high performance computing on graphics processing units: hgpu.org

Due to the increasing availability of so called "Non-Mydriatic" cameras, digital imaging has become a very important part of the ophthalmologist’s work. This has created large databases of retinal images. It would be desirable to have a fast image processing tool that allows to analyse such databases in a short time, and to process the […]

We present a scheme for interactive ray tracing of Bezier bicubic patches using Newton iteration in this paper. We use a mixed hierarchy representation as the acceleration structure. This has a bounding volume hierarchy above the patches and a fixed depth subpatch tree below it. This helps reduce the number of ray-patch intersections that needs […]

Results on the performance and viability of data-parallel algorithms on Graphics Processing Units (GPUs) in the ATLAS Level 2 trigger system are presented. We describe the existing trigger data preparation and track reconstruction algorithms, motivation for their optimization, GPU-parallelized versions of these algorithms, and a "client-server" solution for hybrid CPU/GPU event processing used for integration […]

In the paper the result of application of artificial neural networks (ANN) for radionuclides transport modelling with surface runoff is presented. ANN with supervised training based on back propagation algorithm was used to predict radionuclides transport in the soil and on its surface. Application of ANN for substances migration modelling is worth using, because it […]

Markov Random Field (MRF) approaches have been widely studied for Synthetic Aperture Radar (SAR) image segmentation, but they have a large computational cost and hence are not widely used in practice. Fortunately parallel algorithms have been documented to enjoy significant speedups when ported to run on a graphics processing units (GPUs) instead of a standard […]

Whereas most today parallel High Performance Computing (HPC) software is written as highly tuned code taking care of low-level details, the advent of the manycore area forces the community to consider modular programming paradigms and delegate part of the work to a third party software. That latter approach has been shown to be very productive […]

In this paper, we present a novel approach for constructing bundled layouts of general graphs. As layout cues for bundles, we use medial axes, or skeletons, of edges which are similar in terms of position information. We combine edge clustering, distance fields, and 2D skeletonization to construct progressively bundled layouts for general graphs by iteratively […]

The use of GPUs has enabled us to achieve substantial acceleration in highly regular data parallel applications. The trend is now to look at irregular applications, as it requires advanced load balancing technics. However, it is well known that the use of regular computation is preferable and more suitable when working with these architectures. An […]

The Graphics Processing Unit (GPU) is gaining popularity as a co-processor to the Central Processing Unit (CPU), due to its ability to surpass the latter’s performance in certain application fields. Nonetheless, harnessing the GPU’s capabilities is a non-trivial exercise that requires good knowledge of parallel programming. Thus, providing ways to extract such computational power has […]

Searching similarities between sequences is a fundamental operation in bioinformatics, providing insight in biological functions as well as tools for high-throughput data. There is a need to have algorithms able to process efficiently billions of sequences. To look for approximate similarities, a common heuristic is to consider short words that appear exactly in both sequences, […]

Cloud computing is a great resource for applications that require computing capacity for a short time but do not need investing in fixed capital for long term. As a result, it can be used for lot of attacks such as cracking passwords, keys or other forms of brute force attacks that are computationally expensive but […]

Cloud computing provides on-demand webbased software, middleware, and computing resources. It is a service-oriented model and one of its service is Data as a Service (DaaS), also known as Outsourced Database (ODB) model. Although DaaS solves the problem of storing terabytes of data, the security of the data is a major concern for all the […]