#Synopsys linkedin software

вЂњAnd what that really means is that the optimizations get done by looking at the much more complex search space than any individual tool would,вЂќ he said.

#Synopsys linkedin software

It also addresses rapid customization of chips for specific applications, as well as all dimensions of systems: hardware (physics), software (function), manufacturability, and architecture (form). вЂњWhat is different about this new tool, which we call design space optimization (DSO), is that it doesnвЂ™t apply to individual design steps, but to a whole design flow.вЂќ

вЂњMachine learning is now used on every one of our tools,вЂќ de Geus said. CerebrasвЂ™ second-generation chip has 2.6 trillion transistors, the on-off switches of digital computing. Customers include Cerebras, which makes a single chip out of an entire wafer (which can normally be divided into hundreds of chips). ItвЂ™s now being used in production environments with real customers and is enhanced to provide more complete system-level optimization. Synopsys released the first incarnation of its AI design software as DSO.ai in 2020. DSO.aiДe Geus said the companyвЂ™s efforts to automate design have always aimed for quality of results, time to results, and cost of results. As those manufacturing improvements hit limits because miniaturization is now at the atomic level, other kinds of improvements in design have to take their place. The latter is important for keeping chip costs low.ДЄpplying AI to address complexity, power, and scaling requirements to reach the 1,000 times performance target is critical to moving beyond MooreвЂ™s Law, which previously relied on manufacturing advances for productivity improvements. Performance measures the calculations it can do in a given time. Power refers to how much voltage it takes to power a chip. It leverages reinforcement learning to simultaneously optimize for power, performance, and area. Synopsys now takes a comprehensive approach to autonomous chip design that goes beyond just layout. At Synopsys, which will mark over 35 years in December, the EDA industry will have delivered 10 million times improvements in chip design productivity. That can then be converted into the physical layout for the surface of a chip and go to manufacturing.Дe Geus noted that logic synthesis helped launch the digital age and its exponential growth 35 years ago. SynopsysвЂ™ logic synthesis takes a design for a chip in the form of abstract specification of its logic circuits, typically at register transfer level (RTL), and turns it into a design implementation in terms of logic gates. It started out with a kind of AI that was more like translation software. Last year, the company posted $3.69 billion in revenues. I think the ambition is very high.вЂќ Origins of design automationДe Geus started Synopsys as an electronic design automation (EDA) software company in 1986. And I believe this new era is moving from scale complexity to systemic complexity. I think we have had the end of classic MooreвЂ™s Law. вЂњWeвЂ™re going to deliver 1,000 times performance at the end of the decade,вЂќ he said. De Geus said he believes Synopsys and AI will play a critical role in helping the chip industry achieve a 1,000 times performance increase in the next decade, helping it stay on the path of MooreвЂ™s Law (doubling chip performance every couple of years) even after scaling through manufacturing advances hits its limits. And I think weвЂ™re going to see exactly the same with design software automation (DSO), which is so powerful that it can look at (and understand) things that the human can no longer see.вЂќДe Geus will talk about the AI approach to chip design at the Hot Chips online chip conference today. вЂњBut 97% have said вЂThis is great.вЂ™ Now I can do more things much faster. вЂњAbout 3% of designers said вЂNow youвЂ™re taking my job awayвЂ™ back then,вЂќ he said.