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NeMeSys – Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems

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dc.contributor.authorKrause, Alexander
dc.contributor.authorUngethüm, Annett
dc.contributor.authorKissinger, Thomas
dc.contributor.authorHabich, Dirk
dc.contributor.authorLehner, Wolfgang
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:32Z
dc.date.available2019-04-11T07:21:32Z
dc.date.issued2019
dc.description.abstractNeMeSys 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.en
dc.identifier.doi10.18420/btw2019-40
dc.identifier.isbn978-3-88579-683-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21727
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.subjectGraph
dc.subjectPattern Matching
dc.subjectNUMA
dc.subjectAdaptivity
dc.subjectEnergy
dc.titleNeMeSys – Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systemsen
gi.citation.endPage541
gi.citation.startPage537
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleDemonstrationen

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