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Memristors for neural branch prediction
2013
Proceedings of the ACM International Conference on Computing Frontiers - CF '13
Memristors offer many potential advantages over more traditional memory-cell technologies, including the potential for extreme densities, and fast read times. Current devices, however, are plagued by problems of yield, and durability. We present a limit study of an aggressive neural network application that has a high update rate and a strict latency requirement, analog neural branch predictor. Of course, traditional analog neural network (ANN) implementations of branch predictors are not built
doi:10.1145/2482767.2482801
dblp:conf/cf/SaadeldeenFLHBSSC13
fatcat:j32fothnmnh7pjv3cqi2lqwb7e