Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code

@article{Peredo2014TuningAH,
  title={Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code},
  author={Oscar Peredo and Juli{\'a}n M. Ortiz and Jos{\'e} R. Herrero and Cristobal Samaniego},
  journal={Parallel Computing},
  year={2014},
  volume={40},
  pages={144-158}
}
One of the main difficulties using multi-point statistical (MPS) simulation based on annealing techniques or genetic algorithms concerns the excessive amount of time and memory that must be spent in order to achieve convergence. In this work we propose code optimizations and parallelization schemes over a genetic-based MPS code with the aim of speeding up… CONTINUE READING