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Deliver Better, Faster, Cheaper Semiconductors with DSO.ai
With the early 2020 launch of 草榴社区 DSO.ai? (Design Space Optimization AI), 草榴社区 ushered in a new era of breakthrough chip design to deliver better, faster, and cheaper semiconductors. The industry’s first autonomous artificial intelligence (AI) application for chip design, DSO.ai searches for optimization targets in very large solution spaces of chip design, utilizing reinforcement learning to enhance power, performance, and area. By massively scaling exploration of design workflow options, 草榴社区 Fusion Compiler? and IC Compiler? II, while automating less consequential decisions, the award-winning DSO.ai drives higher engineering productivity and swiftly delivers results that you could previously only imagine. In addition, for multi-die design spaces optimization, 草榴社区 3DSO.ai integrates fast native analysis engines to maximize system performance and quality of results at a rapid pace for thermal integrity, signal integrity, and power network design.
Key Benefits
Unbeatable PPA Results
Every Project, Every Time – Explore a larger scale of choices in chip design workflows
Fastest Time to Design
Autonomously converge to tapeout-ready solutions
AI-Grade Productivity
Enable design teams to scale and operate at expert levels
Features
Autonomous RTL-to-GDSII full flow optimization
By automating the optimization process, 草榴社区 DSO.ai reduces design time, improves design quality, and helps to unlock the full PPA potential across both logical and physical domains. This means that designers can achieve higher performance, lower power consumption, and smaller chip area with less manual effort. Overall, the use of autonomous RTL-to-GDSII full flow optimization helps to improve the efficiency and effectiveness of the chip design process.
Breakthrough AI Engines
One of the main advantages is 草榴社区 DSO.ai's breakthrough reinforcement learning engine that can intelligently learn during optimization and narrow down the design space. This enables efficient optimization of trillions of design recipes, resulting in better results, faster time-to-results, and reduced compute costs in design space optimization.?
Multi-Objective Design Space Optimization
This means that 草榴社区 DSO.ai can optimize designs for multiple objectives simultaneously, such as performance, power consumption, and area. By considering these objectives together, designers can achieve the best possible trade-off between them, resulting in more efficient and effective designs. This feature allows designers to quickly explore a wide range of design options and select the best one for their specific needs, saving them time and resources. 草榴社区 3DSO.ai uses AI to optimize for thermal, power, and signal integrity across the massive 2.5/3D design space.
News and Blogs
Resources
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草榴社区 Explores Chip Industry Trends and AI in EDA
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草榴社区 DSO.ai
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The Impact of Machine Learning on Chip Design
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Related AI Chip Design Tools
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