NDLI: A new approach to parallelising tracing algorithms

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A new approach to parallelising tracing algorithms

Content Provider	ACM Digital Library
Author	Oancea, Cosmin E. Mycroft, Alan Watt, Stephen M.
Abstract	Tracing algorithms visit reachable nodes in a graph and are central to activities such as garbage collection, marshaling etc. Traditional sequential algorithms use a worklist, replacing a nodes with their unvisited children. Previous work on parallel tracing is processor-oriented in associating one worklist per processor: worklist insertion and removal requires no locking, and load balancing requires only occasional locking. However, since multiple queues may contain the same node, significant locking is necessary to avoid concurrent visits by competing processors. This paper presents a memory-oriented solution: memory is partitioned into segments and each segment has its own worklist containing only nodes in that segment. At a given time at most one processor owns a given worklist. By arranging separate single-reader-single-writer forwarding queues to pass nodes from processor i to processor j we can process objects in an order that gives lock-free mainline code and improved locality of reference. This refactoring is analogous to the way in which a compiler changes an iteration space to eliminate data dependencies. While it is clear that our solution can be more effective on NUMA systems and even necessary when processor-local memory may not be addressed from other processors, slightly surprisingly, it often gives significantly better speed-up on modern multi-cores architectures too. Using caches to hide memory latency loses much of its effectiveness when there is significant cross-processor memory contention or when locking is necessary.
Starting Page	10
Ending Page	19
Page Count	10
File Format	PDF
ISBN	9781605583471
DOI	10.1145/1542431.1542434
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Memory-centric tracing algorithm Parallel
Content Type	Text
Resource Type	Article

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