54 research outputs found

    Auto-Tuning Multicore Applications at Run-Time with a Cooperative Tuner

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    Emerging research directions in computer science : contributions from the young informatics faculty in Karlsruhe

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    In order to build better human-friendly human-computer interfaces, such interfaces need to be enabled with capabilities to perceive the user, his location, identity, activities and in particular his interaction with others and the machine. Only with these perception capabilities can smart systems ( for example human-friendly robots or smart environments) become posssible. In my research I\u27m thus focusing on the development of novel techniques for the visual perception of humans and their activities, in order to facilitate perceptive multimodal interfaces, humanoid robots and smart environments. My work includes research on person tracking, person identication, recognition of pointing gestures, estimation of head orientation and focus of attention, as well as audio-visual scene and activity analysis. Application areas are humanfriendly humanoid robots, smart environments, content-based image and video analysis, as well as safety- and security-related applications. This article gives a brief overview of my ongoing research activities in these areas

    Search Algorithms for Automatic Performance Tuning of Parallel Applications on Multicore Platforms

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    Software Engineering for Multicore Systems - An Experience Report

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    Parallelizing BZip2 : a Case Study in Multicore Software Engineering

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    Evolutionary Auto-Tuning for Multicore Applications

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