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Vincent Boerjan
SMARAD is the Smart and Novel Radios research unit at Aalto University in Helsinki. In the context of their smart radio research the area of influence of existing television transmitters is important data for the placement of experimental transmitters. Currently these areas are calculated with a regular Voronoi tessellation ignoring variation in transmitter characteristics. This […]
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Lai-Huei Wang
Dataflow models are widely used for expressing the functionality of digital signal processing (DSP) applications due to their useful features, such as providing formal mechanisms for description of application functionality, imposing minimal data-dependency constraints in specifications, and exposing task and data level parallelism effectively. Due to the increased complexity of dynamics in modern DSP applications, […]
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Lokendra Singh Panwar
Today, heterogeneous computing has truly reshaped the way scientists think and approach high-performance computing (HPC). Hardware accelerators such as general-purpose graphics processing units (GPUs) and Intel Many Integrated Core (MIC) architecture continue to make in-roads in accelerating large-scale scientific applications. These advancements, however, introduce new sets of challenges to the scientific community such as: selection […]
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Tyler Rey Sorensen
Graphics Processing Units (GPUs) are highly parallel shared memory microprocessors, and as such, they are prone to the same concurrency considerations as their traditional multicore CPU counterparts. In this thesis, we consider shared memory consistency, i.e. what values can be read when issued concurrently with writes on current GPU hardware. While memory consistency has been […]
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David Markvica
The longest common subsequence (LCS) problem is one of the classic problems in string processing. It is commonly used in file comparison, pattern recognition, and computational biology as a measure of sequence similarity. Given a set of strings, the LCS is the longest string that is a subsequence of every string in the set. For […]
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David D. Prentiss
This work introduces a bilevel, stochastic optimization problem aimed at robust, regional evacuation network design and shelter location under uncertain hazards. A regional planner, acting as a Stackelberg leader, chooses among evacuation-route contraflow operation and shelter location to minimize the expected risk exposure to evacuees. Evacuees then seek an equilibrium with respect to risk exposure […]
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Thomas Kovac
As multiple sclerosis is known to cause atrophy and deformation in the brain, it also influences the shape and size of the corpus callosum. Longitudinal studies try to quantify these changes using medical image analysis techniques for measuring and analyzing the shape and size of a corpus callosum cross-sechtion embedded in a specially selected measurement […]
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Piotr Przymus
In recent years, processing and exploration of time series has experienced a noticeable interest. Growing volumes of data and needs of efficient processing pushed the research in new directions, including hardware based solutions. Graphics Processing Units (GPU) have significantly more applications than just rendering images. They are also used in general purpose computing to solve […]
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Jing Wu
An emerging trend in processor architecture seems to indicate the doubling of the number of cores per chip every two years with same or decreased clock speed. Of particular interest to this thesis is the class of many-core processors, which are becoming more attractive due to their high performance, low cost, and low power consumption. […]
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Fabio Miguel Cardoso Soldado
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the […]
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Alexander Schade
We have shown how the Fourier spectrum and the power spectral density can be estimated in concrete measurements. Moreover, we have derived spectral leakage, which is a systematic error in spectrum computation. The Nyquist-Shannon sampling theorem and aliasing have been discussed. Furthermore, we have implemented a spectrum analyzer using a combination of LabView, GPU computing […]
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Amrit Panda
Stream processing has emerged as an important model of computation especially in the context of multimedia and communication sub-systems of embedded System-on-Chip (SoC) architectures. The dataflow nature of streaming applications allows them to be most naturally expressed as a set of kernels iteratively operating on continuous streams of data. The kernels are computationally intensive and […]
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