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

Greener Design Verification

Chip designs are optimized for lower cost, better performance, or lower power. The same cannot be said about verification, where today very little effort is spent on reducing execution cost, run time, or power consumption. Admittedly, one is a per unit cost while the other is a development cost, but could the industry be doing more to make development greener? It can take days for regression... » read more