Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
This work provides a tool for researchers and engineers working with SNNs, offering interactive simulation capabilities, though it is incremental as it builds on existing simulation concepts.
The authors tackled the challenge of understanding and utilizing Spiking Neural Networks (SNNs) by developing RAVSim, a novel runtime simulator that allows users to interact with and modify SNN models during execution, addressing a gap in existing tools.
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.