Solving a steady-state pde using spiking networks and neuromorphic hardware.
Abstract not provided.
Smith, John Darby↗
Engineering topics
Reeder, Leah Evelyn
Publications and source records attributed to Reeder, Leah Evelyn.
The Future of Computing: Integrating Scientific Computation on Neuromorphic Systems
Neuromorphic computing is known for its integration of algorithms and hardware elements that are inspired by the brain. Conventionally, this nontraditional method of computing is used for many neural or learning inspired applications. Unfortunately, this has resulted in the field of neuromorphic computing being relatively narrow in scope. In this paper we discuss two research areas actively trying to widen the impact of neuromorphic systems. The first is Fugu, a high-level programming interface designed to bridge the gap between general computer scientists and those who specialize in neuromorphic areas. The second aims to map classical scientific computing problems onto these frameworks through the example of random walks. This elucidates a class of scientific applications that are conducive to neuromorphic algorithms.
97 MATHEMATICS AND COMPUTING↗