high performance computing on graphics processing units: hgpu.org

The Common Unified Device Architecture (CUDA) is a fundamentally new programming approach making use of the unified shader design of the most current Graphics Processing Units (CPUs) from NVIDIA. The programming interface allows to implement an algorithm using standard C language and a few extensions without any knowledge about graphics programming using OpenGL, DirectX, and […]

The railway maintenance is a particular application context required in order to prevent any dangerous situation. With the growing of the high-speed railway traffic, automatic inspection systems able to detect rail defects, sleepers’ anomalies, as well as missing fastening elements, become strategic since they could increase the ability in the detection of defects and reduce […]

Specialized secondary processing units, such as field programmable gate arrays (FPGAs) and graphics processing units (GPUs), attempt to tackle the time consuming applications containing high computational requirements. In order to achieve acceleration, FPGAs allow a customizable architecture and Nvidia GPUs offer up to 16 cores with 128 stream processors. The following research presents the experiences […]

Glassless 3D display requires multiple images taken from different viewpoints to show a scene. Thus, generating such a large number of viewpoint images effectively is emerging as a key technique in 3D video technology. Image-based view synthesis is a technique of generating required virtual viewpoint images using a limited number of views and depth maps. […]

Graphics processing units (GPUs) have evolved into an extremely powerful and flexible processor, making them an attractive platform for high performance computing due to their extremely high floating-point processing performance, huge memory bandwidth and their comparatively low cost. This paper proposes a new platform named PConG for pervasive computing. We describe the design and implementation […]

In this paper we present a method for achieving real-time view interpolation in a virtual navigation application that uses a collection of pre-captured panoramic views as a representation of the environment. In this context, viewpoint interpolation is essential to achieve smooth and realistic viewpoint transition while the user is moving from one panorama to another. […]

Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabilities. Among various spiking neuron models, the Hodgkin-Huxley model is the oldest and most compute intensive, whereas the more recent Izhikevich model is very compute efficient. Some of the recent […]

Software power performance tuning handles the critical design constraints at the level of software that run beyond hardware platforms composed of large numbers of power-hungry components. The power dissipation of a Single Instruction Multiple Data (SIMD) program such as FEM mesh refinement is highly dependent on its underlying algorithm and the power-consuming features of hardware […]

We present an optimized algorithm to compute 3D distance fields using the bilinear interpolation capabilities of GPUs while preserving the features of the model. For a geometric model, our algorithm computes the Euclidean distance fields on each 2D slice of a 3D grid by applying linear decomposition to the non-linear distance function of each primitive […]

Zernike moments are trascendental digital image descriptors used in many application areas like biomedical image processing and computer vision due to their good properties of orthogonality and rotation invariance. However, their computation is too expensive and limits its application in practice, overall when real-time constraints are imposed. This work introduces a novel approach to the […]

We describe a new approach to vision-based 3D object tracking, using appearance-based particle filters to follow 3D model reconstructions. This method is targeted towards modern graphics processors, which are optimized for 3D reconstruction and are capable of highly parallel computation. We discuss an OpenGL implementation of this approach, which uses two rendering passes to update […]

Creating and rendering realistic ocean is one of the most daunting tasks in computer graphics. An efficient algorithm is used to render ocean waves by taking advantage of the parallelism and programmability of GPU and the new characteristics of vertex sampling of Shader Model 3.0. The ocean modeling is optimized by level-of-detail (LOD) technology. The […]