high performance computing on graphics processing units: hgpu.org

General-purpose computing on graphics processing units, also known as GPGPU, is a burgeoning technique to enhance the computation of parallel programs. Applying this technique to real-time applications, however, requires additional support for timeliness of execution. In particular, the non-preemptive nature of GPGPU, associated with copying data to/from the device memory and launching code onto the […]

The linear algebraic equations solution is quite a frequent task within numerical mathematics. One might often find problems while solving problems of the ill-conditioned matrix. The solution stability cannot be ensured for large dense sets of linear equations. Rounding error during the numerical computation cannot be tolerated. There are methods developed that minimize the influence […]

Streamit lets users explore visualizations of text streams without prior knowledge of the data. It incorporates incoming documents from a continuous source into an existing visualization context with automatic grouping and separation based on document similarities. A powerful user interface allows in-depth data analysis.

The 2012 International Conference on Network Computing and Information Security (NCIS’12) and the 2012 International Conference on Multimedia and Signal Processing (CMSP’12) will be jointly held at Shanghai, China in December 7-9, 2012. NCIS’12- CMSP’12 aims to provide a high-level international forum for scientists and researchers to present the state of the art of Network […]

Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of cross-fertilisation of parallel and distributed technologies with other rapidly evolving technologies such as telecommunications and multimedia. It is of paramount importance to review […]

Numerical models have been used extensively in the last decades to understand and predict weather phenomena and the climate. In general, models are classified according to their operation domain: global (entire Earth) and regional (country, state, etc). Global models have spatial resolution of about 0.2 to 1.5 degrees of latitude and therefore cannot represent very […]

This module is largely stand-alone. It is "Part II" only in the sense that it does not contain the overview of dynamic programming seen in Part I, and does not recapitulate the introduction to CUDA. We will continue to refer the reader to various NVIDIA references where appropriate, particularly the NVIDIA CUDA C Programming Guide, […]

In this paper we introduce efficient parallel algorithms for finding the girth in a graph or digraph, where girth is the length of a shortest cycle. We empirically compare our algorithms by using two common APIs for parallel programming in C++, which are OpenMP for multiple CPUs and CUDA for multi-core GPUs. We conclude that […]

Lately, programmers have started to take advantage of GPU capabilities of cloud-based machines. Using the GPUs can decrease the number of nodes required to perform the computation by increasing the productivity per node. We combine Hadoop, a widely-used MapReduce framework, with Aparapi, a new Java-to-OpenCL conversion tool from AMD. We propose an easy-to-use API which […]

In this paper, we propose a compilation tool-chain supporting the effective exploitation of multi-core architectures offering hundreds of cores. The tool-chain leverages on both the application requirements and the platform-specific features to provide developers with a powerful parallel-programming environment able to generate efficient parallel code. The design of parallel applications follows a semi-automatic approach enabling […]

We have used Graphics Processing Units (GPUs) to accelerate the solution of the types of equations typically encountered in dynamic system simulators. Compared to commercial matrix solvers that run on a CPU, we realized speedups ranging from 5 (for system size ~700) to 460 (for system size ~5800). While calculation time for the commercial matrix […]

This bachelor thesis carries out a case study describing the performance and productivity of modern vector processors such as graphics processing units (GPUs) and central processing units (CPUs) based on three different computational routines arising from a magnetoencephalography application. I apply different programming paradigms to these routines targeting either the CPU or the GPU. Furthermore, […]