A new organization for a perceptron-based branch predictor and its FPGA implementation

Oswaldo Cadenas, Graham Megson, Daniel Jones

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

An unaltered rearrangement of the original computation of a neural based predictor at the algorithmic level is introduced as a new organization. Its FPGA implementation generates circuits that are 1.7 faster than a direct implementation of the original algorithm. This faster clock rate allows to implement predictors with longer history lengths using the nearly the same hardware budget.

Original languageEnglish
Title of host publicationProceedings - IEEE Computer Society Annual Symposium on VLSI - New Frontiers in VLSI Design
EditorsA. Smailagic, N. Ranganathan
Pages305-306
Number of pages2
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventIEEE Computer Society Annual Symposium on VLSI - New Frontiers in VLSI Design - Tampa, FL, United States
Duration: 11 May 200512 May 2005

Publication series

NameProceedings - IEEE Computer Society Annual Symposium on VLSI - New Frontiers in VLSI

Conference

ConferenceIEEE Computer Society Annual Symposium on VLSI - New Frontiers in VLSI Design
Country/TerritoryUnited States
CityTampa, FL
Period11/05/0512/05/05

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