high performance computing on graphics processing units: hgpu.org

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 […]

The use of coprocessors or accelerators such as graphics processing units (GPUs) has become popular in scientific computing applications due to their low cost, impressive floating-point capabilities, high memory bandwidth, and low electrical power requirements. Hybrid high-performance computers, defined as machines with nodes containing more than one type of floating-point processor (e.g. CPU and GPU), […]

Performance of shared memory processors show negative performance impulses (drawbacks) in certain regions for execution of the basic matrix multiplication algorithm. In this paper we continue with analysis of GPU memory hierarchy and corresponding cache memory organization. We give a theoretical analysis why a negative performance impulse appears for specifics problem sizes. The main reason […]

Stencil computations are an integral part of applications in a number of scientific computing domains, such as image processing and partial differential equations. We describe a domain-specific language for regular stencil computations, that allows specification of the computations in a concise manner. We describe a multi-target compiler for this DSL, that generates optimized code for […]

Modern-day computer security relies heavily on cryptography as a means to protect the data that we have become increasingly reliant on. As the Internet becomes more ubiquitous, methods of security must be better than ever. Validation tools can be leveraged to help increase our confidence and accountability for methods we employ to secure our systems. […]

This project seeks to produce an algorithm for fast lossless compression of data. This is attempted by utilisation of the highly parallel graphic processor units (GPU), which has been made easier to use in the last decade through simpler access. Especially nVidia has accomplished to provide simpler programming of GPUs with their CUDA architecture. I […]

In real-time video processing data transfer between CPU and GPU is a time critical action; time spent transferring data is processing time lost. Several variants of standard transfer methods were developed and evaluated on nine computers and two smart decision algorithms was designed to help choose the fastest method for each occasion. Results showed that […]

We present an extension of a GPU-based matrix inversion algorithm for distributed memory contexts. Specifically, we implement and evaluate a message-passing variant of the Gauss-Jordan method (GJE) for matrix inversion on a cluster of nodes equipped with GPU hardware accelerators. The experimental evaluation of the proposal shows a significant runtime reduction when compared with both […]

Granular mechanics plays an important role in many branches of science and engineering, from astrophysics applications in planetary and interstellar dust clouds, to processing of industrial mixtures and powders. In this context, a granular simulation model with improved adhesion and friction, is implemented within the open source code LAMMPS (lammps.sandia.gov). The performance of this model […]