high performance computing on graphics processing units: hgpu.org

High-performance feature tracking from video input is a valuable tool in many computer vision techniques and mixed reality applications. This work presents a refined and substantially accelerated approach to KLT feature tracking performed on the GPU. Additionally, a global gain ratio between successive frames is estimated to compensate for changes in the camera exposure. The […]

A feasible routine for complex fluid simulation is presented, consisting of the pre-processing and runtime stage. The pre-processing stage generates all computation-aided textures, which speeds up the simulating and rendering at run-time stage. We improve the unreasonable processing in most previous methods and give a correct discretized solution of Poisson equation. To improve the computational […]

Synchrotron X-ray tomographic microscopy is a powerful technique which allows fast non-destructive, high resolution, quantitative volumetric investigations on diverse samples. Highly brilliant X-rays delivered by third generation synchrotron facilities coupled with modern detector technology permit routinely acquisition of high resolution tomograms in few minutes, making high throughput experiments a reality and bringing real-time tomography closer. […]

With rapid improvements in the performance and programmability, graphics processing units (GPUs) have fostered considerable interest in substantially reducing the running time of compute intensive problems. The solution to the view-independent mutual point-pair visibility problem (required for inter-reflections in global illumination) can, it would seem, require the capabilities of the GPUs. In this paper, various […]

A novel approach to the simulation of soft tissue cutting in a virtual reality endoscopic simulator is presented for applications in surgical training and education. This approach is based on an improved mass-spring model and the use of computational geometry. A virtual spring is introduced to compensate the weakness of the conventional mass-spring model, and […]

PROPELLER technique can effectively cancel motion artifacts in MRI. But its wider application in clinical situation is limited due to considerable reconstruction times. Since most correction operations in PROPELLER reconstruction can be done for each strip respectively, the algorithm is highly parallelizable. This allows us to exploit the data-parallel nature of the GPU fragment processors. […]

Building occupancy grids (OGs) in order to model the surrounding environment of a vehicle implies to fusion occupancy information provided by the different embedded sensors in the same grid. The principal difficulty comes from the fact that each can have a different resolution, but also that the resolution of some sensors varies with the location […]

Attacks on the computer infrastructures are becoming an increasingly serious problem. Whether it is banking, e-commerce businesses, health care, law enforcement, air transportation, or education, we are all becoming increasingly reliant upon the networked computers. The possibilities and opportunities are limitless; unfortunately, so too are the risks and chances of malicious intrusions. Intrusion detection is […]

In this paper, we propose a two-stage labeling method of large biomedical datasets through a parallel approach in a single GPU. Diagnostic methods, structures volume measurements, and visualization systems are of major importance for surgery planning, intra-operative imaging and image-guided surgery. In all cases, to provide an automatic and interactive method to label or to […]

Graphic Processing Units (GPUs) are getting increasingly important as target architectures in scientific High Performance Computing (HPC). NVIDIA established CUDA as a parallel computing architecture controlling and making use of the compute power of GPUs. CUDA provides sufficient support for C++ language elements to enable the Expression Template (ET) technique in the device memory domain. […]

The quadratic 3-dimensional assignment problem (Q3AP) is an extension of the well-known NP-hard quadratic assignment problem. It has been proved to be one of the most difficult combinatorial optimization problems. Local search (LS) algorithms are a class of heuristics which have been successfully applied to solve such hard optimization problem. These methods handle with a […]

A GPU framework for ultrasound speckle reduction by region growing based on local statistics extracted from the histogram shape is presented. The required image processing is computationally intensive, involving histogram calculation, region growing, box filtering using different sizes of windows, and more. In this paper, we describe the use of a graphics processing unit for […]