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Asynchronous Neuromorphic Optimization with Lava
Published 25 Apr 2024 in cs.ET | (2404.17052v1)
Abstract: Performing optimization with event-based asynchronous neuromorphic systems presents significant challenges. Intel's neuromorphic computing framework, Lava, offers an abstract application programming interface designed for constructing event-based computational graphs. In this study, we introduce a novel framework tailored for asynchronous Bayesian optimization that is also compatible with Loihi 2. We showcase the capability of our asynchronous optimization framework by connecting it with a graph-based satellite scheduling problem running on physical Loihi 2 hardware.
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- Intel Labs. 2024. Lava Software Framework. https://lava-nc.org Accessed: 2024-3-16.
- Neuromorphic Bayesian Optimization in Lava. In Proceedings of the 2023 International Conference on Neuromorphic Systems (Santa Fe, NM USA) (ICONS ’23). Association for Computing Machinery, New York, NY, USA, Article 9, 5 pages. https://doi.org/10.1145/3589737.3605998
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