Top Stories
Power Optimization Strategies Widen
Different markets are heading in different directions, raising questions about whether the chip industry can effectively respond to all of those demands.
System-Level Power Modeling Takes Root
Why modeling power much earlier has suddenly become so critical for so many applications.
Is Power Verification An Oxymoron?
Verification implies comparison against an expected result, but the industry has yet to define how this works for power. How are power bugs found?
Videos
Tech Talk: HBM Vs. GDDR6
A look at two different memory options, and the pros and cons of each.
Tech Talk: Shrink Vs. Package
Tradeoffs between putting everything onto a single chip and different advanced packaging options.
Blogs
Editor In Chief Ed Sperling contends that new compute models will require significant improvements in both speed and efficiency, in Higher Performance, Lower Power Everywhere.
Fraunhofer’s Christoph Sohrmann observes that demand for analog electronics is growing, making it increasingly important to predict future scaling problems, in Multiphysics Challenges For EDA Tools.
Rambus’ Frank Ferro points to bandwidth, not compute power, as the big bottleneck in many AI applications, in Deep Learning Neural Networks Drive Demands On Memory Bandwidth.
ANSYS’ Annapoorna Krishnaswamy explains why it’s so important to model self-heat effects and junction temperature variation, in Early Chip-Package-System Thermal Analysis.
Mentor’s Srinivas Velivala finds that for effective design rule checking, designers need to optimize set-up and documentation in addition to debugging, in Optimizing Your DRC Debug Can Reap Big Productivity Gains.
Synopsys’ Gordon Cooper argues that advances in neural networks, coupled with rapidly improving cameras and functional safety requirements, require changing how automotive systems are designed, in Developing ASIL-Ready SoCs For Self-Driving Cars.
Cadence’s Dave Pursley examines the shift from high-power, high-performance to low-power, high-performance, in Where The Rubber Hits The Road: Implementing Machine Learning On Silicon.
Arm’s Sriram Ragunathan shows how advances in smartphone SoCs are boosting notebook PC capabilities, in The Future Of Mobile PC Is Here.
