high performance computing on graphics processing units: hgpu.org

This paper presents a framework that extends OpenCL by distributing computing process to many computing resources connected via network and enables the computing resources to run in parallel. Using JSON RPC (Remote Procedure Call technique relying on JavaScript Object Notation) in communication layer, Distributed OpenCL framework provides platform and operating system independency. Using this framework, […]

Graphics engines are excellent execution platforms for high-throughput computations that exploit a large degree of available parallelism. The achieved performance is, however, highly dependent on the access patterns that the application imposes on the memory subsystem. Here, we propose an analytic model that helps improve the understanding of the performance of memory-limited kernels that employ […]

High Performance Computing (HPC) is rapidly becoming an integral part of Science,Engineering and Business. Scientists and engineers are leveraging HPC solutions to run their applications that require high bandwidth, low latency, and very high compute capabilities. General Purpose Graphics Processing Units (GPGPUs)are becoming more popular within the HPC community because of their highly parallel structure, […]

This thesis describes typical spectral imaging techniques and spectral image analysis algorithms that are in general use. Three developed spectral imaging systems are proposed. The first imaging system consists of two line scanning based spectral cameras. These cameras are combined in one simultaneous measuring process, which can be used for capturing a wide range of […]

We consider the recovery of sparse signals from a limited number of noisy observations using the AMP algorithm. In this paper, we present two fast implementations of this algorithm that run on a CPU and on a GPU and which can either be used for arbitrary unstructured measurement matrices or take advantage of the structure […]

The rendering of participating media still forms a big challenge for computer graphics. This remark is particularly true for real-world clouds with their inhomogeneous density distributions, large range of spatial scales and different forms of appearance. We survey techniques for cloud visualization and classify them relative to the type of volume representation, lighting and rendering […]

In this paper we present a real-time realization of the method of detection of local structures in images of predefined orientation. The method is based on an analysis of the structural tensor computed in monochrome and color images. Thanks to the GPU implementation of the low-level feature detection an order-of-magnitude speed-up was achieved compared to […]

ParCo2013 continues the tradition of the international conferences on parallel computing started in Berlin, Germany in 1983. This makes it one of the longest running international conferences on parallel computing. Over the years the conference established itself as the foremost platform for exchanging know-how on the newest parallel computing strategies, technologies, methods and tools. The […]

The XXXIV International Conference on Computational Physics is the premier forum for the presentation of new advances and research results in the fields of Computational Physics. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not […]

GTC advances awareness of high performance computing, and connects the scientists, developers, graphic artists, designers, researchers, engineers, and IT managers who use GPUs to tackle enormous computational challenges. GTC 2013 will feature the latest breakthroughs and the most amazing content in GPU-enabled computing. Spanning 4 full days of world-class education delivered by some of the […]

Graphical Processing Units (GPUs) can provide considerable computational advantages over multi-core CPU nodes or distributed networks by locally accelerating certain types of floating point operations. However, when processing and inverting exploration scale seismic datasets we encounter two key problems – compounded disk IO (explicit routing through the host is necessary) and the relatively small memory […]

In this letter, we present a new parallel implementation of the vertex component analysis (VCA) algorithm for spectral unmixing of remotely sensed hyperspectral data on commodity graphics processing units. We first developed a C serial version of the VCA algorithm and three parallel versions: one using NVIDIA’s Compute Unified Device Architecture (CUDA), another using CUDA […]