The evolutionary algorithms can be considered as a powerful and interesting technique for solving large kinds of control problems. However, the great disadvantage of the evolutiona...
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Modern applications demand support for a large number of clients and require large scale storage subsystems. This paper presents a theoretical model of prefetching and caching of s...
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...