#co-design-framework News & Analysis

Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication

Researchers present a unified co-design framework for neural network processors that integrates network training, hardware mapping, fabrication, and resource allocation as interoperable blocks. The framework treats uncertainty as an explicit, optimizable resource called Confidence alongside traditional metrics like cost and power, enabling modular improvements without restructuring the entire pipeline.