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Record W4399853700 · doi:10.1145/3663338.3665830

The Illusive Failure-Atomic Double-Width Compare-And-Swap

2024· article· en· W4399853700 on OpenAlexaff
Ahmed Fahmy, Adrian Jendo, Wojciech Golab

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed systems and fault tolerance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAtomicityComputer scienceByteSwap (finance)Parallel computingOperating systemProgramming languageDatabase transaction

Abstract

fetched live from OpenAlex

This paper explores the limitations of failure atomicity in Intel's Double-width Compare-and-Swap (DWCAS), an essential instruction for lock-free and wait-free algorithms in concurrent computing. DWCAS, known as cmpxchg16b on the Intel platform, can manipulate a pair of consecutive (and properly aligned) 8-byte words in a manner that makes updates to these memory locations visible atomically, at least in traditional systems with volatile main memories. At the same time, Intel's technical documents warn that only 8-byte stores are guaranteed to be power-fail atomic in systems equipped with non-volatile memories, meaning that such operations cannot be torn by a power failure. We review the implications of this limitation on the integrity of algorithms that assume DWCAS is both atomic in the traditional sense and also failure-atomic. Through this analysis, we aim to clarify misconceptions and advocate for robust software-based alternatives to ensure true power-fail atomicity in DWCAS operations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0030.009
Open science0.0040.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.244
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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