Enhance Productivity with Machine Learning in the Analog Front-End Design Flow

Advanced semiconductor nanometer technology nodes, together with smart IC design applications enable today very complex and powerful systems for communication, automotive, data transmission, AI, IoT, medical, industry, energy harvesting, and many more. However, more aggressive time-to-market and higher performance requirements force IC designers to look for advanced and seamless design flows, tools & methodologies to meet design requirements in a tight design schedule. Automated circuit sizing and optimization is becoming a very important tool to achieve that.

MunEDA provides the necessary features to enhance designers’ productivity by circuit optimization within its EDA design tool suite WiCkeD.

In this webinar we’ll discuss state-of-the-art circuit optimization methodology, and particularly how to use it most efficiently in order to enhance design quality and designers’ productivity.

Speakers:

Michael Pronath. Michael is VP of Products & Solutions at MunEDA, and author and co-author of several international publications about methods of analog integrated circuit design and testing of mixed-signal circuits.

Dave Johnson is President of FirstShift Technologies which represents MunEDA in North America. He has also worked at worked at NXP, Neolinear, and Cadence. Dave started his career as an I/O library circuit designer.

*This webinar is in partnership with SemiWiki and MunEDA*