Publications Details

Generic Spiking Architecture (GenSA)

Rothganger, Fredrick R.; Rodrigues, Arun

Neuromorphic devices are a rapidly growing area of interest in industry, with machines in production by IBM and Intel, among others. These devices promise to reduce size, weight and power (SWaP) costs while increasing resilience and facilitating high- performance computing (HPC). Each device will favor some set of algorithms, but this relationship has not been thoroughly studied. The field of neuromorphic computing is so new that existing devices were designed with merely estimated use-cases in mind. To better understand the fit between neuromorphic algorithms and machines, a simulated machine can be configured to any point in the design space. This will identify better choices of devices, and perhaps guide the market in new directions. The design of a generic spiking machine generalizes existing examples while also looking forward to devices that haven't been built yet. Each parameter is specified, along the approach/mechanism by which the relevant component is implemented in the simulator.