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Titlebook: Staat, Internet und digitale Gouvernementalität; Lorina Buhr,Stefanie Hammer,Hagen Schölzel Book 2018 Springer Fachmedien Wiesbaden GmbH 2

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Norbert Kerstingte node. While many APIs for GPU programming are vendor-specific, OpenMP offers a portable alternative. Therefore OpenMP target offloading is advantageous in terms of long-term code sustainability. Further, many applications have already been parallelized with OpenMP. Hence the amount of work needed
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Gary S. Schaal,Björn Ewert,Kelly Lancaster,Alexander Stulpefined either to variants explicitly written by the code author, which can cross translation units, or to implicit context passed by the compiler. The implicit context allows a . directive to choose a directive variant based on context or the compiler to optimize out runtime interactions. However, th
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John Cheney-Lippoldtion algorithm has become one of the research hotspots in the field of medical image processing. However, there are still several unsolved difficulties in this task: the existed methods are too sensitive to the low-frequency noise in the fundus images, and there are few annotated data sets available
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Lorina Buhr,Hagen Schölzelrsion, our optimizations can reduce offloading latencies by up to 92%, and raise application parallel efficiency by at least 25.2% when running with 16 GPUs. We then point out why strong scaling is still difficult with OpenMP remote offloading, and propose further improvements to the runtime to incr
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David Beerask-based multi-GPU implementation leads to better performance than generating deferrable tasks with the . clause..We demonstrate that data transfers and computations can be fully overlapped by using only the subset of the OpenMP specifications, which is supported in the 22.3 release of the Nvidia N
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