NDLI: A reference-counting garbage collection algorithmfor cyclical functional programming

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A reference-counting garbage collection algorithmfor cyclical functional programming

Content Provider	ACM Digital Library
Author	Trancón y Widemann, Baltasar
Abstract	Reference-counting garbage collection is known to have problems with the collection of cyclically connected data. There are two historically significant styles of cycle-aware algorithms: The style of Brownbridge that maintains a subset of marked edges and the invariant that every cycle contains at least one marked edge, and the style of Martinez-Lins-Wachenchauzer (MLW) that involves local mark-and-scan procedures to detect cycles. The former is known to be difficult to design and implement correctly, and the latter to have pathological efficiency for a number of very typical situations. We present a novel algorithm that combines both approaches to obtain reasonably efficient local mark-and-scan phases with a marking invariant that is rather cheap to maintain. We demonstrate that the assumptions of this algorithm about mutator activity patterns make it well-suited, but not limited, to a functional programming technique for cyclic data. We evaluate the approach in comparison with simple and more sophisticated MLW algorithms using a simple benchmark based on that functional paradigm.
Starting Page	71
Ending Page	80
Page Count	10
File Format	PDF
ISBN	9781605581347
DOI	10.1145/1375634.1375645
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-06-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Garbage collection Cycles Memory management Functional programming Reference counting
Content Type	Text
Resource Type	Article

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