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Record W4250683494 · doi:10.1109/isca.1988.5233

Scrambled storage for parallel memory systems

2003· article· en· W4250683494 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsYork University
Fundersnot available
KeywordsScramblingScheme (mathematics)Computer scienceInterconnectionRowParallel computingElectronic circuitWord (group theory)Computer data storageComputer hardwareArithmeticComputer networkAlgorithmMathematicsEngineeringElectrical engineeringProgramming language

Abstract

fetched live from OpenAlex

A scrambled storage scheme is proposed for storage arrays of N*N elements in N=2/sup n/ parallel memory-modules to allow conflict-free access to various array partitions. It is shown that the scheme allows conflict-free access to rows, columns, square blocks, and distributed blocks of stored arrays. An alternative way of achieving the desired accessibility would use P. Budnik and D.J. Kuck's (1971) nonuniform skewed storage; in this case, addressing hardware would require O(n*2/sup n/) exclusive-OR circuits. The proposed scheme has, however, the advantage of simplifying address generation; addressing hardware requires n exclusive-OR circuits only. Some of the important questions of scrambling/unscrambling data through a proposed interconnection network are discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.828
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.261
Teacher spread0.235 · 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

Quick stats

Citations30
Published2003
Admission routes1
Has abstractyes

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