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Time Matters: Minimizing Garbage Collection Overhead with Minimal Effort

dc.contributor.authorBlaschek, Günther
dc.contributor.authorLengauer, Philipp
dc.date.accessioned2023-03-13T10:09:58Z
dc.date.available2023-03-13T10:09:58Z
dc.date.issued2015
dc.description.abstractParameterization of garbage collectors can help improving the overall run time of programs, but finding the best parameter combination is a tedious task. We used a simple brute-force optimization algorithm for the Java Parallel GC to study the behavior of benchmarks with thousands of configurations. As a result of this study, we propose a practically usable strategy for finding a “good” parameter combination with a small number of experiments. Using this strategy, only 10 configurations need to be tested in order to reduce the garbage collection time down to 21% (56% on average). For the studied benchmarks, this results in an overall performance gain of up to 13%.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40781
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 35, Heft 3
dc.subjectMemory management (garbage collection)
dc.titleTime Matters: Minimizing Garbage Collection Overhead with Minimal Efforten
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleSonderteil: Proceedings of the Symposium on Software Performance (SSP) 2015, 4. - 6. November 2015, Munich, Germany

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