Analog In-Network Computing through Memristor-based Match-Compute Processing
Saad Saleh,
Anouk S. Goossens,
Sunny Shu
et al.
Abstract:Current network functions consume a significant amount of energy and lack the capacity to support more expressive learning models like neuromorphic functions. The major reason is the underlying transistor-based components that require continuous energy-intensive data movements between the storage and computational units. In this research, we propose the use of a novel component, called Memristor, which can colocalize computation and storage, and provide computational capabilities. Building on memristors, we pr… Show more
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