Presentation
Additional Meeting - CEDA Lunch: The Role of Open-Source Hardware in AI for EDA
DescriptionSemiconductors have enabled today’s AI, and continued progress in AI will remain tightly coupled to advances in semiconductor hardware. This hardware is becoming increasingly specialized and heterogeneous, from accelerator-rich system-on-chip (SoC) devices to chiplet-based systems in advanced packages. At the same time, growing design complexity threatens this progress, as engineering and verification effort continues to rise and the semiconductor industry faces a persistent workforce gap. Agentic AI is expected to help address this challenge by boosting design productivity through a new class of EDA tools. Yet major obstacles remain. Hardware design is intrinsically different from software development, and many of the high-quality design artifacts, datasets, and workflows needed to train, evaluate, and validate AI-based methods are proprietary. Building on my experience developing ESP, an open-source platform for heterogeneous SoC design, this talk makes the case that open-source hardware is a key enabler for effective AI for EDA. By providing shareable artifacts, reproducible evaluation, and collaboration at scale across universities, government labs, and industry, open-source hardware can accelerate the development and validation of agentic AI workflows, while fostering curriculum innovation to train the next generation of hardware engineers and EDA tool developers.
Presenter
Event Type
Additional Meeting
TimeTuesday, July 2812:00pm - 1:30pm PDT
LocationMtg Room 104B