most citedCompiling Spiking Neural Networks to Neuromorphic Hardware

47 citations · 52 across the 5 of their papers we have counts for

collaborators

1 paper

cs.ET2019

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing

Adarsha Balaji, Shihao Song, Anup Das +4

Neuromorphic hardware with non-volatile memory (NVM) can implement machine learning workload in an energy-efficient manner. Unfortunately, certain NVMs such as phase change memory…