AI and AC for a new computational age

Chip manufacturing gets more complex every year, and fundamental physics dampens our desire for continued scaling. The solutions to this problem often involve more precise modeling and intricate optimization strategies, across multiple modules in the Fab. It is clear that if there is a "law" that governs the annual increase in Fab computation, it has an exponent greater than Moore's Law ever did. Accelerated Computing (AC) helps solve this problem by drastically reducing the cost and energy required for these computations, thereby making possible previously prohibitive techniques and precision. On top of that, Artificial Intelligence (AI) methods, with their increasing ability to describe the physical world, have started to prove themselves in real world situations. This talk will describe the problem, some solutions, and give examples of how AC and AI are moving into production in advanced Fabs.