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» Modeling Context-Aware Distributed Knowledge
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 6 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
WOMPAT
2001
Springer
15 years 4 months ago
A Study of Implicit Data Distribution Methods for OpenMP Using the SPEC Benchmarks
In contrast to the common belief that OpenMP requires data-parallel extensions to scale well on architectures with non-uniform memory access latency, recent work has shown that it ...
Dimitrios S. Nikolopoulos, Eduard Ayguadé
100
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PPOPP
2010
ACM
15 years 9 months ago
Symbolic prefetching in transactional distributed shared memory
We present a static analysis for the automatic generation of symbolic prefetches in a transactional distributed shared memory. A symbolic prefetch specifies the first object to be...
Alokika Dash, Brian Demsky
VLDB
2004
ACM
103views Database» more  VLDB 2004»
15 years 5 months ago
Distributed Set Expression Cardinality Estimation
We consider the problem of estimating set-expression cardinality in a distributed streaming environment where rapid update streams originating at remote sites are continually tran...
Abhinandan Das, Sumit Ganguly, Minos N. Garofalaki...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 3 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...