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Cited by 270

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Accelerating critical section execution with asymmetric multi-core architectures

Suleman, M. Aater, Mutlu, Onur, Qureshi, Moinuddin K., Patt, Yale N.·2009·Proceedings of the 14th international conference on Architectural support for programming languages and operating systems

Abstract

To improve the performance of a single application on Chip Multiprocessors (CMPs), the application must be split into threads which execute concurrently on multiple cores. In multi-threaded applications, critical sections are used to ensure that only one thread accesses shared data at any given time. Critical sections can serialize the execution of threads, which significantly reduces performance and scalability.

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Metadata

Authors
Suleman, M. A., Mutlu, O., Qureshi, M. K., & Patt, Y. N.
Venue
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Publisher
ACM
Published
2009-03-07
Pages
253-264
OpenAlex
W2105876415
Cited by
270
References
2
FWCI
17.97
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Accelerating critical section execution with asymmetric multi-core architectures. https://app.cochat.ai/papers/10.1145/1508244.1508274
The paper
Suleman, M. A., Mutlu, O., Qureshi, M. K., & Patt, Y. N. (2009). Accelerating critical section execution with asymmetric multi-core architectures. Proceedings of the 14th international conference on Architectural support for programming languages and operating systems. https://doi.org/10.1145/1508244.1508274

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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.