Oral #7: Ian Lavin – Online learning with Spiking Neural Networks for Data Prefetching

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Faculty mentor: Rajeev Balasubramonian

Our research is focused on utilizing Spiking Neural Networks (SNNs) for data prefetching on the CPU.
SNNs apply Hebbian Learning to neuron communication, utilizing a unique algorithm for weight adjustment. When compared to Artificial Neural Networks, these differences come with their own set of strengths that we want to leverage to design an improved data prefetcher.

Watch my research presentation below.
Questions or comments? Contact me at: u1206789@utah.edu

View my Presentation Slides HERE

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