• 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={David L. Foster},
  year={2012}
}
worldcomp-proceedings.com

Figures and Tables from this paper

References

SHOWING 1-2 OF 2 REFERENCES
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework
TLDR
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).
Cost-effective approach for reducing soft error failure rate in logic circuits
  • K. Mohanram, N. Touba
  • Computer Science
    International Test Conference, 2003. Proceedings. ITC 2003.
  • 2003
TLDR
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.