Density-Based Clustering Using Graphics Processors

Download Now
Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
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 tasks but can also be used for general numeric and symbolic computation tasks. As major advantage GPUs provide extremely high parallelism combined with a high bandwidth in memory transfer at low cost. The authors want to exploit these advantages in density-based clustering, an important paradigm in clustering since typical algorithms of this category are noise and outlier robust and search for clusters of an arbitrary shape in metric and vector spaces.
Download Now

Find By Topic