high performance computing on graphics processing units: hgpu.org

In today’s digital world, Data sets are increasing exponentially. Statistical analysis using clustering in various scientific and engineering applications become very challenging issue for such large data set. Clustering on huge data set and its performance are two major factors demand for optimization. Parallelization is well-known approach to optimize performance. It has been observed from […]

All accepted papers for the ICFN 2014 will be published in International Journal of Future Computer and Communication (ISSN:2010-3751, DOI: 10.7763/IJFCC), which will be indexed by DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Crossref, and Google Scholar 2014-04-10 Computer Networking Complex network Mobile and Wireless Technologies (UWB, MIMO, WiMAX, etc.) and Networks Radio […]

All accepted papers for the ICEMP 2014 will be published in International Journal of Applied Physics and Mathematics(ISSN:2010-362X, DOI: 10.7763/IJAPM), which will be indexed by DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Nanowerk Database, Crossref, Google Scholar and ProQuest. 2014-04-10 Advanced Numerical Algorithms Algorithmic Approaches to Computational Kernels and Applications Application of Soft […]

Image edge detection is an important technique in the area of image processing with wide applications in Medicine, Remote sensing, military to mention a few. There are conventional as well as improvised edge detection algorithms depending on the application. The choice of the technique in most cases depends on the application and image in question […]

The turbulent transport of a passive scalar is an important and challenging problem in many applications in fluid mechanics. It involves different range of scales in the fluid and in the scalar and requires important computational resources. In this work we show how hybrid numerical methods, combining Eulerian and Lagrangian schemes, are natural tools to […]

In 2010, a special time-domain beamforming algorithm was presented at the Berlin Beamforming Conference [3]. This algorithm is primarily designed for the sound source localization on moving objects with known velocity (e.g. freight trains). By determining the object trajectory, the acoustic map’s quality can be improved with respect to the Doppler effect. The bottleneck of […]

In the video sequence human faces have unlimited orientations and positions so face detection and clustering is very important. In this paper, I have proposed a method to cluster human faces from the video sequence based on Spatio Temporal method.The proposed method is based on three main stages. First I have used a face detector […]

GPU’s are massively multicore architectures managing several thousands of concurrent threads. This concurrence, maintained through several schedulers, is necessary to keep high performance but negatively impact predictability. In this work, we first propose measures of predictability as well as CUDA tests to estimate this measure regarding warp and block scheduler for architectures from G80 to […]

Joint programming of QT and CUDA is a urgent problem on Linux, a Linux-based QT-CUDA parallel architecture has been built creatively. As an example, an fast parallel rendering algorithm for seismic and GPR imaging is proposed and implemented based on the Linux QT-CUDA parallel architecture. It is proved that the parallel rendering algorithm is about […]

Beamforming algorithms make high demands on the computer hardware and the computation time is an important factor for the assessment of this method. This paper describes techniques for optimizing the implementation of beamforming algorithms in regard to calculation time. The main focus is on using the Graphic Processing Unit for accelerating beamforming. After a brief […]

In this paper, we proposed a new low overhead collaborative technique of output quality monitoring for approximate computing on GPUs. In this technique, the CPU is responsible for performing quality monitoring while the GPU executes approximate kernels. For two image processing applications, we showed that this technique outperforms previous quality monitoring techniques.

This paper describes a performance model for read alignment problem, one of the most computationally intensive tasks in bioinformatics. We adapted Burrows Wheeler transform based index to be used with GPUs to reduce overall memory footprint. A mathematical model of computation and communication costs was developed to find optimal memory partitioning for index and queries. […]