Posts
Nov, 16
Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation
Application of biomechanical modeling techniques in the area of medical image analysis and surgical simulation implies two conflicting requirements: accurate results and high solution speeds. Accurate results can be obtained only by using appropriate models and solution algorithms. In our previous papers we have presented algorithms and solution methods for performing accurate nonlinear finite element […]
Nov, 16
Illustrative Volume Visualization Using GPU-Based Particle Systems
Illustrative techniques are generally applied to produce stylized renderings. Various illustrative styles have been applied to volumetric data sets, producing clearer images and effectively conveying visual information. We adopt particle systems to produce user-configurable stylized renderings from the volume data, imitating traditional pen-and-ink drawings. In the following, we present an interactive GPU-based illustrative volume rendering […]
Nov, 16
GPU-based smart visibility techniques for tumor surgery planning
PURPOSE: The rating of distances and infiltrations to vital structures is important for the planning of tumor surgery or interventional procedures. To support such an assessment, the target structures should be clearly emphasized in a 3D visualization by ensuring their visibility. METHODS: Smart Visibility techniques such as Ghosting Views and Breakaway Views are employed. Ghosting […]
Nov, 16
GPU rendering for tiled multi-projector autostereoscopic display based on chromium
In this paper, a GPU-based high-resolution multiview rendering approach (HRMVRA) is presented and incorporated into Chromium, and then a tiled multi-projector autostereoscopic display system (TMPADS) based on HRMVRA is constructed to provide an immersing 3D perception and a compelling sense of presence without the need of glasses for viewers. HRMVRA renders the multiview images in […]
Nov, 16
Multi-scale neural texture classification using the GPU as a stream processing engine
A neural architecture for texture classification running on the Graphics Processing Unit (GPU) under a stream processing model is presented in this paper. Textural features extraction is done in three different scales, it is based on the computations that take place on the mammalian primary visual pathway and incorporates both structural and color information. Feature […]
Nov, 16
Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)
Satellite-observed radiance is a nonlinear functional of surface properties and atmospheric temperature and absorbing gas profiles as described by the radiative transfer equation (RTE). In the era of hyperspectral sounders with thousands of high-resolution channels, the computation of the radiative transfer model becomes more time-consuming. The radiative transfer model performance in operational numerical weather prediction […]
Nov, 16
High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning
Motivated by high computation power and low price per performance ratio of GPUs, GPU accelerated clusters are being built for high performance scientific computing. In this work, we propose a scalable implementation of a Conjugate Gradient (CG) solver for unstructured matrices on a GPU-extended cluster, where each cluster node has multiple GPUs. Basic computations of […]
Nov, 16
GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction
In this paper we present a real-time intra-operative reconstruction system for laparoscopic surgery. The system builds upon a surgical robot for laparoscopy that has previously been developed by us. Such a system is valuable for surgeons, who can get a three dimensional visualization of the scene online, without having to postprocess data. We gain a […]
Nov, 13
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
Neural network simulators that take into account the spiking behavior of neurons are useful for studying brain mechanisms and for various neural engineering applications. Spiking Neural Network (SNN) simulators have been traditionally simulated on large-scale clusters, super-computers, or on dedicated hardware architectures. Alternatively, Compute Unified Device Architecture (CUDA) Graphics Processing Units (GPUs) can provide a […]
Nov, 13
Graphic processors to speed-up simulations for the design of high performance solar receptors
Graphics Processing Units (GPUs) are now powerful and flexible systems adapted and used for other purposes than graphics calculations (General Purpose computation on GPU — GPGPU). We present here a prototype to be integrated into simulation codes that estimate temperature, velocity and pressure to design next generations of solar receptors. Such codes will delegate to […]
Nov, 13
High Performance Direct Gravitational N-body Simulations on Graphics Processing Unit I: An implementation in Cg
We present the results of gravitational direct $N$-body simulations using the commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce 8800GTX, and compare the results with GRAPE-6Af special purpose hardware. The force evaluation of the $N$-body problem was implemented in Cg using the GPU directly to speed-up the calculations. The integration of the equations […]
Nov, 13
A multiphysics and multiscale software environment for modeling astrophysical systems
We present MUSE, a software framework for combining existing computational tools for different astrophysical domains into a single multiphysics, multiscale application. MUSE facilitates the coupling of existing codes written in different languages by providing inter-language tools and by specifying an interface between each module and the framework that represents a balance between generality and computational […]

