high performance computing on graphics processing units: hgpu.org

Existing real-time automatic video abstraction systems rely on local contrast only for identifying perceptually important information and abstract imagery by reducing contrast in low-contrast regions while artificially increasing contrast in higher contrast regions. These methods, however, may fail to accentuate an object against its background for the images with objects of low contrast over background […]

In this paper we give an overview over a series of experiments to visualize and measure flow fields in the human vascular system with respect to their diagnostic capabilities. The experiments utilize a selection of GPU-based sparse and dense flow visualization algorithms to show the diagnostic opportunities for volumetric cardiovascular phase contrast magnetic resonance imaging […]

Realistic outdoor scenarios often include rain and other atmospheric phenomena, which are difficult to simulate in real time. In the field of real-time applications, a number of solutions have been proposed which offer realistic but costly rain systems. Our proposal consists in developing a solution to facilitate the creation and control of rain scenes and […]

Whenever approximate 3D geometry is projectively texture-mapped from different directions simultaneously, annoyingly visible aliasing artifacts are the result. To prevent such ghosting in projective texturing and image-based rendering, we propose a new GPU-based rendering strategy and a new, viewdependent definition of ghosting. The algorithm is applicable to any kind of image-based rendering method, or general […]

Adapting natural phenomena rendering for real-time applications has become a common practice in computer graphics. We propose a GPU-based multi-band method for optimized synthesis of “far from coast” ocean waves using an empirical Fourier domain model. Instead of performing two independent syntheses for low- and high-band frequencies of ocean waves, we perform only low-band synthesis […]

In this technical note we show the promise of using graphic processing units (GPUs) to accelerate simulations of electrical wave propagation in cardiac tissue, one of the more demanding computational problems in cardiology. We have found that the computational speed of two-dimensional (2D) tissue simulations with a single commercially available GPU is about 30 times […]

The radiosity method is usually employed for the rendering of highly realistic synthetic images. In this paper we present an implementation of the Monte Carlo radiosity algorithm on the GPU using CUDA. Our proposal is based on the partition of the scene into sub-scenes to be processed in parallel to exploit the graphics card structure. […]

Program development environments have enabled graphics processing units (GPUs) to become an attractive high performance computing platform for the scientific community. A commonly posed problem in computational biology is protein database searching for functional similarities. The most accurate algorithm for sequence alignments is Smith-Waterman (SW). However, due to its computational complexity and rapidly increasing database […]

GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from NVIDIA offers improved programmability for general computing, programming GPGPUs is still complex and error-prone. This paper presents a compiler framework for automatic source-to-source translation of standard OpenMP applications into CUDA-based GPGPU applications. The […]

In recent years, the GPU (graphics processing unit) has evolved into an extremely powerful and flexible processor, with it now representing an attractive platform for general-purpose computation. Moreover, changes to the design and programmability of GPUs provide the opportunity to perform general-purpose computation on a GPU (GPGPU). Even though many programming languages, software tools, and […]

Realtime image processing provides a general framework for robust mediated reality problems. This paper presents a realtime mediated reality system that is built upon realtime image processing algorithms. It has been shown that the graphics processing unit (GPU) is capable of efficiently performing image processing tasks. The system presented uses a parallel GPU architecture for […]

Visually realistic Augmented Reality (AR) entails addressing several difficult problems. The most difficult problem is that of rendering the virtual objects with illumination which is consistent with the illumination of the real scene. The paper describes a complete AR rendering system centered around the use of High Dynamic Range environment maps for representing the real […]