Searched for: department:"Software%5C%2BTechnology"
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Turi, D. (author)
In recent years the study of complex systems gained prominence. Since it is usually difficult to use classical mathematic models to understand these systems, scientists and engineers have to resort to simulations. Currently programming languages like CUDA C and OpenCL are available to run large scale simulations on a GPU architecture....
master thesis 2013
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Hemminga, S. (author)
In the last few years, the computing industry has changed its course from ever higher clock speeds to multi- and many-core systems. These new parallel systems su?er a “programmability gap”: there is a large gap between the performance a platform is theoretically capable of, and what the programmer is able to achieve. Early programming models...
master thesis 2011
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Chitchian, M.M. (author)
The particle filter is a Bayesian estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian systems. This greater filtering accuracy, however, comes at the price of increased computational complexity which limits their practical use for real-time applications...
master thesis 2011