arxivcs.ARcs.AI2026-06-26
SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures
Leandro Fiorin, Marco Ronzani, Cristina Silvano
Mixed-precision computation has been introduced in deep neural networks (DNNs) as an effective approach to reduce latency, energy consumption, and memory footprint. However, efficiently mapping mixed-precision networks onto multi-precision spatial architectures poses several chal…