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PPSN
2004
Springer
14 years 2 months ago
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
Krzysztof Wloch, Peter J. Bentley
IMCSIT
2010
13 years 3 months ago
Multi-level Parallelization with Parallel Computational Services in BeesyCluster
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
Pawel Czarnul
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 9 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
IPPS
2008
IEEE
14 years 3 months ago
A study of master-slave approaches to parallelize NSGA-II
Many of the optimization problems from the real world are multiobjective in nature, and the reference algorithm for multiobjective optimization is NSGA-II. Frequently, these probl...
Juan José Durillo, Antonio J. Nebro, Franci...
MICRO
1992
IEEE
124views Hardware» more  MICRO 1992»
14 years 26 days ago
A shape matching approach for scheduling fine-grained parallelism
- We present a compilation technique for scheduling parallelism on fine grained asynchronous MIMD systems. The shape scheduling algorithm is introduced that utilizes the flexibilit...
Brian A. Malloy, Rajiv Gupta, Mary Lou Soffa