2 0 0 8 ) 0 2 4 GPU computing for 2-d spin systems : CUDA vs OpenGL

@inproceedings{Anselmi2008200,
  title={2 0 0 8 ) 0 2 4 GPU computing for 2-d spin systems : CUDA vs OpenGL},
  author={Viola Anselmi and Francesco Di Renzo},
  year={2008}
}
In recent years the more and more powerful GPU’s available on the PC market have attracted attention as a cost effective solution for parallel (SIMD) computing. CUDA is a solid evidence of the attention that the major companies are devoting to the field. CUDA is a hardware and software architecture developed by Nvidia for computing on the GPU. It qualifies as a friendly alternative to the approach to GPU computing that has been pioneered in the OpenGL environment. We discuss the application of… CONTINUE READING