Shared Memory Pitfalls and Practical Best Practices (archived 2026-07-27)

Shared memory is fast IPC, but it does not synchronize itself. How to avoid the classic traps: atomics, ABI and layout, lifetime, permissions, and recovery. Archived version of https://comcomponent.com/en/blog/2026/03/18/000-shared-memory-pitfalls-best-practices/, as published on 2026-07-27. The live article is maintained and may change after this date. First published 2026-03-18.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21614535
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Shared Memory Pitfalls and Practical Best Practices (archived 2026-07-27)

Go Komura
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Shared Memory Pitfalls and Practical Best Practices (archived 2026-07-27)

Go Komura
article en

Abstract

Shared memory is fast IPC, but it does not synchronize itself. How to avoid the classic traps: atomics, ABI and layout, lifetime, permissions, and recovery. Archived version of https://comcomponent.com/en/blog/2026/03/18/000-shared-memory-pitfalls-best-practices/, as published on 2026-07-27. The live article is maintained and may change after this date. First published 2026-03-18.

Zenodo (CERN European Organization for Nuclear Research)
Fujikura (United States) (US)
Openalex Percentile: Top 20%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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