Industry Expert Blogs

Chips below 5nm are the fastest growing part of the semiconductor market, fueling today’s leading consumer devices and data centers. Not only are these devices getting smaller, but they’re also packed with greater functionality. Unfortunately, growing chip complexity is converging with shortages in technical talent, making it harder for companies to meet their aggressive market requirements.

The challenge is on for companies to drive greater efficiency and productivity into their organizations, and artificial intelligence (AI) has emerged as one way to do this. AI is already proving to be quite successful in helping to optimize designs to meet stringent power, performance, and area (PPA) targets. As global compute demand continues to outpace Moore’s law, companies need to figure out how to effectively leverage larger scale designs that are still viable and retarget them to similar process nodes that have available capacity, while taking advantage of the potential performance and power efficiency gains of a new node.

Such retargeting projects are often executed as a completely new project, with timelines and engineering resources matching those of the original project. The time and effort required has been impacting time to market, cost and, therefore, the viability of such product and business maneuvers.

Today, AI can make this chip design retargeting effort a more streamlined, cost-efficient reality.

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