Biologically Plausible Learning on Neuromorphic Hardware Architectures

no code implementations • 29 Dec 2022 • Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen

Using the benchmarking framework DNN+NeuroSim, we investigate the impact of hardware nonidealities and quantization on algorithm performance, as well as how network topologies and algorithm-level design choices can scale latency, energy and area consumption of a chip.

Benchmarking Quantization