gKDE
A multi-GPU code for data-intensive kernel density estimation (KDE). Spatial computational domain is first estimated for KDE. Then the study area is decompose into sub-regions through an adaptive partitioning approach. Each sub-region is processed by a GPU node. These GPU nodes are communicated through massage passing interface (MPI).
Download
- Download from CyberGIS Toolkit source package
