2019

When it comes to using AI, look for problems that have rules. If there are rules that enable people to solve the problem, that helps a lot.

The problem with verifying today’s designs is that we have to deal with systems that are inherently unverifiable.

It just makes sense that we will find a lot of applications in which we can use the power of AI to improve our processes and build chips faster.

It just makes sense that we will find a lot of applications in which we can use the power of AI to improve our processes and build chips faster.

The first part of this article describes the advantages of the virtual mode over ICE. The second details a verification strategy, Veloce VirtuaLAB, built on top of the virtual mode. Three test cases will then show the benefits of Veloce VirtuaLAB.

In a recent talk on deep learning, BabbleLabs CEO Chris Rowen said, “I think of it as the construction of a complex numerical model that mimics the behavior of an even more complex but hidden system. The hidden system in question is often the brain.”

Silicon system design with deep learning has the same challenges with other complex system-on-chip-based designs, only more so.