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Science / Computational statistics / Cybernetics / Computing / Artificial neural network / Trace scheduling / Prediction / Central processing unit / Alpha 21264 / Computational neuroscience / Neural networks / Branch predictor


STATIC AND DYNAMIC BRANCH PREDICTION USING NEURAL NETWORKS Marius SBERA*, Lucian N. VINTAN**, Adrian FLOREA** * “S.C. Consultens Informationstechnik S.R.L.” Sibiu, ROMANIA, E-mail: [removed] ** “Lucian Blaga
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Document Date: 2010-05-17 01:48:51


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City

Sibiu / Perm / Warsaw / Bucharest / /

Company

P.S.P. / Neural Networks / MIT Press / L S .P. / L P.S .P. / S.I. Gallant - Neural Networks / Oracle / Expert Systems / S.C. Consultens Informationstechnik S.R.L. / /

Country

Poland / Germany / Romania / United Kingdom / /

/

Facility

Karlsruhe University / University of Hertfordshire / University of Sibiu / /

IndustryTerm

back propagation algorithm / Software methods / static network / developed software / /

MarketIndex

Static Features Set / /

Organization

MIT / Romanian Ministry of Education / University of Sibiu / Romanian Academy Publishing House / University of Hertfordshire / Karlsruhe University / Computer Science Department / Stanford / /

Person

Theo Ungerer / Gordon B. Steven / Colin Egan / /

Position

static scheduler / Professor / feed-forward / programmer / /

Product

Marius SBERA* / /

ProgrammingLanguage

C / /

PublishedMedium

The Computer Journal / /

Technology

Alpha / DSD / neural network / Instruction Level Parallel Processors / 21164 processor / Simulation / back propagation algorithm / HSA processor / /

SocialTag