DSO massively scales the exploration of choices in chip design workflows, while automating a high volume of less consequential decisions.
The DSO Agent analyzes large data streams generated by design tools and uses them to make optimization decisions, observing how a design evolves over time and adjusting design choices, technology parameters, and workflows to guide the search process towards multi-dimensional optimization objectives. Searches can be executed at massive scale, with RL-driven decision engines autonomously operating tens-to-thousands of exploration vectors and ingesting gigabytes of high-velocity design analysis data – all in real-time.
A key characteristic of AI-driven process optimization, DSO automates less consequential decisions, like tuning simulation engine settings, or orchestrating experiments, relieving designers of menial tasks and allowing teams to operate at a near-expert level. Once a DSO system builds up models on a given design workflow, the learnings can be shared and applied with high effectiveness across projects and design teams.
AI-grade DSO automation opens up a new growth trajectory for the semiconductor industry, enable companies to build new products and harvest new markets, and design teams to grow and deliver the innovations of tomorrow.