K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
SIMT (Single-Instruction Multiple-Thread) is an emerging programming paradigm for high-performance computational accelerators, pioneered in current and next generation GPUs and hy...
Jay L. T. Cornwall, Lee W. Howes, Paul H. J. Kelly...
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
This paper provides an evaluation of SGI® RASC™ RC100 technology from a computational science software developer’s perspective. A brute force implementation of a two-point an...
Volodymyr V. Kindratenko, Robert J. Brunner, Adam ...
Abstract. Large-scale scientific investigation often includes collaborative data exploration among geographically distributed researchers. The tools used for this exploration typi...