12980
Jose M Gonzalez-Linares, Antonio Fuentes-Alventosa, Juan Gomez-Luna, Nicolas Guil
Data compression is the process of representing information in a compact form, in order to reduce the storage requirements and, hence, communication bandwidth. It has been one of the critical enabling technologies for the ongoing digital multimedia revolution for decades. In the variable-length encoding (VLE) compression method, most frequently occurring symbols are replaced by codes […]
View View   Download Download (PDF)   
Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff
Maximizing the performance potential of the modern day GPU architecture requires judicious utilization of available parallel resources. Although dramatic reductions can often be obtained through straightforward mappings, further performance improvements often require algorithmic redesigns to more closely exploit the target architecture. In this paper, we focus on efficient molecular simulations for the GPU and propose […]
View View   Download Download (PDF)   
H.K. Kim, H.J. Lee
A noise in digital image degrades the performance of image processing. These images are most often used in medical field for diagnosis and treatment. Thus, there is a huge demand for high quality images from the medical field. The current algorithms to process useable images are derived using Gaussian blur filter. However, using such isotropic […]
View View   Download Download (PDF)   
Lauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Wellington Santos Martins, Arlindo Rodrigues Galvao Filho, Clarimar Jose Coelho
This paper proposes a partial parallelization for the Successive Projections Algorithm (SPA), which is a variable selection technique designed for use with Multiple Linear Regression. This implementation is aimed at improving the computational efficiency of SPA, without changing the outcome of the algorithm. For this purpose, a new strategy of inverse matrix calculation is employed. […]
View View   Download Download (PDF)   
Youngsung Soh, Hadi Ashraf, Yongsuk Hae, Intaek Kim
Connected component labeling (CCL) is a mandatory step in image segmentation where each object in an image is identified and uniquely labeled. Sequential CCL is a time-consuming operation and thus is often implemented within parallel processing framework to reduce execution time. Several parallel CCL methods have been proposed in the literature. Among them are NSZ […]
View View   Download Download (PDF)   
Hyo Jong Lee, Hyeon Kyu Kim
Multi-core based high performance computing systems are available with a reasonable price. Parallel programming paradigm needs to be adjusted to an individual system. Parallel computing systems were compared in this paper. Electroencephalography signals were collected in order to measure performance of parallel computing for CPU and GPU based systems. A CPU based system showed better […]
View View   Download Download (PDF)   
Sergio M. Martin, Fernando G. Tinetti, Nicanor B. Casas, Graciela E. De Luca, Daniel A. Giulianelli
N-Body simulation algorithms are amongst the most commonly used within the field of scientific computing. Especially in computational astrophysics, they are used to simulate gravitational scenarios for solar systems or galactic collisions. Parallel versions of such N-Body algorithms have been extensively designed and optimized for multicore and distributed computing schemes. However, N-Body algorithms are still […]
View View   Download Download (PDF)   
Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes
Query-by-content by means of similarity search is a fundamental operation for applications that deal with multimedia data. For this kind of query it is meaningless to look for elements exactly equal to the one given as query. Instead, we need to measure dissimilarity between the query object and each database object. The metric space model […]
View View   Download Download (PDF)   
Anna Gelencser-Horvath, Gabor Janos Tornai, Andras Horvath, Gyorgy Cserey,
In this paper, we introduce a modified cellular particle filter (CPF) which we mapped on a graphics processing unit (GPU) architecture. We developed this filter adaptation using a state-of-the art CPF technique. Mapping this filter realization on a highly parallel architecture entailed a shift in the logical representation of the particles. In this process, the […]
View View   Download Download (PDF)   
G. Koutsoumpakis, I. Koutsoumpakis, A. Gounaris
Nowadays, the data to be processed by database systems has grown so large that any conventional, centralized technique is inadequate. At the same time, general purpose computation on GPU (GPGPU) recently has successfully drawn attention from the data management community due to its ability to achieve significant speed-ups at a small cost. Efficient skew handling […]
View View   Download Download (PDF)   
Kamran Karimi, Aleks G. Pamir, M. Haris Afzal
In this paper we discuss ways to reduce the execution time of a software Global Navigation Satellite System (GNSS) receiver that is meant for offline operation in a cloud environment. Client devices record satellite signals they receive, and send them to the cloud, to be processed by this software. The goal of this project is […]
View View   Download Download (PDF)   
Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes
Similarity search is a fundamental operation for applications that deal with multimedia data. For a query in a multimedia database it is meaningless to look for elements exactly equal to a given one as query. Instead, we need to measure the similarity (or dissimilarity) between the query object and each object of the database. The […]
View View   Download Download (PDF)   
Page 1 of 3123

* * *

* * *

Follow us on Twitter

HGPU group

1737 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

369 people like HGPU on Facebook

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: