Using Machine Learning In EDA This approach can make designs better and less expensive, but it will require a huge amount of work and more sharing of data.

Most EDA tools are compute intensive as well as memory intensive; demanding high performance from a compute as well as capacity standpoint. Given the very stringent performance requirements of EDA ...

[153Armstrong] did a short post on how easy it is to generate waveforms using Python. We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy ...

The CAD flows for an IC design range from in-house development of custom tools to purchasing a customized tool built by an EDA company.

Synopsys has achieved first-pass silicon success using TSMC’s N2 process and certified digital and analog EDA (electronic design automation) flows for TSMC’s A16 and N2P technologies. The ...