performance, power, and reliability of extreme computing will be represented. Specific areas of interest are further defined in the Topic Areas subsection of this call. Submissions related to this year’s workshop theme, imparting lessons learned from specific projects, methods, tools, and use cases, are highly encouraged. Domestic travel to ModSim 2025 may be available for full-time students at U.S.-based academic institutions, supported by a National Science Foundation travel grant.

Topic Areas: 
Abstract contributions should relate to the workshop theme Modeling and Simulation for Extreme Computing in the AI Era. Within the overall theme, subcategories of interest include:

• Artificial Intelligence and Machine Learning Workloads and Systems
• Methodologies and Tools.
• Recent Advances in ModSim Implementation.