Fig. 2: Overview of KAN’s hardware architecture strategies. | Nature Communications

Fig. 2: Overview of KAN’s hardware architecture strategies.

From: Computing-in-memory architecture for Kolmogorov-Arnold networks based on tunable Gaussian-like memory cells

Fig. 2: Overview of KAN’s hardware architecture strategies.The alternative text for this image may have been generated using AI.

a Reference object and benchmark metrics for the hardware properties of KAN. b The bottlenecks encountered by the von Neumann and near-memory architectures in processing the computations of KAN, while the GMC-based architecture provides a reliable solution at the in-memory computing level. c The GMC ingeniously combines the Gaussian kernel provided by AAT with the parameterization capability of memristors, integrating the necessary physical foundation for the in-memory computing required by KAN.

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