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Thread-specific heaps for multi-threaded programs

Published: 16 October 2000 Publication History

Abstract

Garbage collection for a multi-threaded program typically involves either stopping all threads while doing the collection or involves copious amounts of synchronization between threads. However, a lot of data is only ever visible to a single thread, and such data should ideally be collected without involving other threads.
Given an escape analysis, a memory management system may allocate thread-specific data in thread-specific heaps and allocate shared data in a shared heap. Garbage collection of data in a thread-specific heaps can be done independent of other threads and of data in their thread-specific heaps. For multi-threaded programs, thread-specific heaps allow reduced garbage collection latency for active threads. On multi-processor computers, thread-specific heaps allow concurrent garbage collection of different thread-specific heaps with minimal synchronization overhead.
We present an escape analysis and a sample memory management system using thread-specific heaps.

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cover image ACM Conferences
ISMM '00: Proceedings of the 2nd international symposium on Memory management
October 2000
178 pages
ISBN:1581132638
DOI:10.1145/362422
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2000

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ISMM00
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ISMM00: International Symposium on Memory Management
October 15 - 16, 2000
Minnesota, Minneapolis, USA

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ISMM '00 Paper Acceptance Rate 18 of 39 submissions, 46%;
Overall Acceptance Rate 72 of 156 submissions, 46%

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  • (2015)Safe and efficient hybrid memory management for JavaACM SIGPLAN Notices10.1145/2887746.275418550:11(81-92)Online publication date: 14-Jun-2015
  • (2015)NumaGiCACM SIGARCH Computer Architecture News10.1145/2786763.269436143:1(661-673)Online publication date: 14-Mar-2015
  • (2015)NumaGiCACM SIGPLAN Notices10.1145/2775054.269436150:4(661-673)Online publication date: 14-Mar-2015
  • (2015)Safe and efficient hybrid memory management for JavaProceedings of the 2015 International Symposium on Memory Management10.1145/2754169.2754185(81-92)Online publication date: 14-Jun-2015
  • (2015)NumaGiCProceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/2694344.2694361(661-673)Online publication date: 14-Mar-2015
  • (2015)Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce ApplicationsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.234506826:8(2300-2315)Online publication date: 1-Aug-2015
  • (2014)Laws of concurrent programmingACM SIGPLAN Notices10.1145/2666356.260400249:6(168-168)Online publication date: 9-Jun-2014
  • (2014)A study of connected object locality in NUMA heapsProceedings of the workshop on Memory Systems Performance and Correctness10.1145/2618128.2618132(1-9)Online publication date: 13-Jun-2014
  • (2013)An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic AdvisingACM Transactions on Interactive Intelligent Systems10.1145/25135643:3(1-30)Online publication date: 1-Oct-2013
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