Mohamed El-Hafci

A hardware-grounded energy taxonomy for comparing deep and Spiking Neural Network inference on edge platforms

A unified taxonomy that decomposes inference energy into seven contributions: computation Ecompute, memory access Ememory, internal state Estate, temporal processing Etemporal, activation Eactivation, static leakage Eleakage, and clock distribution Eclock is synthesized.