Real-Time Monitoring Tool for SNN Hardware Architecture

Abstract:

Spiking Neural Networks (SNN) are characterized by their brain-inspired biological computing paradigm. Large-scale hardware platforms are reported, where computational cost, connectivity, number of neurons and synapses, speed, configurability, and monitoring restriction, are some of the main concerns. Analog approaches are limited by their low flexibility and the amount of time and resources spent on prototype development design and implementation. On the other hand, the digital SNN platform based on System on Chip (SoC) offers the advantage of the Field-programmable Gate Array (FPGA) technology, along with a powerful Advanced RISC Machine (ARM) processor in the same chip, that can be used for peripheral control and high-bandwidth direct memory access. This paper presents a monitoring tool developed in Python that receives spike data from a large-scale SNN architecture called Hardware …

Año de publicación:

2023

Keywords:

Fuente:

google