Michal Gorawski
The problem of load balancing is one of the crucial features in distributed data warehouse systems. In this article original load balancing algorithms are presented. The Adaptive Load Balancing Algorithms for Queries (ALBQ) and the algorithms that use grammars and learning machines in managing the ETL process. These two algorithms base the load balancing on […]
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Donald Lloyd van Blommestein
This thesis brings together productivity and risk assessments through innovative design, development and evaluation of a unique system for retrieving and analysing data. In the past, although the link between them is well-documented, these assessments have largely been dealt with as separate antagonist entities. A broad evaluation of the existing traditional and technological support systems […]
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Nicolae Goga, Siewert Marrink, Ruxandra Cioromela, Florica Moldoveanu
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynamics systems developed by the Molecular Dynamics Group, University of Groningen, the Netherlands. One should note that molecular dynamics simulations are time-consuming simulations of systems, running time ranging from days to weeks and months. Therefore parallelization is a key issue […]
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Patrick Nigri Happ, Raul Queiroz Feitosa, Cristiana Bentes, Ricardo Farias
This paper proposes a parallel region growing image segmentation algorithm for Graphics Processing Units (GPU). It is inspired in a sequential algorithm widely used by the Geographic Object Based Image Analysis (GEOBIA) community. Initially, all image pixels are considered as seeds or primitive segments. Fine grained parallel threads assigned to individual pixels merge adjacent segments […]
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Sebastian Bress, Stefan Kiltz, Martin Schaler
Recently, using GPUs for coprocessing in database systems has been shown to be beneficial. However, information systems processing confidential data cannot benefit from GPU acceleration yet because knowledge of security issues and forensicexaminations on GPUs are still fragmentary. In this paper, we point out key challenges and research questions related to forensics and anti-forensics on […]
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Tunhua Wu, Baogang Bai, Ping Wang
In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed. Catmull-Rom Spline algorithm for image zooming was reformed into SIMD (Single instruction, multiple data) mode according to CUDA programming model. Re-sampling of each pixel was completed by a GPU thread. Hence, time-consuming re-sampling procedure of the whole zooming process were handled […]
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Dustin Lockhart Arendt
Many who study complex systems believe that the complexity we observe in the world around us is frequently the product of a large number of interactions between components following a simple rule. However, the task of discerning the rule governing the evolution of any given system is often quite difficult, requiring intuition, guesswork, and a […]
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P. N. Happ, R. Q. Feitosa, C. Bentes, R. Farias
Image segmentation is a computationally expensive task that continuously presents performance challenges due to the increasing volume of available high resolution remote sensing images. Nowadays, Graphics Processing Units (GPUs) are emerging as an attractive computing platform for general purpose computations due to their extremely high floating-point processing performance and their comparatively low cost. In the […]
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Yuri Torres, Arturo Gonzalez-Escribano, Diego Llanos
Programming models and techniques to exploit parallelism in accelerators, such as GPUs, are different from those used in traditional parallel models for shared- or distributed-memory systems. It is a challenge to blend different programming models to coordinate and exploit devices with very different characteristics and computation powers. This paper presents a new extensible framework model […]
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Christian DeLozier
Modern programmers must exploit parallelism for performance gains, possibly through the use of an attached or on-chip GPU. To take advantage of the GPU in C++ programs, the programmer must use either a new language (CUDA or OpenCL) or an external library (Thrust). Rather than requiring that programmers learn new tools, modify existing code, and […]
Lumir Janosek, Martin Nemec
This article presents the possibility of parallelization of calculating polynomial approximations with large data inputs on GPU using NVIDIA CUDA architecture. Parallel implementation on the GPU is compared to the single thread CPU implementation. Despite the enormous computing power of today’s graphics cards there is still a problem with the speed of data transfer to […]
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Alexander Loffler, Lukas Marsalek, Hilko Hoffmann, Philipp Slusallek
In the field of aircraft design, interior illumination increasingly becomes an important design element. Different illumination scenarios inside an aircraft cabin are considered to influence the mood of air passengers, help passengers to be better prepared for time lags and to create an overall positive environment. Consequently, a physically correct and realistic lighting simulation becomes […]
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