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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 22 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
ICCV
2005
IEEE
16 years 6 days ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
IPPS
2003
IEEE
15 years 12 months ago
SPMD Image Processing on Beowulf Clusters: Directives and Libraries
Most image processing algorithms can be parallelized by splitting parallel loops and by using very few communication patterns. Code parallelization using MPI still involves much p...
Paulo F. Oliveira, J. M. Hans du Buf
IEEEPACT
2002
IEEE
15 years 11 months ago
Effective Compilation Support for Variable Instruction Set Architecture
Traditional compilers perform their code generation tasks based on a fixed, pre-determined instruction set. This paper describes the implementation of a compiler that determines ...
Jack Liu, Timothy Kong, Fred C. Chow
IEEEPACT
1998
IEEE
15 years 10 months ago
Data Dependence Analysis of Assembly Code
Determination of data dependences is a task typically performed with high-level language source code in today's optimizing and parallelizing compilers. Very little work has b...
Wolfram Amme, Peter Braun, Eberhard Zehendner, Fra...