A practical low-power memristor-based analog neural branch predictor

ISLPED 2013
Pages: 175 - 180
Published: Sep 4, 2013
Abstract
Recently, the discovery of memristor brought the promise of high density, low energy, and combined memory/arithmetic capability into computing. This paper demonstrates a practical neural branch predictor based on memristor. By using analog computation techniques, as well as exploiting the accuracy tolerance of branch prediction, our design is able to efficiently realize a neural prediction algorithm. Compared to the digital counterpart, our...
Paper Details
Title
A practical low-power memristor-based analog neural branch predictor
Published Date
Sep 4, 2013
Journal
Pages
175 - 180
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