Author's Latest Posts


Can ML Help Verification? Maybe


Functional verification produces an enormous amount of data that could be used to train a machine learning system, but it's not always clear which data is useful or whether it can help. The challenge with ML is understanding when and where to use it, and how to integrate it with other tools and approaches. With a big enough hammer, it is tempting to call everything a nail, and just throwing ... » read more

How Mature Are Verification Methodologies?


Semiconductor Engineering sat down to discuss differences between hardware and software verification and changes and challenges facing the chip industry, with Larry Lapides, vice president of sales for Imperas Software; Mike Thompson, director of engineering for the verification task group at OpenHW; Paul Graykowski, technical marketing manager for Arteris IP; Shantanu Ganguly, vice president o... » read more

Rethinking Machine Learning For Power


The power consumed by machine learning is exploding, and while advances are being made in reducing the power consumed by them, model sizes and training sets are increasing even faster. Even with the introduction of fabrication technology advances, specialized architectures, and the application of optimization techniques, the trend is disturbing. Couple that with the explosion in edge devices... » read more

The Next Incarnation Of EDA


The EDA industry has incrementally addressed issues as they arise in the design of electronic systems, but is there about to be a disruption? Academia is certainly seeing that as a possibility, but not all of them see it happening for the same reason. The academic community questioned the future of EDA at the recent Design Automation Conference. Rather than EDA as we know it going away, they... » read more

Learning How To Forget


There has been a lot of talk recently about the right to be forgotten, or data privacy rights. These require companies that hold data about us to remove it when properly requested. This might be data that was collected as we browse the Internet, or from online shopping. Or perhaps it's collected as we drive our cars past cameras, or GPS tracking of our cellphones, or many other ways – some of... » read more

Verification Scorecard: How Well Is The Industry Doing?


Semiconductor Engineering sat down to discuss how well verification tools and methodologies have been keeping up with demand, with Larry Lapides, vice president of sales for Imperas Software; Mike Thompson, director of engineering for the verification task group at OpenHW; Paul Graykowski, technical marketing manager for Arteris IP; Shantanu Ganguly, vice president of product marketing at Caden... » read more

AI Power Consumption Exploding


Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processin... » read more

Cryogenic CMOS Becomes Cool


Cryogenic CMOS is a technology on the cusp, promising higher performance and lower power with no change in fabrication technology. The question now is whether it becomes viable and mainstream. Technologies often appear to be just on the horizon, not quite making it, but never too far out of sight. That's usually because some issue plagues it, and the incentive is not big enough to solve the ... » read more

ML And UVM Share Same Flaws


A number of people must be scratching their heads over what UVM and machine learning (ML) have in common, such that they can be described as having the same flaws. In both cases, it is a flaw of omission in some sense. Let's start with ML, and in particular, object recognition. A decade ago, Alexnet, coupled with GPUs, managed to beat all of the object detection systems that relied on tradit... » read more

Customizing Processors


The design, verification, and implementation of a processor is the core competence of some companies, but others just want to whip up a small processor as quickly and cheaply as possible. What tools and options exist? Processors range from very small, simple cores that are deeply embedded into products to those operating at the highest possible clock speeds and throughputs in data centers. I... » read more

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