high performance computing on graphics processing units: hgpu.org

This paper presents a computer simulator for the CAFADIS camera. CAFADIS is a patented camera (PCT/ES2007/000046) that measures wave-front phases and 3D distances under different scenarios (from microns to kilometres), using highly specialised electronic technology, namely Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). Since 3DTV is one of the most important applications […]

The notion of virtual machine has permeated every aspect of computing systems, as witnessed by the ever growing set of virtual execution systems targeted by programming languages such as Java, C#, Perl and Python just to mention few of them. Virtual machines are appreciated not only because of portability of computer programs across different architectures; […]

Virtual machines emerged during the 90s as the platform for developing frameworks and applications, offering large base class libraries, dynamic loading, and reflection. The design of these machines was influenced by the then dominant idea that processors would have maintained a Von-Neumann model while hiding non-Von Neumann aspects in their internal structure. Recently Graphics Processing […]

This paper describes an approach to the approximation of Loop subdivision surfaces for real-time rendering. The approach consists of two phases, which separately construct the approximation geometry and the normal field of a subdivision surface. It first exploits quartic triangular Bezier patches to approximate the geometry of the subdivision surface by interpolating a grid of […]

This article presents an optimized algorithm for Nonnegative Tensor Factorization (NTF), implemented in the CUDA (Compute Uniform Device Architecture) framework, that runs on contemporary graphics processors and exploits their massive parallelism. The NTF implementation is primarily targeted for analysis of high-dimensional spectral images, including dimensionality reduction, feature extraction, and other tasks related to spectral imaging; […]

Driver assistance helps save lives. Accurate 3D pose is required to establish if a traffic sign is relevant to the driver. We propose a real-time system that integrates single view detection with region-based 3D tracking of road signs. The optimal set of candidate detections is found, followed by AdaBoost cascades and SVMs. The 2D detections […]

Recent advances in computing technology has brought massively parallel computing power to desktop PCs. As multi-core processor technology becomes mature, a new front in parallel technology based on graphics processors has emerged. A massively parallel 2D-TLM algorithm for NVIDIA advanced graphics processors has been developed. The proposed parallel computing paradigm can be adopted straightforwardly to […]

We describe an approach to render massive urban models. To prevent a memory transfer bottleneck we propose to render the models from a compressed representation directly. Our solution is based on rendering crude building outlines as polygons and generating details by ray-tracing displacement maps in the fragment shader. We demonstrate how to compress a displacement […]

A barrier to the adoption of non-Cartesian parallel magnetic resonance imaging for real-time applications has been the times required for the image reconstructions. These times have exceeded the underlying acquisition time thus preventing real-time display of the acquired images. We present a reconstruction algorithm for commodity graphics hardware (GPUs) to enable real time reconstruction of […]

In the domain of computer security, how to enhance the speed of RSA algorithm has been the research hot spot. With the recent tremendous increase in Graphics Processing Unit’s computing capability as a co-processor of the CPU, Nvidia’s Compute Unified Device Architecture (CUDA) can greatly benefit single instruction multiple thread styled, computationally expensive programs. This […]

As technologies for acquiring 3D data and algorithms for constructing integrated models evolve, very large data sets representing objects or environments are emerging in various application areas. As a result, significant research in computer graphics has aimed to interactively render such models on affordable commodity computers. Interest is growing in the possibility of integrating real-time […]

The visualization of complex 3D images remains a challenge, a fact that is magnified by the difficulty to classify or segment volume data. In this paper, we introduce size-based transfer functions, which map the local scale of features to color and opacity. Features in a data set with similar or identical scalar values can be […]