June 22nd 2025, Tokyo, Japan
Artificial Intelligence (AI) and Machine Learning (ML) techniques have become the de facto solution to drive human progress and
more specifically, automation. In the last few years, the world’s economy has been gravitating towards the AI/ML domain (from industrial
and scientific perspectives) and the expectation of growth has only been increasing with the rapid rate of innovation and commercial deployments.
Over the past eight editions, the CogArch workshop has brought together experts and knowledge on the most novel design ideas for cognitive systems.
This workshop capitalizes on the synergy between industrial and academic efforts in order to provide a better understanding of cognitive systems
and key concepts of their design. This particular edition emphasizes the challenges associated with the implementation of generative
AI and the integration of chiplets as a means to fully realize its potential. As generative AI models continue to expand
in size and complexity, the resulting computational demands impact the entire software-hardware ecosystem. This creates a variety of new challenges
that necessitate unconventional strategies to maintain scalability in both upward and outward directions. With Large Language Model (LLM) parameter
sizes approaching several billions, chiplet-based architectures represent a promising technological advancement that could enable a cost-effective
and energy-efficient solution for processing such models, thus potentially transforming the future landscape of cognitive systems.
The CogArch workshop solicits formative ideas and new product offerings in the general space of AI systems that covers all the design aspects of
cognitive systems, with particular focus this year on the adoption of chiplets as a promising way to support large-scale generative AI.
Topics of interest include (but are not limited to):
The workshop will consist of regular presentations and/or prototype demonstrations by authors of selected submissions. In addition, it will include invited keynotes by eminent researchers as well as interactive panel discussions to kindle further interest in these research topics.
Submitted manuscripts must be in English of up to 2 pages (with same
formatting guidelines as main
conference) indicating the type of submission: regular presentation or prototype
demonstration. Submissions should be submitted to the following
link by
April 18th, 2025.
If you have questions regarding submission, please contact us:
info@cogarchworkshop.org
CogArch will feature a session where researchers can showcase innovative prototype demonstrations or proof-of-concept designs in the cognitive architecture space. Examples of such demonstrations may include (but are not limited to):
Pradip Bose is a Distinguished Research Staff Member and manager of Efficient and Resilient Systems at IBM T. J. Watson Research Center. He has over thirty-three years of experience at IBM, and was a member of the pioneering RISC super scalar project at IBM (a pre-cursor to the first RS/6000 system product). He holds a Ph.D. degree from University of Illinois at Urbana-Champaign.
Alper Buyuktosunoglu is a Research Staff Member at IBM T. J. Watson Research Center. He has been involved in research and development work in support of IBM Power Systems and IBM z Systems in the area of high performance, reliability and power-aware computer architectures. He holds a Ph.D. degree from University of Rochester.
Eri Ogawa is a researcher at IBM Research, Tokyo, Japan. Her research interests include computer architecture, compiler, and deep learning acceleration. She has an MS from Tokyo Institute of Technology.
Mori Ohara is a Distinguished Engineer and deputy director of IBM Research – Tokyo. He has been involved in performance analysis and optimization research across system stacks from computer architecture, compiler and runtime to middleware for commercial systems, such as IBM Z Systems and IBM Power Systems. His current research interests include AI accelerators, and their compiler, runtime, and programming models. He holds M.S. and Ph.D. degrees from Stanford University.
Karthik Swaminathan is a Research Staff Member at IBM T. J. Watson Research Center. His research interests include power-aware architectures, domain-specific accelerators and emerging device technologies in processor design. He is also interested in architectures for approximate and cognitive computing, particularly in aspects related to their reliability and energy efficiency. He holds a Ph.D. degree from Penn State University.
Augusto Vega is a Research Staff Member at IBM T. J. Watson Research Center involved in research and development work in the areas of highly-reliable power-efficient embedded designs, cognitive systems and mobile computing. He holds a Ph.D. degree from Polytechnic University of Catalonia (UPC), Spain.
The AI and Robotics Timeline from 1939 to date
The AI portal with the latest research activities conducted by IBM on AI
The Foundation Models portal
The What are chiplets? introductory guide
CogArch will be held in conjunction with the 52nd International Symposium on Computer Architecture (ISCA 2025). Refer to the main venue to continue with the registration process.