Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft Computing, 2012 - Springer
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

Fast parallel genetic programming: multi-core CPU versus many-core GPU.

D Chitty - Soft Computing-A Fusion of Foundations …, 2012 - search.ebscohost.com
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft Computing, 2012 - infona.pl
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft Computing-A Fusion of Foundations …, 2012 - dl.acm.org
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft Computing, 2012 - search.proquest.com
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

[PDF][PDF] Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - 2012 - Citeseer
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …

[引用][C] Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft Computing-A Fusion of Foundations … - Springer

[引用][C] Fast parallel genetic programming: multi-core CPU versus many-core GPU

DM Chitty - Soft computing, 2012 - Springer