A human brain weighs ∼1.5kg, and is made up of 100 billion neurons connected via an incredibly dense and complex neuron network. The network contains 4km of wire in every cubic millimeter, offering >100-million MIPS computing capability and <20W power. The neuromorphic computing model inspired by brain structure obtained the increased attentions from VLSI design and EDA communities following the recent device inventions like memristor, nanotube/wire, and CMOS/molecular circuitries. The three invited papers introduce the grand challenges of neuromorphic computing algorithm, system and architecture; discuss the-state-of-the-art neuromorphic systems, design methodologies, computing modeling, and applications, as well as and the implementation opportunities on System-on-Chip platform.
['Yiran Chen', 'Qing Wu']
Neuromorphic computing: A SoC scaling path for the next decades