ModSim 2026: Workshop on Modeling & Simulation of Systems and Applications

ModSim 2026: Workshop on Modeling & Simulation of Systems and Applications
August 12-14, 2026,
University of Washington Botanic Gardens
Center for Urban Horticulture, Seattle

Workshop URL: https://www.bnl.gov/modsim/
Submission URL: https://easychair.org/conferences/?conf=modsim26

Important Dates
EasyChair Submission Deadline: Friday, June 05, 2026 (11:59 pm PDT; 6:59 am UTC)
Notification of Acceptance: Monday, June 15, 2026 (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 poster at the annual gathering of our community, the Workshop on Modeling & Simulation of Systems and Applications (ModSim 2026).

The overarching theme this year, “ModSim-integrated AI and HPC,” will emphasize the central role of modeling and simulation in the design, implementation, optimization, operation, and scaling of the exponentially growing artificial intelligence (AI) ecosystem. We will discuss AI-driven ModSim methodologies, tools, best practices, projects, and initiatives; explore new computing and storage technologies for AI; and investigate best-in-class models enabling widely encompassing, quantitative, and accurate ModSim. Moreover, ModSim 2026 will aim to project future advances for technologies, workflows, and use case scenarios at all scales of computing for AI.

Submissions related to this year’s workshop theme, imparting lessons learned from specific projects, methods, tools, and use cases, are highly encouraged.

All abstracts must be submitted through EasyChair (https://easychair.org/conferences/?conf=modsim26) no later than Friday, June 05, 2026 (11:59 pm PDT; 6:59 am UTC). Those with accepted abstracts will be notified via e-mail on Monday, June 15, 2026. Domestic travel to ModSim 2026 may be available for full-time students at U.S.-based academic institutions, supported by a National Science Foundation travel grant.

Topic of Interest

Abstract contributions should relate to the workshop theme “ModSim-integrated AI and HPC.” Within the overall theme, subcategories of interest include:

Artificial Intelligence and Machine Learning: Workloads, Workflows, and Systems. AI, in general, and Machine Learning (ML), in particular, are important drivers to all forms of computing, including large-scale data- and numerically intensive high-performance computing (HPC). Consequently, systems designed for AI/ML workloads are critically important. Abstracts in this category should offer novel approaches for AI and ML workloads, ModSim for AI/ML architectures, and other approaches (e.g., intelligent computational steering driven by dynamic and offline learning).

Methodologies and Tools. AI and ML are not only revolutionizing applications, but these techniques also have the potential to revolutionize the way that HPC systems are designed. This abstract category solicits submissions that adopt AI/ML techniques in system design, such as predictive models of performance, power, or cost; approaches that intelligently explore and recommend designs; and techniques that optimize individual subsystems, across system layers, or the whole system with AI/ML. Abstracts should highlight how to advance the state of the art, as well as expectations for impacting future directions in this area.

Recent Advances in ModSim Implementation. The rapidly increasing complexity of systems and application workloads – along with the blending of compute, memory devices, storage, and interconnect then further combined with application software – translates into unprecedented challenges within the ModSim field. Submissions in this category, showcasing AI and non-AI approaches, are expected to highlight recent developments that can help overcome these significant challenges. Possible topics include, but are not limited to, novel ModSim methodologies, emerging areas of R&D, new projects or advances in existing projects, and new applications of ModSim tools to real-life problems.

Submission Guidelines

Suggested format: IEEE paper format – a two-column, single-spaced layout using Times New Roman 10-point font (letter or A4 size).

For Rapid Fire Consideration Only:
There is no set word limit for abstract submissions. However, please limit the submission to one page (letter or A4 size) with no smaller than 10-point font type. The abstract should provide an overview that adequately summarizes the topic(s) presented and any proposed impact on ModSim research or techniques, especially those relevant to the workshop theme.

*For Sudhakar Yalamanchili Award Applicants:
There is no set word limit for submissions. However, please limit the submission to no more than two pages (letter or A4 size) with no smaller than 10-point font type. The submission should formally address the topic(s) presented and proposed impacts on ModSim research or techniques, especially any details relevant toward meeting Sudha Award eligibility criteria.

The following details a proposed abstract layout and points to consider, all within the workshop’s theme:

Abstract Title
Primary research area:
– Artificial Intelligence and Machine Learning: Workloads, Workflows, and Systems
– Methodologies and Tools
– Recent Advances in ModSim Implementation

The abstract should include specific aspects of the work and answer questions, such as:

What is being modeled (e.g., performance, reliability, power, other)?
What is the target application?
What modeling techniques are being used?
What is novel about the approach versus current state of the art?
Are preliminary results or any notable lessons learned available?

*The Dr. Sudhakar Yalamanchili Award will be presented to the researcher who demonstrates an “outstanding contribution to ModSim” as derived from a pre-submitted Formal Abstract and Presentation/Poster Session hosted during the ModSim 2026 Workshop. ModSim 2026 Workshop Organizing Committee members will evaluate the abstracts/presentations/posters and make the final selection. To qualify, a person must be a graduate student or recent graduate within two years of her/his/their highest awarded degree at the time of the ModSim Workshop. Those holding “Assistant Professor” roles (e.g., tenure-track, early-career position [U.S.]; lecturer or junior professor [EU]) are not eligible. All submissions that satisfy these criteria are eligible for the award.