A simple yet accurate neural branch predictor.
dc.contributor.author | Hunt, S. | en_US |
dc.contributor.author | Egan, C. | en_US |
dc.contributor.author | Shafarenko, A. | en_US |
dc.date.accessioned | 2007-10-02T11:33:36Z | |
dc.date.available | 2007-10-02T11:33:36Z | |
dc.date.issued | 2003 | en_US |
dc.identifier.citation | In: Procs of AIA 2003: Artificial Intelligence and Applications | en_US |
dc.identifier.other | 900875 | en_US |
dc.identifier.uri | http://hdl.handle.net/2299/784 | |
dc.description.abstract | In this paper, we examine the application of simple neural processing elements to the problem of dynamic branch prediction in high-performance processors. A single neural network model is considered: the Perceptron. We demonstrate that a predictor based on the Perceptron can achieve a prediction accuracy in excess of that given by conventional Two-level Adaptive Predictors and suggest that neural predictors merit further investigation. | en |
dc.format.extent | 121357 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | ACTA Press | en_US |
dc.title | A simple yet accurate neural branch predictor. | en_US |
dc.type | Conference paper | en_US |
herts.preservation.rarelyaccessed | true |