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HPCA
1999
IEEE
13 years 12 months ago
Improving CC-NUMA Performance Using Instruction-Based Prediction
We propose Instruction-based Prediction as a means to optimize directory-based cache coherent NUMA shared-memory. Instruction-based prediction is based on observing the behavior o...
Stefanos Kaxiras, James R. Goodman
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
WSC
2004
13 years 9 months ago
Towards Adaptive Caching for Parallel and Discrete Event Simulation
We investigate factors that impact the effectiveness of caching to speed up discrete event simulation. Walsh and Sirer have shown that a variant of function caching (staged simula...
Abhishek Chugh, Maria Hybinette
ICCAD
2005
IEEE
131views Hardware» more  ICCAD 2005»
14 years 4 months ago
Code restructuring for improving cache performance of MPSoCs
— One of the critical goals in code optimization for MPSoC architectures is to minimize the number of off-chip memory accesses. This is because such accesses can be extremely cos...
Guilin Chen, Mahmut T. Kandemir
FLAIRS
2008
13 years 10 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...