Top Stories
The Next Incarnation Of EDA
Is there about to be a major disruption in the EDA industry, coupled to the emerging era of domain-specific architectures? Academia certainly thinks so.
How Climate Change Affects Data Centers
Unpredictable ambient temperatures are impacting data center architectures.
Verification Scorecard: How Well Is The Industry Doing?
The functional verification task keeps growing. How well is the industry responding to growing and changing demands?
Blogs
Technology Editor Brian Bailey warns that until learning systems are given the ability to forget, we need the reset button, and this is not sustainable, in Learning How To Forget.
Cadence’s Frank Schirrmeister looks back on past productivity improvements to see what can be learned for the path forward, in Chasing The Next Level Of Productivity.
Synopsys’ Manoj Chacko asks why ECO has become such a dominant factor in design signoff, in ECO Should Not Stand For Extended Challenge Order.
Renesas’ Marta Martínez Vázquez finds that two design parameters are critical to extending the range of a radar MMIC transceiver, in Radar For Automotive: How Far Can A Radar See?
Siemens’ Nermeen Hossam and John Ferguson examine the advantages of early design rule checking for selected rules and geometries, in Earlier SoC Design Exploration And Verification Gets Better Designs To Tapeout Faster.
Codasip’s Lauranne Choquin explains how to customize an existing design to create a unique processor tailored for specific applications, in Processor Design Automation To Drive Innovation And Foster Differentiation.
Sponsor White Papers
Power Methodology For Estimation And Optimization In The ASIC/SoC Flow
Optimizing power methodology to more quickly achieve power-per-watt goals.
Optimize 5G New Radio MIMO Test And Debug
Learn how to conduct quick and accurate MIMO testing with the UXR.
Timing Accuracy For ECPRI Fronthaul And Open RAN
Considerations in working with new network interfaces.
Machine Learning-Driven Full-Flow Chip Design Automation
Engineering teams can to become more productive using a reinforcement learning engine to meet the challenges of large and more complex system-on-chip (SoC) designs.
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