Speeding Up Evolutionary Learning Algorithms using GPUs
Alberto Cano, Amelia Zafra Gómez, Sebastián Ventura · 2010
This paper propose a multithreaded Genetic Programming classification evaluation model using NVIDIA CUDA GPUs to reduce the computational time due to the poor perfor-mance in large problems. Two different clas-sification algorithms are benchmarked using UCI Machine Learning data sets. Experi-mental results compare the performance us-ing single and multithreaded Java, C and GPU code and show the efficiency far better obtained by our proposal.