Asynchronous Neuromorphic Optimization with Lava
<|reference_start|>Asynchronous Neuromorphic Optimization with Lava: 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.<|reference_end|>
@article{snyder2024asynchronous,
    title={Asynchronous Neuromorphic Optimization with Lava},
    author={Shay Snyder (1), Sumedh R. Risbud (2), and Maryam Parsa (1) ((1)
  George Mason University, (2) Intel Labs)},
    journal={arXiv preprint arXiv:2404.17052},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.17052},
    primaryClass={cs.ET}
}