For real-time rendering of physically-based volumetric deformation, a meshless finite element method (FEM) is proposed and implemented on the new-generation Graphics Processing Unit (GPU). A tightly coupled deformation and rendering pipeline is defined for seamless modeling and rendering: First, the meshless FEM model exploits the vertex shader stage and the transform feedback mechanism of the ...

For real-time rendering of physically-based volumetric deformation, a meshless finite element method (FEM) is proposed and implemented on the new-generation Graphics Processing Unit (GPU). A tightly coupled deformation and rendering pipeline is defined for seamless modeling and rendering: First, the meshless FEM model exploits the vertex shader stage and the transform feedback mechanism of the ...

In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator to a high performance graphics processing unit (GPU) platform. In particular, we extend our simulations to larger and more complex SNP systems using an NVIDIA Tesla C1060 GPU. The C1060 is manufactured for high performance computing and massively parallel computations, matching the maximally parall...

The acceleration of an option pricing technique based on Fourier cosine expansions on the Graphics Processing Unit (GPU) is reported. European options, in particular with multiple strikes, and Bermudan options will be discussed. The influence of the number of terms in the Fourier cosine series expansion, the number of strikes, as well as the number of exercise dates for Bermudan options, are ex...

This article presents a real-time Fuzzy ART neural classifier for skin segmentation implemented on a Graphics Processing Unit (GPU). GPUs have evolved into powerful programmable processors, becoming increasingly used in time-dependent research fields such as dynamics simulation, database management, computer vision or image processing. GPUs are designed following a Stream Processing Model and e...

The graphics processing unit (GPU) has now become an integral part of our lives through both desktop and portable devices. Thanks to dedicated hardware, visualization been significantly accelerated, softwares today only use the GPU for rasterization. As a result this development, we triangle-based rendering, pixel-based image manipulations can be performed using shaders. It stated that today’s ...

Radar Signal Processing algorithms place strong real-time performance demands on computer architectures. These algorithms do however have an inherent data-parallelism that allows for great performance on massively parallel architectures, such as the Graphics Processing Unit (GPUs). Recently, using GPUs for other than graphics processing has become a possibility through the CUDA and OpenCL (Open...

Registration of three-dimensional images is an important task in biomedical science. However, computational costs of 3D registration algorithms have hindered their widespread use in many clinical and research workflows. We describe an automated medical image registration framework, including a novel implementation of the mutual information similarity metric, that executes entirely on the commod...

................................................................................................................. II CONTENTS ................................................................................................................. III ABBREVIATIONS ..................................................................................................... VII LIST OF FIGURES ....................

Energy efficiency has become one of the top design criteria for current computing systems. The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop computers, servers, and mobile devices to conserve energy, while the GPU DVFS is still at a certain early age. This paper aims at exploring the impact of GPU DVFS on the application performance and power consumption, and fu...