high performance computing on graphics processing units: hgpu.org

SkePU is a C++ template library that provides a simple and unified interface for specifying data-parallel computations with the help of skeletons on GPUs using CUDA and OpenCL. The interface is also general enough to support other architectures, and SkePU implements both a sequential CPU and a parallel OpenMP backend. It also supports multi-GPU systems. […]

Among the various factors that drive the momentous changes occurring in the design of microprocessors and high end systems [1], three stand out as especially notable: 1. the number of transistors per chip will continue the current trend, i.e. double roughly every 18 months, while the speed of processor clocks will cease to increase; 2. […]

This paper chronicles our experiences using CUDA to implement a parallelized variant of Pollard’s rho algorithm to solve discrete logarithms in groups with cryptographically large moduli but smooth order using commodity GPUs. We first discuss some key design constraints imposed by modern GPU architectures and the CUDA framework, and then explain how we were able […]

In this paper, we propose a new method for real-time disparity estimation and intermediate view synthesis from stereoscopic images. Some 3D video systems employ both the left and right depth images for virtual view synthesis; however, we estimate only one disparity map at a virtual viewpoint. In addition, we utilize hierarchical belief propagation and convergence […]

In history, the decorative pattern represents the design of art. The styles of decorative patterns are unique according to different countries and cultures. Because of the decorative floral pattern giving human an elegant and abundance impression, it is applied to many fields including product packaging, advertising or multimedia materials design. In this paper, we simulate […]

In previous work it was shown that, at least in principle, an exemplar-based approach to noise robust ASR is possible. The method, sparse representation based classification (SC), works by modelling noisy speech as a sparse linear combination of speech and noise exemplars. After recovering the sparsest possible linear combination of labelled exemplars, noise robust posterior […]

In the ray-tracing community, the surface-area heuristic (SAH) is used as a de facto standard strategy for building high-quality kd-trees. Although widely accepted as the best kd-tree construction method, it is based only on the surface-area measure, which often fails to re ect effectively the rendering characteristics of a given scene. This paper presents new […]

Myers Fast Bit-Vector Algorithm for Approximate String Matching, further on referred as Myers algorithm only, is used to solve a string-matching problem in the informatics. String matching problems occurs if one text has to be compared with another text -a matching pattern or needle- for finding equalities, dissimilarities, or occurrences of this pattern in the […]

This work is devoted to developing tools for the visual analysis of tropical cyclones based on satellite data. The implemented system has an extensible set of algorithms for the loading, processing and visualization of data, mainly the spatial scalar fields. The well-known algorithms and author’s developments using CUDA technology, and shaders were used in creation […]

We present a new image-based, post-processing antialiasing technique, which offers practical solutions to the common, open problems of existing filter-based real-time antialiasing algorithms. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with our […]

This paper implements the Bilateral filter, using CUDA enhanced parallel computations. The Bilateral filter allows smoothing images, while preserving edges, in contrast to e.g. the Gaussian filter, which smoothes across edges. While delivering visually stunning results, Bilateral filtering is a costly operation. Using NVidia’s CUDA technology the filter can be parallelized to run on the […]

Incoherent dedispersion is a computationally intensive problem that appears frequently in pulsar and transient astronomy. For current and future transient pipelines, dedispersion can dominate the total execution time, meaning its computational speed acts as a constraint on the quality and quantity of science results. It is thus critical that the algorithm be able to take […]