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Research Article

Parallel CRC optimisations on the x64 architecture: a per-partes method

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Pages 292-316 | Received 11 May 2023, Accepted 14 Oct 2023, Published online: 12 Dec 2023
 

Abstract

Each generation of CPU provides more resources and new features. These increase the ability to perform algorithms faster and with a higher degree of parallelism. The article discusses methods used to optimise CRC generation algorithms for long data blocks with consideration of the capabilities of contemporary systems. We analysed known software CRC algorithms and combined all known principles into a solution scalable in multiple CPU cores on single and multi-socket systems. Various algorithms were evaluated on contemporary multicore systems with 1 × 4, 1 × 64, 2 × 12, and 4 × 26 cores. The results show how the performance is affected by the architecture of the memory subsystem. Compared to the original sequential Sarwate algorithm, our algorithms are 48.0, 51.1, 38.0, and 28.8 times faster.

GRAPHICAL ABSTRACT

Acknowledgements

The authors thank the local subsidiary of Hewlett Packard Enterprise for allowing us to run our tests on their demo system HP ProLiant DL560 G10.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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