Jones, Richard E. and King, A.C. (2005) A fast analysis for thread-local garbage collection with dynamic class loading. In: Fifth IEEE International Workshop on Source Code Analysis and Manipulation (SCAM'05). IEEE, pp. 129-138. ISBN 978-0-7695-2292-0. (doi:10.1109/SCAM.2005.1) (KAR id:49521)
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PDF (A Fast Analysis for Thread-Local Garbage Collection with Dynamic Class Laoding)
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| Official URL: http://dx.doi.org/10.1109/SCAM.2005.1 |
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Abstract
Long-running, heavily multi-threaded, Java server applications make stringent demands of garbage collector (GC) performance. Synchronisation of all application threads before garbage collection is a significant bottleneck for JVMs that use native threads. We present a new static analysis and a novel GC framework designed to address this issue by allowing independent collection of thread-local heaps. In contrast to previous work, our solution safely classifies objects even in the presence of dynamic class loading, requires neither write-barriers that may do unbounded work, nor synchronisation, nor locks during thread-local collections; our analysis is sufficiently fast to permit its integration into a high-performance, production-quality virtual machine.
| Item Type: | Book section |
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| DOI/Identification number: | 10.1109/SCAM.2005.1 |
| Uncontrolled keywords: | Java programming language, Multiprocessing systems, Servers, Synchronization, Virtual reality, Dynamic class loading, Garbage collector (GC), Java server applications, Data reduction |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Richard Jones |
| Date Deposited: | 14 Jul 2015 15:26 UTC |
| Last Modified: | 20 May 2025 10:16 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/49521 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-8159-0297
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