high performance computing on graphics processing units: hgpu.org

We have seen more and more interest in taking advantage of GPUs to accelerate simulations. However, the RNGs driving these simulations tend to be existing CPU generators that have been converted for use on GPUs. The result is a generator that does not efficiently utilise the resources and constraints of that architecture. Consequently, the performance […]

Computer modelling has been used for a number of years already to aid financial institutions in making business decisions. One such decision that financial firms are often faced with involves setting fair prices for financial options. Since the process of option pricing can be computationally expensive, methods of optimising it are sought after. One popular […]

The k-nearest neighbours (k-NN) search is one of the most critical nonparametric methods used in data retrieval and similarity tasks. Over recent years fast k-NN processing for large amount of high-dimensional data is increasingly demanded. Locality-sensitive hashing is a viable solution for computing fast approximate nearest neighbours (ANN) with reasonable accuracy. This chapter presents a […]

Graphical Processing Units (GPUs) have become popular recently due their highly parallel shared-memory architectures. The computational challenge posed by NP-Hard problems makes them potential targets to GPU-based computations, especially when solved by exact exponential-time algorithms. Using the classical NP-hard Vertex Cover problem as a case study, we provide a framework for GPU-based solutions by exploiting […]

The increasing incorporation of Graphics Processing Units (GPUs) as accelerators has been one of the forefront High Performance Computing (HPC) trends and provides unprecedented performance; however, the prevalent adoption of the Single-Program Multiple-Data (SPMD) programming model brings with it challenges of resource underutilization. In other words, under SPMD, every CPU needs GPU capability available to […]

Two recent methods for the fast simulation of the building airflow are studied: the fast fluid dynamics (FFD) algorithm and the use of graphic processing unit (GPU) for scientific computing in building engineering. A GOOGLE SketchUp plug-in for the FFD program was also developed as a model-creating tool to enhance the accessibility of the operation […]

Over the last few years, running high performance computing applications in the cloud has become feasible. At the same time, GPGPUs are delivering unprecedented performance for HPC applications. Cloud providers thus face the challenge to integrate GPGPUs into their virtualized platforms, which has proven difficult for current virtualization stacks. In this paper, we present LoGV, […]

An implementation with the CUDA technology in a single and in several graphics processing units (GPUs) is presented for the calculation of the forward modeling of gravitational fields from a tridimensional volumetric ensemble composed by unitary prisms of constant density. We compared the performance results obtained with the GPUs against a previous version coded in […]

We present a multi-frontal direct solver for two dimensional isogeometric finite element method simulations with NVIDIA CUDA and perform numerical experiments for linear, quadratic and cubic B-splines. We compare the computational cost O(Np^2) for 2D parallel shared memory implementation with the corresponding estimate O(N^1.5p^3) for a standard 2D sequential implementation. We conclude the presentation with […]

Fast 4pi solid angle particle track recognition has been a challenge in particle physics for a long time, especially in using nuclear emulsion detectors. The recent advances in computing technology opened the way for its realization. A fast 4pi solid angle particle track reconstruction based on GPU technology combined with a multithread programming is reported […]

With the emergence of social networks and improvements in computational photography, billions of JPEG images are shared and viewed on a daily basis. Desktops, tablets and smartphones constitute the vast majority of hardware platforms used for displaying JPEG images. Despite the fact that these platforms are heterogeneous multicores, no approach exists yet that is capable […]

Since 2004, the clock frequency of CPUs has not increased significantly. Computer Vision applications have an increasing demand for more processing power and are limited by the performance capabilities of sequential processor architectures. The only way to get better performance using commodity hardware is to adopt parallel programming. Many other related research projects have considered […]