PURPOSE Fuzzy connectedness method (FC) is an effective method for extracting fuzzy objects from medical images. However, when FC is applied to large medical image datasets, its running time will be greatly expensive. Therefore, a parallel CUDA version of FC (CUDA-kFOE) was proposed by Ying et al. to accelerate the original FC. Unfortunately, CUDA-kFOE does not consider the edges between GPU bl...

This work assesses the effectiveness of heterogeneous computing based on a CUDA implementation for real-time ego-lane detection using typical low-cost embedded computer. We propose and evaluate CUDA-optimized algorithm approach extraction features from an aerial perspective image. The method incorporates well-known algorithms optimized to achieve very efficient solution with high rates combines...

As an established spatial analytical tool, Geographically Weighted Regression (GWR) has been applied across a variety of disciplines. However, its usage can be challenging for large datasets, which are increasingly prevalent in today’s digital world. In this study, we propose two high-performance R solutions GWR via Multi-core Parallel (MP) and Compute Unified Device Architecture (CUDA) techniq...