high performance computing on graphics processing units: hgpu.org

In video communication whole content of video cannot be stored without processing. So there is a need to compress the video before transmission and storage this process is called as video compression. Video compression plays an important role with regard to real-time scouting/video conferencing applications. Regarding the entire motion based video compression process, movement estimation […]

In this paper we propose a highly parallel GPU-based bounding algorithm for computing the exact diameter of large real-world sparse graphs. The diameter is defined as the length of the longest shortest path between vertices in the graph, and serves as a relevant property of all types of graphs that are nowadays frequently studied. Examples […]

The shallow-water equations model hydrostatic flow below a free surface for cases in which the ratio between the vertical and horizontal length scales is small and are used to describe waves in lakes, rivers, oceans, and the atmosphere. The equations admit discontinuous solutions, and numerical solutions are typically computed using high-resolution schemes. For many practical […]

Most image processing algorithms are inherently parallel, so multithreading processors are suitable in such applications. In huge image databases, image processing takes very long time for run on a single core processor because of single thread execution of algorithms. Graphical Processors Units (GPU) is more common in most image processing applications due to multithread execution […]

Graphics Processing Units (GPUs) is currently a common feature of high performance computing. Languages such as CUDA and Open Computing Language (OpenCL) are such programming models; provide a standard interface for achieving high performance across these GPU devices. However, because of the wide variety of architectural complexities of these GPU devices; often makes difficult to […]

Camera simulation aims to enhance realistic rendering, lens design and augmented reality by accurately simulating geometrical optics. Here our work focuses on optical phenomena, such as depth of field, monochromatic aberration, distortion, and aperture exposure, that are based on real camera lens architecture. Our approach is modeling pixel equation using ray tracing algorithm to render […]

Mapping quantitative trait loci (QTL) using genetic marker information is a time-consuming analysis that has interested the mapping community in recent decades. The increasing amount of genetic marker data allows one to consider ever more precise QTL analyses while increasing the demand for computation. Part of the difficulty of detecting QTLs resides in finding appropriate […]

GVF Snake is one of the most widely-used edge detection algorithms, nevertheless subject to its slow computation. This study reveals the bottleneck and transfers the time-consuming part of this algorithm to the GPU for better performance. In detail, this algorithm is decomposed into three parts, (1) GVF Computation, (2) inversing a circulant matrix and (3) […]

We investigate the strength of patterns as secret signatures in Android’s pattern based authentication mechanism. Parallelism of GPU is exploited to exhaustively search for the secret pattern. Typically, searching for a pattern, composed of a number of nodes and edges, requires an exhaustive search for the pattern. In this work, we show that the use […]

Approximate computing, where computation accuracy is traded off for better performance or higher data throughput, is one solution that can help data processing keep pace with the current and growing overabundance of information. For particular domains such as multimedia and learning algorithms, approximation is commonly used today. We consider automation to be essential to provide […]

A non-photorealistic rendering style is constantly chosen in games to emphasize the fantasy of the story. In this scenario, the presence of natural elements such as water is common. Simulation and rendering of water in 3D worlds still presents some technical challenges though. This paper describes an approach to render cartoon style water in real […]

Many state-of-the-art optical flow estimation algorithms optimize the data and regularization terms to solve ill-posed problems. In this paper, in contrast to the conventional optical flow framework that uses a single or fixed data model, we study a novel framework that employs locally varying data term that adaptively combines different multiple types of data models. […]