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arXiv · 2404.17052

Asynchronous Neuromorphic Optimization with Lava

Shay Snyder·Sumedh R. Risbud·Maryam Parsa
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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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Shay Snyder, Sumedh R. Risbud, Maryam Parsa. 2024-04-25. Asynchronous Neuromorphic Optimization with Lava. https://arxiv.org/abs/2404.17052

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