Title :
Scalable event routing in hierarchical neural array architecture with global synaptic connectivity
Author :
Joshi, S. ; Deiss, S. ; Arnold, M. ; Jongkil Park ; Yu, T. ; Cauwenberghs, G.
Author_Institution :
Dept. of Electr. & Comput. Eng., UC San Diego, San Diego, CA, USA
Abstract :
An asynchronous communication scheme for scalable routing of spike events in large-scale neuromorphic hardware is presented. The routing scheme extends the Address-Event Representation (AER) protocol for spike event communication to a modular, hierarchical architecture supporting efficient implementation of global synaptic inter-connectivity across a cellular matrix of message parsing axonal relay nodes at varying spatial scales. This paper presents a probabilistic framework for analyzing trade-offs in throughput and latency of synaptic communication as a function of load and geometry, and simulation results verifying the statistics of traffic flow across the architecture.
Keywords :
message passing; microprocessor chips; network routing; neural net architecture; protocols; address-event representation protocol; asynchronous communication scheme; cellular matrix; global synaptic connectivity; global synaptic inter-connectivity; hierarchical architecture; hierarchical neural array architecture; large-scale neuromorphic hardware; message parsing axonal relay nodes; probabilistic framework; scalable spike event routing; traffic flow; Asynchronous communication; Delay; Geometry; Hardware; Large-scale systems; Load flow analysis; Neuromorphics; Relays; Routing protocols; Throughput;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
DOI :
10.1109/CNNA.2010.5430296