Daniel Horn

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In this report we analyze the performance of the fast Fourier transform (FFT) on graphics hardware (the GPU), comparing it to the best-of-class CPU implementation FFTW. We describe the FFT, the architecture of the GPU, and how general-purpose computation is structured on the GPU.We then identify the factors that influence FFT performance and describe(More)
Within the last 10 years, many model-based multi-objective optimization algorithms have been proposed. In this paper, a taxonomy of these algorithms is derived. It is shown which contributions were made to which phase of the MBMO process. A special attention is given to the proposal of a set of points for parallel evaluation within a batch. Proposals for(More)
Using the 2008 cross-sectional wave of the survey Statistics on Income and Living Conditions (EU-SILC) and multi-level modeling techniques, this paper explores the macro-level determinants of the gender poverty gap in the ten post-socialist European Union member states. In dialogue with the literature on the impact of economic development on gender(More)
The paper looks at the link between inequality and voter turnout, and derives three hypothesis from previous literature. It is shown that inequality associates negatively with turnout at the national elections (hypothesis 1). Although this is not a very strong effect, but it is net of several factors affecting voter turnout that are empirically well proven(More)
Although apprenticeship training has been praised for its effectiveness in easing the transition of non-college-bound students from school to work, most studies rely on cross-country or cross-track comparisons. This study compares apprenticeship training students with non-apprentices within educational track in a relatively uncoordinated and decentralized(More)
Launched in 1997, the Tropical Rainfall Measuring Mission (TRMM) satellite is a joint effort of NASA and the Japanese Space Agency to improve the estimation and characterization of tropical rainfall. The TRMM satellite carries two instruments for measuring precipitation: a multifrequency passive microwave radiometer (TRMM Microwave Imager – TMI) and a 13.8(More)
Kernelized Support Vector Machines (SVMs) are among the best performing supervised learning methods. But for optimal predictive performance, time-consuming parameter tuning is crucial, which impedes application. To tackle this problem, the classic model selection procedure based on grid-search and cross-validation was refined, e.g. by data subsampling and(More)