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BTW - Datenbanksysteme für Business, Technologie und Web

https://dl.gi.de/handle/20.500.12116/21080
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Auflistung BTW - Datenbanksysteme für Business, Technologie und Web nach Schlagwort "Adaptivity"

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  • Textdokument
    NeMeSys – Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems
    (BTW 2019, 2019) Krause, Alexander; Ungethüm, Annett; Kissinger, Thomas; Habich, Dirk; Lehner, Wolfgang
    NeMeSys is a NUMA-aware graph pattern processing engine, which leverages intelligent resource management for energy adaptive processing. With modern server systems incorporating an increasing amount of main memory, we can store graphs and compute analytical graph algorithms like graph pattern matching completely in-memory. Such server systems usually contain several powerful multiprocessors, which come with a high demand for energy. We demonstrate, that graph patterns can be processed in given performance constraints while saving energy, which would be wasted without proper controlling.