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Electronic Design Automation
TSMC continues to reinforce its leadership in advanced semiconductor manufacturing through its deepening collaboration with Cadence Design Systems. The expanded partnership focuses on enabling next-generation artificial intelligence and high-performance computing innovations by aligning advanced electronic design… Read More
A few weeks ago, I had the chance to work with AMIQ EDA as they introduced a new product: DVT MCP Server. I was quite intrigued by the role it will play in AI-assisted chip design and verification, so I wanted to learn more. I spoke with Gabriel Busuioc, the AI Assistant team leader at AMIQ EDA, to understand more about the product and how… Read More
The semiconductor industry is on track to exceed one trillion dollars in annual revenue by the end of the decade, propelled by AI, advanced computing, and edge applications. Yet beneath this growth lies a structural shift. Manufacturing complexity is rising faster than the industry’s ability to manage it. As architectures move… Read More
Dr. Raj Gautam Dutta is the Co-Founder and Chief Executive Officer of Silicon Assurance, where he defines the company’s strategic direction and leads its technology and product vision. He is responsible for driving the development of differentiated hardware security solutions, executing growth and partnership strategies,… Read More
Daniel is joined by Xiaolin Chen, Senior Director of Technical Product Management for Formal Solutions at Synopsys. She has over 20 years of experience applying formal technology in verification and partnering with customers to identify opportunities where formal methods are best suited to solve complex verification challenges.… Read More
Clock power is rarely the issue teams expect to limit advanced-node designs. Yet in many chips today, over-driven clock networks quietly consume disproportionate power, reduce thermal headroom, and can constrain achievable frequency. And all while passing traditional sign-off checks and often remaining locked in through… Read More
Physical AI is an emerging hot trend, popularly associated with robotics though it has much wider scope than compute systems interacting with the physical world. For any domain in which analysis rests on differential equations (foundational in physics), the transformer-based systems behind LLMs are not the best fit for machine… Read More
Tell us a little bit about yourself and your company.
My name’s Abhijeet Chakraborty and I’m Vice President of Engineering at Synopsys. I led the development of Synopsys Design Compiler-NXT, the industry’s leading synthesis product, and now oversee the company’s multi-die and 3DIC product portfolio. Throughout my career,… Read More
Physical AI is changing how intelligent systems interact with the real world. These systems must sense, process, and respond to data in real time. Unlike cloud AI, Physical AI depends on fast local processing and reliable distributed communication. This shift creates a new challenge. Systems must move large volumes of sensor… Read More
I first learned about ATPG – Automatic Test Program Generation in the 1980s at Silicon Compilers, then continued in the 90s at Viewlogic with the Sunrise tools, so it was illuminating to get an update from Synopsys on their ATPG technology by attending a webinar. Synopsys over the years has developed a family of test tools, shown … Read More
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An AI-Native Architecture That Eliminates GPU Inefficiencies