Koparkar, Chaitanya S., Singhal, Vidush, Gupta, Aditya, Rainey, Mike, Vollmer, Michael, Pelenitsyn, Artem, Tobin-Hochstadt, Sam, Kulkarni, Milind, Newton, Ryan R. (2024) Garbage collection for mostly serialized heaps. In: ISMM 2024: Proceedings of the 2024 ACM SIGPLAN International Symposium on Memory Managem. . pp. 1-14. ACM E-ISBN 979-8-4007-0615-8. (doi:10.1145/3652024.3665512) (KAR id:106408)
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Official URL: https://doi.org/10.1145/3652024.3665512 |
Abstract
Over the years, traditional tracing garbage collectors have accumulated assumptions that may not hold in new language designs. For instance, we usually assume that run-time objects do not hold addressable sub-parts and have a size of at least one pointer. These fail in systems striving to eliminate pointers and represent data in a dense, serialized form, such as the Gibbon compiler. We propose a new memory management strategy for language runtimes with mostly serialized heaps. It uses a hybrid, generational collector, where regions are bump-allocated into the young generation and objects are bump-allocated within those regions. Minor collections copy data into larger regions in the old generation, compacting it further. The old generation uses region-level reference counting. The resulting system maintains high performance for data traversal programs, while significantly improving performance on other kinds of allocation patterns.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1145/3652024.3665512 |
Projects: | 17715 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Funders: |
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
National Science Foundation (https://ror.org/021nxhr62) |
Depositing User: | Michael Vollmer |
Date Deposited: | 24 Jun 2024 19:16 UTC |
Last Modified: | 05 Nov 2024 13:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106408 (The current URI for this page, for reference purposes) |
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