high performance computing on graphics processing units: hgpu.org

In order to reduce the processing time of image enhancement in spatial domain, a GPU (Graphic Processing Unit) based acceleration architecture is proposed and implemented. With structured design method, computing model, data and algorithm resource which are indispensability in GPU computation are encapsulated, and computed directly in high performance with CUDA (Compute Unified Device Architecture). […]

This paper presents a 3GPP LTE compliant turbo decoder accelerator on GPU. The challenge of implementing a turbo decoder is finding an efficient mapping of the decoder algorithm on GPU, e.g. finding a good way to parallelize workload across cores and allocate and use fast on-die memory to improve throughput. In our implementation, we increase […]

The data parallel programming model comes back with massive multicore architectures. The GPU is one of these and offers important possibilities to accelerate linear algebra. However, the irregular structure of sparse matrix operations generates problems with this programming model to obtain efficient performance. This depends on the used format to store values and the matrix […]

In order to register partly overlapped data clouds measured from different view points, a multi-resolution registration method based on local diffusion wavelet features was proposed. Firstly, we detect multi-scale salient points from large number of original data, and a subset of data was extracted within a neighbourhood around each salient point. Secondly, diffusion wavelet decomposition […]

In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU’s […]

In the basis of photon texture data generated by parallelized algorithm, we propose the real-time rendering algorithm. This method stores pre-computed results of photon mapping as textures before rendering, and looks for adjacent photons by programming on GPU (graphics processing unit). The algorithm takes full advantage of the computing capacity of GPU to accelerate the […]

GPU shaders aren’t just for special effects. Previously, I looked at some uses for them in visualization. Here, the idea continues. Because visualization relies so much on high speed interaction, we use shaders for the same reason we use them in effects programming: appearance and performance. In the drive to understand large, complex data sets, […]

This paper presents a novel approach to implementing dynamic LOD on GPU. For our purpose, a quadtree structure is created based on seamless geometry image atlas, which is a 3D surface representation in parameter space by combining the features of geometry images and poly-cube maps. All the nodes in the quadtree are packed into the […]

Forward-projection is an important process of computed tomography reconstruction. An accurate forward-projection has a significant impact on increasing the reconstructed quality of iterative algorithms. However its computations are very costly. In order to improve performance of forward-projection, we proposed a GPU-accelerated scheme for it with a new sampling method. There are two novel techniques in […]

We present a fast algorithm for converting quad meshes on the GPU to smooth surfaces. Meshes with 12,000 input quads, of which 60% have one or more non-4-valent vertices, are converted, evaluated and rendered with 9times9 resolution per quad at 50 frames per second. The conversion reproduces bi-cubic splines wherever possible and closely mimics the […]

Real-time video enhancement is generally achieved using costly specialized hardware that have specific functions and outputs. Commercial off-the-shelf hardware, such as desktop computers with Graphics Processing Units (GPUs), are also commonly used as cost effective solutions for real-time video processing. In the past, the limitations in computer hardware meant that real-time video enhancement was mainly […]

In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for signal processing applications. We propose […]