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Transactional memory: architectural support for lock-free data structures

Herlihy, Maurice, Moss, J. Eliot B.·1993·Proceedings of the 20th annual international symposium on Computer architecture - ISCA '93

Abstract

A shared data structure is lock-free if its operations do not require mutual exclusion. If one process is interrupted in the middle of an operation, other processes will not be prevented from operating on that object. In highly concurrent systems, lock-free data structures avoid common problems associated with conventional locking techniques, including priority inversion, convoying, and difficulty of avoiding deadlock. This paper introduces transactional memory, a new multiprocessor architecture intended to make lock-free synchronization as efficient (and easy to use) as conventional techniques based on mutual exclusion. Transactional memory allows programmers to define customized read-modify-write operations that apply to multiple, independently-chosen words of memory. It is implemented by straightforward extensions to any multiprocessor cache-coherence protocol. Simulation results show that transactional memory matches or outperforms the best known locking techniques for simple benchmarks, even in the absence of priority inversion, convoying, and deadlock.

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Metadata

Authors
Herlihy, M., & Moss, J. E. B.
Venue
Proceedings of the 20th annual international symposium on Computer architecture - ISCA '93
Publisher
ACM Press
Published
1993
Pages
289-300
ISSN
1063-6897 (ISSN-L)
OpenAlex
W2113751407
Cited by
2,141
References
0
FWCI
6.82
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transactional memory: architectural support for lock-free data structures. https://app.cochat.ai/papers/10.1145/165123.165164
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Herlihy, M., & Moss, J. E. B. (1993). Transactional memory: architectural support for lock-free data structures. Proceedings of the 20th annual international symposium on Computer architecture - ISCA '93. https://doi.org/10.1145/165123.165164

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.