Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures

Autor:	Sanaullah, Koravuna, Shamini, Rückert, Ulrich, Jungeblut, Thorsten
Rok vydání:	2024
Předmět:	Computer Science - Neural and Evolutionary Computing Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
DOI:	10.13140/RG.2.2.26328.88324
Popis:	With the motivation and the difficulties that currently exist in comprehending and utilizing the promising features of SNNs, we proposed a novel run-time multi-core architecture-based simulator called "RAVSim" (Runtime Analysis and Visualization Simulator), a cutting-edge SNN simulator, developed using LabVIEW and it is publicly available on their website as an official module. RAVSim is a runtime virtual simulation environment tool that enables the user to interact with the model, observe its behavior of output concentration, and modify the set of parametric values at any time while the simulation is in execution. Recently some popular tools have been presented, but we believe that none of the tools allow users to interact with the model simulation in run time. Comment: Abstract Presentation in 2023 Neuro-Inspired Computing Elements (NICE) Conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2403.12061 Zobrazit plný text záznamu View this record from Arxiv