Conference Website : http://cogarchworkshop.org
Hardware and software design considerations are gravitating towards AI applications, as those have been proven extremely useful in a wide variety of fields, from edge computing in autonomous cars, to cloud-based computing for personalized medicine. Recent efforts to utilize AI for hardware design have been gaining traction. AI models have been shown to be effective in tackling complex challenges in the EDA world when applied to automatic place-and-route, design of novel architectures, leveraging new material/packaging technologies or even optimizing manufacturing processes.
The CogArch workshop solicits formative ideas and new product offerings in the general space of AI systems that are applied towards designing of next generation processing systems, at every stage of conceptualization, design, testing, verification and manufacturing.
Topics of interest include (but are not limited to):
- Application of AI models towards hardware design
- AI-enabled architecture design and exploration
- AI for efficient EDA optimizations, place-and-route
- AI-enabled optimizations for compilers, firmware and middleware
- AI for test bench generation for hardware
- AI techniques for leveraging emerging device technologies, 2.5D/3D stacking, chiplet architectures, novel packaging technologies
- AI/ML for fast system modeling and simulation
- AI for improving efficiency and coverage of verification methodologies
- Demonstrations (live or recorded) showcasing prototypes, tools and methodologies for AI-inspired hardware design
Submission guidelines: 2 pages, including references, with same formatting guidelines as the ISCA 2024 main conference.
Submissions must be made at the following site: https://easychair.org/my/conference?conf=cogarch2024
Important dates
- Paper submission deadline: April 11th, 2024
- Notification of acceptance: April 25th, 2024
- Final paper submission: May 8th, 2024
- Workshop date: June 29/30th 2024
Organizers
Karthik Swaminathan, Subhankar Pal, Aporva Amarnath, Ananda Samajdar
Affiliation: IBM T. J. Watson Research Center