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2014 | OriginalPaper | Chapter

The Adaptive Priority Queue with Elimination and Combining

Authors : Irina Calciu, Hammurabi Mendes, Maurice Herlihy

Published in: Distributed Computing

Publisher: Springer Berlin Heidelberg

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Priority queues are fundamental abstract data structures, often used to manage limited resources in parallel programming. Several proposed parallel priority queue implementations are based on skiplists, harnessing the potential for parallelism of the

add()

operations. In addition, methods such as Flat Combining have been proposed to reduce contention, batching together multiple operations to be executed by a single thread. While this technique can decrease lock-switching overhead and the number of pointer changes required by the

removeMin()

operations in the priority queue, it can also create a sequential bottleneck and limit parallelism, especially for non-conflicting

add()

operations.

In this paper, we describe a novel priority queue design, harnessing the scalability of parallel insertions in conjunction with the efficiency of batched removals. Moreover, we present a new elimination algorithm suitable for a priority queue, which further increases concurrency on balanced workloads with similar numbers of

add()

and

removeMin()

operations. We implement and evaluate our design using a variety of techniques including locking, atomic operations, hardware transactional memory, as well as employing adaptive heuristics given the workload.

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Metadata
Title
The Adaptive Priority Queue with Elimination and Combining
Authors
Irina Calciu
Hammurabi Mendes
Maurice Herlihy
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-45174-8_28

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