The 3rd Workshop on Software and Hardware Co-design of Deep Learning Systems in Future Architectures (SHDA) in conjunction with SCA/HPCAsia 2026 invites extended abstracts on new directions on co-design of machine learning systems in future architectures from academia, government, and industry. 

With the recent advancements in artificial intelligence, deep learning systems and applications have become a driving force in multiple transdisciplinary domains. This evolution has been supported by the rapid improvements of advanced processor, accelerator, memory, storage, interconnect and system architectures, including architectures based on future and emerging hardware (e.g., quantum, superconducting, photonic, neuromorphic). However, existing research is focused on hardware accelerators, deep learning systems and applications separately, but the co-design among them is largely underexplored. To develop high-performance deep learning systems on advanced accelerators, our workshop will focus on the following three important topics: 

1. adaptive deep learning model exploration and training for target inference devices based on customized user demands, 
2. joint optimization of deep learning model design with future accelerator architecture/compiler design, and 
3.  how to leverage state-of-the-art computational functionalities from advanced accelerators for application optimization. 

The scope of the workshop will not be limited to the above topics and the organizers will consider other abstracts that are closely related.

SHDA-3 held in conjunction with SCA/HPCAsia 2026, which will take place in Osaka, Japan from January 26, 2026. This half-day workshop will be held on the afternoon of January 26, 2026 and will include sessions for 20-min extended abstract presentations, invited talks, and panel discussions. 

The workshop for the website can be found here: https://shda-workshop.github.io.

Submission Guidelines

Extended abstracts are at most two pages, formatted in a single-column layout with an 11-point font size on letter-sized paper, and peer-reviewed by the organizers.

Extended abstracts should be submitted through the EasyChair system.

Submission deadline: November 7, 2025 (AoE)

Author notification: November 28, 2025 (AoE)

Camera-ready paper:  December 12, 2025 (AoE)

Committees

Organizing and Program Committee

• Jong Choi, Oak Ridge National Laboratory
• Masaaki Kondo, RIKEN Center for Computational Science (R-CCS) and Keio University
• Shruti Kulkarni, Oak Ridge National Laboratory
• Seung-Hwan Lim, Oak Ridge National Laboratory
• Tong Shu, University of North Texas
• Elaine Wong, Oak Ridge National Laboratory

Contact

All questions about submissions can be emailed to any of the organizers.