high performance computing on graphics processing units: hgpu.org

Regional weather forecasting demands fast simulation over fine-grained grids, resulting in extremely memory- bottlenecked computation, a difficult problem on conventional supercomputers. Early work on accelerating mainstream weather code WRF using GPUs with their high memory performance, however, resulted in only minor speedup due to partial GPU porting of the huge code. Our full CUDA porting […]

A computer system for interactively creating marbling textures is built on the physical model of the traditional marbling process. The approach generates marbling designs as the result of color advection in the 2D flow fields obtained by numerically solving the Navier-Stokes equations on the GPU with a multigrid solver

This paper presents a method for large-scale terrain rendering based on GPU programming. The total terrain data is partitioned into many smaller pages evenly, and the real-time scheduling for massive terrain data is realized with viewpoint-based pre-loading method and the page buffer pool management technology. With the idea of LOD algorithm, each page is divided […]

A pre-processing technique for potential-visible set of the region of the great 3D scenes by using the highly processing power, parallelism and general-purpose computation of GPU is presented. The precision of scene segmentation and maximum error are used to adjust the computing speed and the accuracy of the potential visible set and the required storage […]

We develop a radix sort algorithm, GRS, suitable to sort multifield records on a graphics processing unit (GPU). We assume the ByField layout for records to be sorted. GRS is benchmarked against the radix sort algorithm, SDK, in NVIDIA’s CUDA SDK 3.0 as well as the radix sort algorithm, SRTS, of Merrill and Grimshaw. Although […]

Simulating a lively forest in real time is a challenging problem due to the high complexities in both scene geometry and dynamic effects. In this paper, we introduce a novel hybrid model to efficiently synthesize realistic swaying effects of trees under winds. An approximate lighting algorithm is also proposed to render realistic lakes. Our method […]

A parallel visualisation technique for large seismic data based on a graphics processing unit (GPU) and CPU cooperation is presented. The 3D texture mapping capability commonly available in modern GPUs is employed as a core rendering engine and advantage is taken of combinations of GPU-based parallel volume visualisation and visibility tests to accelerate the whole […]

Feature tracking is one of fundamental steps in many computer vision algorithms and the KLT (Kanade-Lucas-Tomasi) method has been successfully used for optical flow estimation. There has been also much effort to implement KLT on GPUs to increase the speed with more features. Many implementations have chosen the translation model to describe a template motion […]

Feature tracking is one of the most fundamental tasks in computer vision, being used as a preliminary step to many high-level algorithms. In general, however, the number of features tracked (leading to more accurate high-level algorithms) must be balanced against the computational requirements of the feature tracking algorithm. To enable a large number of features […]

In the method of moments (MOM) analysis of electromagnetic phenomena, the LU decomposition is often an important and costly step in the solution process. In this reported work, the acceleration of LU decomposition using graphics processing units (GPUs) has been considered. Although existing GPU methods, such as those supplied by MAGMA, provide significant speedup over […]

We developed a complete GPU based data processing for cone-beam micro CT application which performs not only the reconstruction but also all the correction of the projection images on-the-fly. Test measurements were performed and processing times was compared on different hardware setups. The performance of the GPU together with our modified algorithm allow to process […]

Neuroblastoma is one of the most malignant childhood cancers affecting infants mostly. The current prognosis is based on microscopic examination of slides by expert pathologists, a process that is error-prone, time consuming and may lead to inter- and intra-reader variations. Therefore, we are developing a Computer Aided Prognosis (CAP) system which provides computerized image analysis […]