Exploring scaling efficiency of intel loihi neuromorphic processor
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
Abstract
In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity scheme change. By analyzing these relationships, our study aims to shed light on the intricate interplay between SNN features and the efficiency of neuromorphic systems as they scale up. The findings presented in this paper are expected to enhance the comprehension of scaling efficiency in neuromorphic hardware, providing valuable insights for researchers and developers in optimizing the performance of large-scale SNNs on neuromorphic architectures.
Source :
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Date :
2023
Publisher :
IEEE
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