Shared Memory Pitfalls and Practical Best Practices (archived 2026-09-01)

The pitfalls of using shared memory in production, and a design that leaves fewer ways to go wrong across synchronization, visibility, lifetime, ABI, and permissions. Archived version of https://comcomponent.com/en/blog/2026/03/18/000-shared-memory-pitfalls-best-practices/, as published on 2026-09-01. 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
2026-09-01
DOI
https://doi.org/10.5281/zenodo.21614534
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 2026-09-01)

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

Shared Memory Pitfalls and Practical Best Practices (archived 2026-09-01)

Go Komura
article en

Abstract

The pitfalls of using shared memory in production, and a design that leaves fewer ways to go wrong across synchronization, visibility, lifetime, ABI, and permissions. Archived version of https://comcomponent.com/en/blog/2026/03/18/000-shared-memory-pitfalls-best-practices/, as published on 2026-09-01. 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 38%
Machine Learning in Materials Science
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