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Cyclic Weighted Reference Counting

Lins, Rafael D., Jones, Richard E. (1993) Cyclic Weighted Reference Counting. In: WP & FP'93 Workshop on Parallel and Distributed Processing, Sofia, Bulgaria. . pp. 369-382. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21117)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

Weighted Reference Counting is a low communication distributed storage reclamation scheme for loosely-couple multiprocessors. The algorithm we present herein extends weighted reference counting to allow the collection of cyclic data structures. To do so, the algorithm identifies candidate objects that may be part of cycles and performs a tricolour mark-scan on their subgraph in a lazy manner to discover whether the subgraph is still in use. The algorithm is concurrent in the sense that multiple useful computation processes and garbage collection processes can be performed simultaneously. Keywords: Memory management, Distributed memory, Reference counting, Garbage collection. Introduction Computation on distributed systems involving several processors is already a reality. In a distributed multiprocessor system each processor is responsible for allocating and reclaiming structures residing in its local memory; interprocessor communication is far less efficient than local memory access...

Item Type: Conference or workshop item (Paper)
Additional information: Also in UKC Computing Laboratory Technical Report 95, December 1991, revised November 1992 ** Not Duplicate Record Title ** The records are different item types. see KAR records 21117 & 20985 PC 05/11/18
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
Depositing User: Richard Jones
Date Deposited: 11 Aug 2009 17:42 UTC
Last Modified: 16 Nov 2021 09:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21117 (The current URI for this page, for reference purposes)

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