high performance computing on graphics processing units: hgpu.org

We present a distributed architecture for accelerated pre-processing of remote sensing data for immediate terrain visualization. Interactive 3D visualization approaches for large terrain datasets employ level of detail techniques that require a multi-resolution data representation. The high computational cost of constructing these representations is often not viewed as a major drawback, as it is considered […]

Cosmological simulations play an important role in understanding the evolution of our universe. Since the experiments on the formation of galaxies cannot be performed in laboratory, simulation is the only way to understand this phenomenon. The cosmological simulations are usually modelled as N-body problems. The Barnes-Hut (BH) tree code algorithm is one of the popular […]

Simulation of the behaviour of a ship operating in pack ice is a computationally intensive process to which General Purpose Computing on Graphical Processing Units (GPGPU) can be applied. In this paper we present an efficient parallel implementation of such a simulator developed using the NVIDIA Compute Unified Device Architecture (CUDA). We have conducted an […]

Source-to-Source optimization is an efficient method to generate, from a basic implementation, a high performance program for the two main challenges that are irregular codes and heterogeneous implementation. In the last decade, general purpose CPUs moved towards multi-core architectures, and the end of the increase in processors frequency marked a turning point obtaining the best […]

At present, multi-core and manycore platforms lead the computer industry, forcing software developers to adopt new programming paradigms, in order to fully exploit their computing capabilities. Nowadays, Graphics Processing Units (GPUs) are one of representatives of many-core architectures, and certainly the most widespread. This paper evaluates and compares tool frameworks that automatically generate code for […]

Processing vast numbers of data streams is a common problem in modern computer systems and is known as the "online big data problem." Adding hard real-time constraints to the processing makes the scheduling problem a very challenging task that this paper aims to address. In such an environment, each data stream is manipulated by a […]

We present a new split-type algorithm for the minimization of a p-harmonic energy with added data fidelity term. The half-quadratic splitting reduces the original problem to two straightforward problems, that can be minimized efficiently. The minimizers to the two sub-problems can typically be computed pointwise and are easily implemented on massively parallel processors. Furthermore the […]

Fast parallel processing capability of general purpose Graphic Processing Units (GPU) can be exploited to accelerate the precoding calculation needed in spatially multiplexed wireless communication systems. In this paper, a GPU-based implementation of the well-known multiuser TomlinsonHarashima precoding (THP) scheme combined with a latticereduction (LR) stage is presented. The proposed approach allows the LR stage […]

This paper presents the Load Balancing for OpenCL (lbcl) library, devoted to automatically solve load balancing issues on both multi-platform and heterogeneous environments. Using this library, a single kernel can be executed on a set of heterogeneous devices, giving each device an amount of work proportional to its computing power. A wrapper has been developed […]

GPUs and other accelerators are available on many different devices, while GPGPU has been massively adopted by the HPC research community. Although a plethora of libraries and applications providing GPU support are available, the need of implementing new algorithms from scratch, or adapting sequential programs to accelerators, will always exist. Writing CUDA or OpenCL codes, […]

We present a parallel implementation for Graphics Processing Units (GPUs) of a model based on cellular automata (CA) to simulate laser dynamics. A cellular automaton is an inherent parallel type of algorithm that is very suitable to simulate complex systems formed by many individual components which give rise to emergent behaviours. We exploit the parallel […]

In this paper a two-phase filter for removing "salt and pepper" noise is proposed. In the first phase, an adaptive median filter is used to identify the set of the noisy pixels; in the second phase, these pixels are restored according to a regularization method, which contains a data-fidelity term reflecting the impulse noise characteristics. […]