2567

Accelerating evolutionary computation with graphics processing units

Wolfgang Banzhaf, Simon Harding
Memorial University, St John’s, NF, Canada
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference, GECCO ’09

@conference{banzhaf2009accelerating,

   title={Accelerating evolutionary computation with graphics processing units},

   author={Banzhaf, W. and Harding, S.},

   booktitle={Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers},

   pages={3237–3286},

   year={2009},

   organization={ACM}

}

Source Source   

787

views

Graphics Processing Units (GPUs) have become a major source of computational power for numerical applications. Originally designed for application of time-consuming graphics operations, GPUs are stream processors that implement the SIMD paradigm. Modern programming tools allow developers to access the parallelism of the GPU in a flexible and convenient way, hiding many low level details from the user. In this tutorial we shall provide a gentle introduction of how to put GPUs to good use with Evolutionary Computation.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: