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Fast conservative garbage collection

dc.contributor.authorShahriyar, Rifat
dc.contributor.authorBlackburn, Stephen
dc.contributor.authorMcKinley, Kathryn
dc.date.accessioned2015-09-02T02:23:10Z
dc.date.available2015-09-02T02:23:10Z
dc.date.issued2014-10
dc.description.abstractGarbage collectors are exact or conservative. An exact collector identifies all references precisely and may move referents and update references, whereas a conservative collector treats one or more of stack, register, and heap references as ambiguous. Ambiguous references constrain collectors in two ways. (1) Since they may be pointers, the collectors must retain referents. (2) Since they may be values, the collectors cannot modify them, pinning their referents. We explore conservative collectors for managed languages, with ambiguous stacks and registers. We show that for Java benchmarks they retain and pin remarkably few heap objects: <0.01% are falsely retained and 0.03% are pinned. The larger effect is collector design. Prior conservative collectors (1) use mark-sweep and unnecessarily forgo moving all objects, or (2) use mostly copying and pin entire pages. Compared to generational collection, overheads are substantial: 12% and 45% respectively. We introduce high performance conservative Immix and reference counting (RC). Immix is a mark-region collector with fine linegrain pinning and opportunistic copying of unambiguous referents. Deferred RC simply needs an object map to deliver the first conservative RC. We implement six exact collectors and their conservative counterparts. Conservative Immix and RC come within 2 to 3% of their exact counterparts. In particular, conservative RC Immix is slightly faster than a well-tuned exact generational collector. These findings show that for managed languages, conservative collection is compatible with high performance.en_AU
dc.format9 pagesen_AU
dc.identifier.issn1523-2867en_AU
dc.identifier.urihttp://hdl.handle.net/1885/15085
dc.publisherAssociation for Computing Machinery (ACM)en_AU
dc.rights© 2014 ACMen_AU
dc.sourceACM SIGPLAN Noticesen_AU
dc.subjectSoftwareen_AU
dc.subjectVirtual Machinesen_AU
dc.subjectMemory managementen_AU
dc.subjectGarbage collectionen_AU
dc.titleFast conservative garbage collectionen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue10en_AU
local.bibliographicCitation.lastpage139en_AU
local.bibliographicCitation.startpage121en_AU
local.contributor.affiliationShahriyar, Rifat, Research School of Computer Science, College of Engineering and Computer Science, The Australian National Universityen_AU
local.contributor.affiliationBlackburn, Stephen M., Research School of Computer Science, College of Engineering and Computer Science, The Australian National Universityen_AU
local.contributor.authoruidu4771263en_AU
local.identifier.citationvolume49en_AU
local.identifier.doi10.1145/2660193.2660198en_AU
local.publisher.urlhttp://www.acm.org/en_AU
local.type.statusPublished Versionen_AU

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