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HPCA
2001
IEEE
14 years 5 months ago
Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...
ICCD
2002
IEEE
132views Hardware» more  ICCD 2002»
14 years 2 months ago
Applying Decay Strategies to Branch Predictors for Leakage Energy Savings
With technology advancing toward deep submicron, leakage energy is of increasing concern, especially for large onchip array structures such as caches and branch predictors. Recent...
Zhigang Hu, Philo Juang, Kevin Skadron, Douglas W....
BMCBI
2011
12 years 8 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...
ISCA
1998
IEEE
142views Hardware» more  ISCA 1998»
13 years 9 months ago
An Analysis of Correlation and Predictability: What Makes Two-Level Branch Predictors Work
Pipeline flushes due to branch mispredictions is one of the most serious problems facing the designer of a deeply pipelined, superscalar processor. Many branch predictors have bee...
Marius Evers, Sanjay J. Patel, Robert S. Chappell,...
INFORMATICALT
2007
95views more  INFORMATICALT 2007»
13 years 5 months ago
Neuro-IG: A Hybrid System for Selection and Elimination of Predictor Variables and non Relevant Individuals
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
Baghdad Atmani, Bouziane Beldjilali