SENSIM
An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems
Prithvish Nembhani (IMEC Nederland)
Kanishkan Vadivel (IMEC Nederland)
Guangzhi Tang (IMEC Nederland)
Mohammad Tahghighi (IMEC Nederland)
Gert Jan Van Schaik (IMEC Nederland)
Manolis Sifalakis (IMEC Nederland)
Zaid Al-Ars (TU Delft - Computer Engineering)
Amirreza Yousefzadeh (University of Twente)
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Abstract
In this paper, we present SENSIM, which is an open-source simulator designed specifically for the SENECA neuromorphic processor. This simulator is unique in that it combines features from both hardware-specific and hardware-agnostic spiking neural network simulators, resulting in a hybrid event-driven and time-step-driven simulation approach. This allows for flexibility between accuracy and speed during different stages of simulation. Our work highlights the open-source SENSIM platform, which enables the mapping of large-scale SNN/DNN models to the SENECA cores, as well as the benchmarking of crucial KPIs such as power and latency estimations.