Using general-purpose computing on graphics processing units (GPGPU) to accelerate the ordinary kriging algorithm
Ordinary kriging (OK) is a frequently used interpolation method. Weights calculation and points estimation are time-consuming step in OK. Matrix inverse is the main operation in this OK step. Matrix inverse CUDA parallelization is enough to reduce the execution time of OK. Suitable array dimensions for using the parallelized code have been determined.
kriging parallelization graphic processing units (gpu) general-purpose computation with gpus (gpgpu) compute unified device architecture (cuda)