Mixed-precision arithmetic

SEADA methodology optimizes mixed-precision DNNs on multi-precision architectures

Researchers have developed SEADA, a novel methodology for optimizing deep neural networks (DNNs) on multi-precision spatial architectures. This approach addresses challenges in mapping mixed-precision networks by provid…