Helmut Sedding

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We present a massively parallel object recognition system based on a cortex-like structure. Due to its nature, this general, biologically motivated system can be parallelized efficiently on recent many-core graphics processing units (GPU). By implementing the entire pipeline on the GPU, by rigorously optimizing memory bandwidth and by minimizing branch(More)
In this work, we introduce a single machine scheduling problem, in which the processing time of a job increases when its start time deviates from a given job dependent ideal time. This problem differs from similar problems found in literature by the fact that most time dependent problems only allow monotonic change in processing time. Its application lies(More)
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