• Corpus ID: 43191973

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

@inproceedings{Foster2012GPUAO,
  title={GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance},
  author={D. L. Foster},
  year={2012}
}
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This paper describes the challenges and design choices involved in parallelizing a hybrid of Genetic Algorithm (GA) and Local Search (LS) to solve MAXimum SATisfiability (MAX-SAT) problem on a state-of-the-art nVidia Tesla GPU usingnVidia Compute Unified Device Architecture (CUDA).
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A new paradigm for designing logic circuits with concurrent error detection (CED) based on partial duplication is described, capable of reducing the soft error failure rate significantly with a fraction of the overhead required for full duplication.