Speeding Up Matching in Learning Classifier Systems Using CUDA

  title={Speeding Up Matching in Learning Classifier Systems Using CUDA},
  author={Pier Luca Lanzi and Daniele Loiacono},
We investigate the use of NVIDIA’s Compute Unified Device Architecture (CUDA) to speed up matching in classifier systems. We compare CUDA-based matching and CPU-based matching on (i) real inputs using interval-based conditions and on (ii) binary inputs using ternary conditions. Our results show that on small problems, due to the memory transfer overhead introduced by CUDA, matching is faster when performed using the CPU. As the problem size increases, CUDA-based matching can outperform CPU… CONTINUE READING


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