high performance computing on graphics processing units: hgpu.org

This article presents the application of parallel computing techniques using a Graphics Processing Unit (GPU)in order to improve the computational efficiency of a ray tracing algorithm. Three different GPU implementations of the ray tracing algorithm are presented. The experimental evaluation of the proposed methods demonstrates that a significant reduction of the computing time can be […]

List-mode processing provides an efficient way to deal with sparse projections in iterative image reconstruction for emission tomography. An issue often reported is the tremendous amount of computation required by such algorithm. Each recorded event requires several back- and forward line projections. We investigated the use of the programmable graphics processing unit (GPU) to accelerate […]

Visual attention is a complex concept that includes many processes to find the region of concentration in a visual scene. In this paper, we discuss a spatio-temporal visual saliency model where the visual information contained in videos is divided into two types: static and dynamic that are processed by two separate pathways. These pathways produce […]

CUDA is a platform developed by Nvidia for general purpose computing on Graphic Processing Unit to utilize the parallelism capabilities. Serpent encryption is considered to have high security margin as its advantage; however it lacks in speed as its disadvantage. We present a methodology for the transformation of CPU-based implementation of Serpent encryption algorithm (in […]

Graphics Processing Units (GPUs) are being used in many areas of physics, since the performance versus cost is very attractive. The GPUs can be addressed by CUDA which is a NVIDIA’s parallel computing architecture. It enables dramatic increases in computing performance by harnessing the power of the GPU. We present a performance comparison between the […]

DNA analysis is an emerging application of high performance bioinformatics. Modern sequencing machinery are able to provide, in few hours, large input streams of data which needs to be matched against exponentially growing databases of known fragments. The ability to recognize these patterns effectively and fastly may allow extending the scale and the reach of […]

Simulation and visualization on aeolian sand movement and its interaction with vegetation are a challenging subject. In this work, we proposed a physically and procedurally based modeling and simulation method that can be used to synthesize sandy terrain with vegetation covers. For realizing a real-time simulation process, we implemented the method on the programming graphics […]

The use of Graphical Processing Units (GPUs) to perform computational electromagnetic simulations has been proven over past several years to increase the calculation speed. By examining the various mathematical processes used in various techniques, appropriate algorithms for the GPU can be developed to speed up the simulations. Understanding how to map algorithms appropriately to the […]

Graphical processing units (GPU) has been recently used for the implementation of the FDTD method for electromagnetics. These processors, found inside graphics cards, are able to execute numerical calculations at speeds many times faster than that of modern CPUpsilas. Such speed gains allow for many common FDTD simulations to be performed in as little as […]

An improved volume rendering method is presented for interactive visualization of volume datasets. The key idea of our technique is using arbitrary shaped geometry as GPU (Graphical Processing Units) ray casting proxy instead of bounding box geometry. We implement this technique on CT datasets. The results show that the improvement of rendering efficiency can be […]

Hyperspectral imaging is a new technique in remote sensing that generates images with hundreds of spectral bands, at different wavelength channels, for the same area on the surface of the Earth. The price paid for such a wealth of spectral information is the enormous amounts of data to be processed. In recent years, several efforts […]

In this paper, multi-pass and frame parallel algorithms are proposed to accelerate various motion estimation (ME) tools in H.264 with the graphics processing unit (GPU). By the multi-pass method to unroll and rearrange the multiple nested loops, the integer-pel ME can be implemented with two-pass process on GPU. Moreover, fractional ME needs six passes for […]