Top Stories

Machine Learning Meets IC Design
There are multiple layers in which machine learning can help with the creation of semiconductors, but getting there is not as simple as for other application areas.

Verification In The Cloud
Is the semiconductor industry finally ready for EDA as a service?

Hybrid Emulation
Using a single execution engine for verification tasks is quickly becoming the exception as users try to balance performance, accuracy and context.

Blogs

Editor in Chief Ed Sperling finds design automation companies making forays into new markets that go far beyond the boundaries of chips, in EDA Moves Out Of The Shadows.

Synopsys’ Malte Doerper points to virtual prototyping as the bridge between the physical and virtual worlds, in Come Together Right Now Over…Virtual Prototypes.

OneSpin’s Dave Kelf contends that debugging automotive and safety-critical applications may be the most effective use of formal, in The Safe Road Trip Thanks To Formal Verification.

Aldec’s Krzysztof Szczur makes a case for emulation in the cloud, in Cutting CapEx, Not Capacity.

Mentor’s Ahmed Eisawy and ON Semi’s Justin Yerger look at how to ensure that FET drivers will work for years in harsh environments, in ON Semiconductor Meets AEC Challenges With Electrothermal Analysis.

Cadence’s Frank Schirrmeister compares two verification setups that incorporate emulation, in DAC 2017: A Glimpse Of How The Future Is Enabled.

eSilicon’s Mike Gianfagna observes that building the systems that power machine learning is an immensely complex task, in A Learning Machine For Machine Learning.

ARM’s Bob Monkman digs into collaboration as a way of helping make Network Functions Virtualization more efficient, in Open-Source NFV.