high performance computing on graphics processing units: hgpu.org

The time-domain finite element method is used extensively in areas of microwave engineering. However, TD-FEM runs too slow for some simulations to be practical, especially when run on standard personal computers. The propriety of hardware for the acceleration of TD-FEM computations has been investigated. It is well known that the key of TD-FEM is matrix […]

Real-time 3D geometry and motion estimation has many important applications in areas such as robot navigation and dynamic image-based rendering. A novel algorithm is proposed in this paper for estimating 3D geometry and motion of dynamic scenes based on captured stereo sequences. All computations are conducted in the 2D image space of the center view […]

We present an efficient algorithm for real time collision detection between complex deformable objects with closed surfaces by using graphics hardware. The algorithm adopts an effective use of the rendering buffers and the occlusion query operation, and can also be applied to detect self-collision. Though our current algorithm has some limitations, it requires neither expensive […]

Video from aerial surveillance can provide a rich source of data for many applications and can be enhanced for display and analysis through such methods as mosaic construction, super-resolution, and mover detection. All of these methods require accurate frame-to-frame registration, which for live use must be performed in real time. In many situations, scene parallax […]

The Common Unified Device Architecture (CUDA) is a fundamentally new programming approach making use of the unified shader design of the most current Graphics Processing Units (CPUs) from NVIDIA. The programming interface allows to implement an algorithm using standard C language and a few extensions without any knowledge about graphics programming using OpenGL, DirectX, and […]

The railway maintenance is a particular application context required in order to prevent any dangerous situation. With the growing of the high-speed railway traffic, automatic inspection systems able to detect rail defects, sleepers’ anomalies, as well as missing fastening elements, become strategic since they could increase the ability in the detection of defects and reduce […]

Specialized secondary processing units, such as field programmable gate arrays (FPGAs) and graphics processing units (GPUs), attempt to tackle the time consuming applications containing high computational requirements. In order to achieve acceleration, FPGAs allow a customizable architecture and Nvidia GPUs offer up to 16 cores with 128 stream processors. The following research presents the experiences […]

Glassless 3D display requires multiple images taken from different viewpoints to show a scene. Thus, generating such a large number of viewpoint images effectively is emerging as a key technique in 3D video technology. Image-based view synthesis is a technique of generating required virtual viewpoint images using a limited number of views and depth maps. […]

Graphics processing units (GPUs) have evolved into an extremely powerful and flexible processor, making them an attractive platform for high performance computing due to their extremely high floating-point processing performance, huge memory bandwidth and their comparatively low cost. This paper proposes a new platform named PConG for pervasive computing. We describe the design and implementation […]

In this paper we present a method for achieving real-time view interpolation in a virtual navigation application that uses a collection of pre-captured panoramic views as a representation of the environment. In this context, viewpoint interpolation is essential to achieve smooth and realistic viewpoint transition while the user is moving from one panorama to another. […]

Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabilities. Among various spiking neuron models, the Hodgkin-Huxley model is the oldest and most compute intensive, whereas the more recent Izhikevich model is very compute efficient. Some of the recent […]

Software power performance tuning handles the critical design constraints at the level of software that run beyond hardware platforms composed of large numbers of power-hungry components. The power dissipation of a Single Instruction Multiple Data (SIMD) program such as FEM mesh refinement is highly dependent on its underlying algorithm and the power-consuming features of hardware […]