Jan Tepelmann

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In many applications, such as signal and image processing, most computation time is spent within loops. Therefore, these loops are ideal candidates for performance increase when moving to parallel architectures, such as multi- or many-core systems. However, manual parallelization of existing applications is a complex and cumbersome task. To leverage this,(More)
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