Top Stories

Debug Issues Grow At New Nodes
Finding the root cause of problems becoming more difficult as systemic complexity rises; methodology and different approaches play an increasingly important role.

When Bugs Escape
The ability to find bugs has not kept up with the growing complexity of systems. Bugs are more likely to end up in products than ever before.

Where ML Works Best
Cadence’s president talks about machine learning inside and outside of EDA tools, and how to measure the benefits.

Blogs

Editor In Chief Ed Sperling looks at why tool and IP vendors suddenly have gone quiet about an explosion of possible interactions, in Solving Systemic Complexity.

Technology Editor Brian Bailey sees big upside in the end of Moore’s Law, in A New Era For EDA.

OneSpin’s Sergio Marchese contends that development practices for safety-critical designs have a long way to go, in Functional Safety: Art Or Science?

Cadence’s Frank Schirrmeister points to new opportunities in the convergence of technology, architecture and application specificity, in The Future Is Bright: DARPA Is Driving Electronic Resurgence.

eSilicon’s Mike Gianfagna finds it increasingly difficult to choose between an expanding array of events tied to new markets, in Technical Conferences: The Insurmountable Opportunity.

Synopsys’ Ruben Molina argues that timing models need to be rethought for more precise static timing analysis with less uncertainty, in “Good Enough For Government Work?” Not Anymore.

Mentor’s Mike Fingeroff explains why traditional RTL design flows aren’t a good fit for rapidly changing computer vision requirements, in Synthesizing Computer Vision Designs To Hardware.

Aldec’s Vatsal Choksi pins the value of high-performance computing applications on how fast data can be transferred, in PCIe In High-Performance FPGAs.