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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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Van Antwerpen, D.G. (author)
Since the introduction of General-Purpose GPU computing, significant increase has been made in performance for regular path tracing. However, more advanced versions of path tracing such as BiDirectional Path Tracing (BDPT) and Energy Redistribution Path Tracing (ERPT) have not been implemented successfully so far due to their stochastic sampling...
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