high performance computing on graphics processing units: hgpu.org

Fast growing computing power on commodity parallel hardware makes it both an opportunity and a challenge to use modern hardware for large-scale data management. While GPU (Graphics Processing Unit) computing is conceptually an excellent match for spatial data management which is both data and computing intensive, the complexity of multi-dimensional spatial indexing and query processing […]

As computing systems increase in size and parallelism, it becomes more and more difficult to balance workload during program execution. Heterogeneous systems further complicate the situation, as their different constituent compute resources may consume work at different rates, and may have affinity for different kinds of work. Traditional approaches to load-balancing fail to fully address […]

Recent graphics processing units (GPUs) have emerged as a promising platform for general purpose computing and have been shown to be very efficient in executing parallel applications with regular control and memory access behavior. Current GPU architectures primarily adopt the single-instruction multiple-thread (SIMT) programming model that balances programmability and hardware efficiency. With SIMT, the programmer […]

The on-chip power delivery network constitutes a vital subsystem of modern nanometer-scale integrated circuits, since it affects in a critical way the performance and correct operation of the devices. As technology scaling enters in the nanometer regime, there is an increasing need for accurate and efficient analysis of the power delivery network. The impact of […]

This thesis work presents a new algorithm for simulating fluid based on the Navier-Stokes equations. The algorithm is designed for cell based sandbox games where interactivity and performance are the main priorities. The algorithm enforces mass conservation conservatively instead of enforcing a divergence free velocity field. A global scale pressure model that simulates hydrostatic pressure […]

During times of stock market turbulence and crises, monitoring the clustering behaviour of financial instruments allows one to better understand the behaviour of the stock market and the associated systemic risks. In the study undertaken, I apply an effective and performant approach to classify data clusters in order to better understand correlations between stocks. The […]

The present report deals with the application of the algorithm for computation of electromagnetic field components using FDTD method developed by Kane Yee, to Cartesian meshes using total field formulation. For this purpose, code has been written for electromagnetic scattering computation in C language. For generation of code, some snippets from [1] have been used. […]

There is a significant reduction of processing time and speedup of performance in computer graphics with the emergence of Graphic Processing Units (GPUs). GPUs have been developed to surpass Central Processing Unit (CPU) in terms of performance and processing speed. This evolution has opened up a new area in computing and researches where highly parallel […]

We investigate the gains in precision and speed, that can be obtained by using Convolutional Networks (ConvNets) for on-the-fly retrieval – where classifiers are learnt at run time for a textual query from downloaded images, and used to rank large image or video datasets. We make three contributions: (i) we present an evaluation of state-of-the-art […]

In this memo we investigate the applicability of NVIDIA Graphics Processing Units (GPUs) for SKA1-Low station and Central Signal Processing (CSP)-level processing. Station-level processing primarily involves generating a single station beam which will then be correlated with other beams in CSP. Fine channelisation can be performed either at the station of CSP-level, while coarse channelisation […]

Two different types of computationally intensive problems have been researched to investigate the design methodology of the acceleration and to give a high-performance implementation on parallel architectures. Each problem was accelerated via a different architecture, and the results of the investigation were summarized in different thesis groups. The design methodology proposed in Thesis 1 can […]

In this paper, we propose new methods for building geological illustrations and animations. We focus on allowing geologists to create their subsurface models by means of sketches, to quickly communicate concepts and ideas rather than detailed information. The result of our sketch-based modelling approach is a layer-cake volume representing geological phenomena, where each layer is […]