high performance computing on graphics processing units: hgpu.org

Physical system models that consist of thousands of ordinary differential equations can be synthesized to field-programmable gate arrays (FPGAs) for highly-parallelized, real-time physical system emulation. Previous work introduced synthesis of custom networks of homogeneous processing elements, consisting of processing elements that are either all general differential equation solvers or are all custom solvers tailored to […]

Image reconstruction is a process of obtaining the original image from corrupted data. Applications of image reconstruction include Computer Tomography, radar imaging, weather forecasting etc. Recently steering kernel regression method has been applied for image reconstruction [1]. There are two major drawbacks in this technique. Firstly, it is computationally intensive. Secondly, output of the algorithm […]

With the rapid growth of Internet, E-mail, with its convenient and efficient characteristics, has become an important means of communication in people’s life. It reduces the cost of communication. It comes with Spam. Spam emails, also known as "junk e-mails", are unsolicited one’s sent in bulk with hidden or forged identity of the sender, address, […]

With the increased processing required in the last years, and the search for devices with better performance, started in computing a need to parallelize processing, making it possible to support the performance of software and algorithms requiring high processing pattern. It’s possible to use the processing power of devices like the GPU to run parallel […]

While multi-core architectures allow for high performance gains, the use of a specialized framework is often required to maximize the use of the available hardware. This paper compares the performance of three different frameworks, Cilk, Kaapi and CUDA, in implementing the Jacobi method.

GPU acceleration is a promising approach to speed up query processing of database systems by using low cost graphic processors as coprocessors. Two major trends have emerged in this area: (1) The development of frameworks for scheduling tasks in heterogeneous CPU/GPU platforms, which is mainly in the context of coprocessing for applications and does not […]

Voronoi diagrams are fundamental data structures in computational geometry with several applications on different fields inside and outside computer science. This paper shows a CUDA algorithm to compute Voronoi diagrams on a 2D image where the distance between points cannot be directly computed in the euclidean plane. The proposed method extends an existing Dijkstra-based GPU […]

Today top ranked HPC systems feature several GPUs which present high processing speed at low power budget with various parallel applications. Many scientific applications still claim for even more computing speed than the available today. A general approach to provide more processing speed is to scale the system. However, aspects such as interference, the amount […]

The algorithmic and implementation principles are explored in gainfully exploiting GPU accelerators in conjunction with multicore processors on high-end systems with large numbers of compute nodes, and evaluated in an implementation of a scalable block tridiagonal solver. The accelerator of each compute node is exploited in combination with multicore processors of that node in performing […]

For the fast transient dam break flooding with floating bodies presented through intricate city layouts, the traditional grid-based method based on solving two dimensional (2D) Shallow Water Equations or three dimensional (3D) Reynolds-averaged Navier-Stokes equations have difficulty in modelling the 3D unsteady flow features and the moving objects in the flow, causing inaccuracies. In this […]

For large software systems, refactoring activities can be a challenging task, since for keeping component complexity under control the overall architecture as well as many details of each component have to be considered. Product metrics are therefore often used to quantify several parameters related to the modularity of a software system. This paper devises an […]

Advanced applications of CFD for multiphysics modelling of electrokinetic, capillary, turbulent and rarefied hypersonic flows is discussed in this paper. Due the complexity of the geometry involved and the underlying physics associated with the phenomena to be studied, multiphysics study requires enormous computational resources. The CFD computations are performed within a parallel environment for accelerating […]