Synopsys, Inc. announced a major breakthrough in electronic design technology with the introduction of DSO.ai™ (Design Space Optimisation AI), the industry’s first autonomous artificial intelligence application for chip design. Synopsys’ DSO.ai solution, which inspired by DeepMind’s AlphaZero that mastered complex games like chess or Go, is an artificial intelligence and reasoning engine capable of searching for optimisation targets in very large solution spaces of chip design. DSO.ai revolutionises chip design by massively scaling exploration of options in design workflows while automating less consequential decisions, allowing SoC teams to operate at expert levels and significantly amplifying overall throughput.
“As new silicon technologies are testing the limits of physics, our customers are looking for manufacturing solutions that enable their innovative products,” said Jaehong Park, executive vice president of Foundry Design Platform Development at Samsung Electronics. “In our design environment, Synopsys’ DSO.ai systematically found optimal solutions that exceeded our previously achieved power-performance-area results. Furthermore, DSO.ai was able to achieve these results in as few as 3 days; a process that typically takes multiple experts over a month of experimentation. This AI-driven design methodology will enable Samsung Foundry customers to fully utilize the benefits of our cutting-edge silicon technologies for their SOC designs.”
DSO.ai is part of a multiyear, company-wide initiative and strategic investment in AI-based design technology, developed from the ground up at Synopsys.
Chip Design: A Vast Search Space
AI today can interact with humans through natural language, identify bank fraud and protect computer networks, drive cars around city streets, and play intelligent games like chess and Go. Chip design too is a very large space of potential solutions, trillions of times larger than, for example, the game of Go.
Searching this vast space is a very labor-intensive effort, which usually requires many weeks of experimentation, and often guided by past experiences and tribal knowledge. A chip design workflow typically consumes and generates terabytes of highly dimensional data compartmentalised and fragmented across many separately optimised silos. Engineers have to ingest volumes of high-velocity data and make complex decisions on the fly with incomplete analysis in order to create an optimal design recipe, often leading to decision fatigue and over-constraining of their design.
With today’s hypercompetitive markets and stringent silicon manufacturing requirements, the difference between a good recipe and an optimal recipe can be 100s of MHz of performance, hours of battery life, and millions of dollars in design costs.
The EDA Industry’s First Autonomous AI Application for Chip Design
Synopsys’ DSO.ai solution revolutionises the process of searching for optimal solutions by enabling autonomous optimisation of broad design spaces. DSO.ai engines ingest large data streams generated by chip design tools and use them to explore search spaces, observing how a design evolves over time and adjusting design choices, technology parameters, and workflows to guide the exploration process towards multi-dimensional optimisation objectives. Invented by Synopsys R&D, DSO.ai uses cutting-edge machine-learning technology to execute searches at massive scale, autonomously operating tens-to-thousands of exploration vectors and ingesting gigabytes of high-velocity design analysis data – all in real-time.
At the same time, DSO.ai automates less consequential decisions, like tuning tool settings, relieving designers of menial tasks and allowing teams to operate at a near-expert level. Knowledge is shared and applied with high effectiveness across entire design teams. This level of productivity means that engineers are now available for more projects, apply more time on a given problem to achieve better results, handle larger parts of a project, and focus on creative and value-added tasks.
A Leap in Productivity
- Better design solutions, every time: By massively scaling design workflows, Synopsys’ DSO.ai brings immediate visibility into hard-to-explore design-process-technology solution spaces. Enhanced visibility means bringing to market more differentiated products with better performance and higher energy-efficiency – all within existing budgets and schedules. It means maximising the benefits of silicon process technologies and pushing the limits of scaling.
- Faster time to market: With Synopsys’ DSO.ai solution, the throughput of engineering teams is significantly amplified, and less consequential tasks are completely automated. DSO.ai means slashing lead times to creating products for new markets while accelerating derivatives of existing products to a fraction of current schedules. It means effortlessly retargeting products to different markets with different feature sets.
- Reduced cost through automation: DSO.ai can mean making the best of the most valuable resource – engineering creativity. Relieved from manual, time consuming tasks, engineers can now become available to take on new projects; new hires can be ramped-up quickly to operate at the level of experienced veterans; and overall support overhead for design and manufacturing is minimised.
“Ever since the introduction of Design Compiler in the late ’80s, Synopsys has been enabling silicon innovators with tools and technologies across the design spectrum,” said Sassine Ghazi, general manager, Design Group at Synopsys. “With DSO.ai, once again, Synopsys is starting a new chapter in semiconductor design. More than two years ago we set out on a fascinating journey to bring AI to chip design, partnering with academic researchers, industry thought leaders, and AI technology pioneers. Today’s announcement marks a very important milestone, and our journey in AI is only just beginning.”
Synopsys’ DSO.ai solution is currently in select deployments with industry-leading partners with broader availability planned for the second half of 2020.
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