In this paper, a novel parallelized implementation of rotation invariant texture classification using Heterogeneous Computing Platforms like CPU and Graphics Processing Unit (GPU) is proposed. A complete modeling of the LBP operator as well as its improvised versions of Complete …
April 23, 2013 by hgpu
Image processing algorithms present a necessary tool for various domains related to computer vision, such as video surveillance, medical imaging, pattern recognition, etc. However, these algorithms are hampered by their high consumption of both computing power and memory, which increase …
February 14, 2013 by hgpu
OpenCL platform provides unified development environment for various multicore processors. In this paper, we evaluate the OpenCL framework for application in pattern recognition. We have selected the most common algorithm for Artificial Neural Networks (ANN) training – the backpropagation algorithm …
November 21, 2012 by hgpu
In this paper we present a digital holographic microscope to track gold colloids in three dimensions. We report observations of 100nm gold particles in motion in water. The expected signal and the chosen method of reconstruction are described. We also …
October 28, 2012 by hgpu
We describe a pilot project for the use of GPUs in a real-time triggering application in the early trigger stages at the CERN NA62 experiment, and the results of the first field tests together with a prototype data acquisition (DAQ) …
October 14, 2012 by hgpu
BACKGROUND: The analysis of biological networks has become a major challenge due to the recent development of high-throughput techniques that are rapidly producing very large data sets. The exploding volumes of biological data are craving for extreme computational power and …
September 5, 2012 by hgpu
Scalable systems and services for preserving digital content became important technologies with increasing volumes of digitized data. This paper presents a new Braille converter service that is a sample implementation of scalable service for preserving digital content. The converter service …
August 26, 2012 by hgpu
Graph matching is one of the principal methods to formulate the correspondence between two set of points in computer vision and pattern recognition. Most formulations are based on the minimization of a difficult energy function which is known to be …
August 13, 2012 by hgpu
String matching is a classical problem in computer science. After the study of the Naive string search, Brute Force and the KMP algorithm, several advantages and disadvantages of the algorithms have been analyzed. Considering KMP in particular concept of parallelization …
August 4, 2012 by hgpu
Clustering involves partitioning a set of objects into subsets called clusters so that objects in the same cluster are similar according to some metric. Clustering is widely used in many fields like machine learning, data mining, pattern recognition and bioinformatics. …
July 28, 2012 by hgpu
As an approach to promoting whole-system synergy on a heterogeneous computing system, compilation of fine-grained SPMD-threaded code (e.g., GPU CUDA code) for multicore CPU has drawn some recent attentions. This paper concentrates on two important sources of inefficiency that limit …
May 6, 2012 by hgpu
Image processing and pattern recognition algorithms take more time for execution on a single core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. Most of …
March 2, 2012 by hgpu
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