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Record W2166675154 · doi:10.1109/mtdt.1994.397197

A fault-tolerant multiprocessor cache memory

2002· article· en· W2166675154 on OpenAlexaff
Xiao‐Jun Luo, J.C. Muzio

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer scienceMESI protocolCache pollutionCache invalidationCachePage cacheCache algorithmsCache coloringBus sniffingSmart CacheCache coherenceOperating systemParallel computingCPU cache

Abstract

fetched live from OpenAlex

In multiprocessor systems, cache memories serve two purposes, namely the reduction of the average access time to the shared memory and the minimization of interconnection network requirements for each processor. However, in a cache, interference between operations from the processor and operations for data coherence degrades the cache performance. We propose a cache with only one single dual-port directory which can be operated for both processor accesses and coherence operations simultaneously. The cache can reach high performance at low cost. This cache also has a coherence-protocol-independent structure. In order to improve the reliability of the cache, we design a tag self-purge mechanism, a comparator checker, and a totally self-checking checker for an (n-1)/n code in CMOS technology at low cost in the cache management unit. Moreover, the total hardware overhead is low, compared to the traditional single directory cache management unit.>

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.244
Teacher spread0.217 · 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
GenreMethods

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

Citations7
Published2002
Admission routes1
Has abstractyes

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