Cadence Selected for DARPA ERI Machine Learning Contract

Cadence MAGESTIC program includes machine learning experts at Carnegie Mellon University and NVIDIA to drive development of intelligent chip, package and board design flows

The MAGESTIC program aims to address:

•  Advancing the state of the art in machine learning to develop algorithms that optimize performance
• Extending support for advanced CMOS process nodes including 7nm and below, as well as larger process nodes
• Automating the routing and tuning of devices to improve reliability, circuit performance, and resilience
• Demonstrating improved power, performance and area (PPA) utilizing machine learning, analytics, and optimization
• Staging the introductions of the technology, allowing the system to learn from the users and allowing users to gain an understanding of how to best leverage the tools to achieve desired results.

The program also will extend Cadence’s work in employing cloud-based design systems to handle large-scale distributed processing to speed design efforts.