Fast concurrent queues for x86 processors

Author:

Morrison Adam1,Afek Yehuda1

Affiliation:

1. Tel Aviv University, Tel Aviv, Israel

Abstract

Conventional wisdom in designing concurrent data structures is to use the most powerful synchronization primitive, namely compare-and-swap (CAS), and to avoid contended hot spots. In building concurrent FIFO queues, this reasoning has led researchers to propose combining-based concurrent queues. This paper takes a different approach, showing how to rely on fetch-and-add (F&A), a less powerful primitive that is available on x86 processors, to construct a nonblocking (lock-free) linearizable concurrent FIFO queue which, despite the F&A being a contended hot spot, outperforms combining-based implementations by 1.5x to 2.5x in all concurrency levels on an x86 server with four multicore processors, in both single-processor and multi-processor executions.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference23 articles.

1. Power ISA Version 2.06. http://www.power.org/resources/downloads/PowerISA_V2.06B_V2_PUBLIC.pdf January 2009. Power ISA Version 2.06. http://www.power.org/resources/downloads/PowerISA_V2.06B_V2_PUBLIC.pdf January 2009.

2. Combinable memory-block transactions

3. Scalable room synchronizations;Blelloch G. E.;Theory of Computing Systems,2003

4. Formal verification of an array-based nonblocking queue

5. Lock cohorting

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