This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the t...
Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible costeffective enhancement to high-performance systems. To date, mo...
Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santo...
Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...