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Record W1585696627 · doi:10.1109/parbse.1990.77209

Reconfigurable systolic architectures for hashing

2002· article· en· W1585696627 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
TopicNetwork Packet Processing and Optimization
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSuccessor cardinalComputer scienceTable (database)Hash functionHash tableHost (biology)Very-large-scale integrationParallel computingTheoretical computer scienceProgramming languageDatabaseEmbedded systemMathematics

Abstract

fetched live from OpenAlex

The authors develop a novel technique in which concepts of both bucketing and open addressing schemes are modified in such a manner that they can be suitable for VLSI/WSI implementation, namely, dynamically reconfigurable hash tables. In this method, finite storage is allocated for each bucket. Instead of searching the entire table or a part of the table for an empty storage place, the overflowing synonyms are inserted into the successor's bucket (next to the home bucket). If the successor's bucket overflows, the same technique is repeated until the table is stable. The host bucket takes care of all the relative operations for its guest items. As soon as an empty place arises in the original bucket, the host bucket returns the guest element to the original bucket: in essence, dynamically variable capacity buckets have been created. These buckets are designed using systolic arrays.< <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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.204

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 communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.229
Teacher spread0.201 · 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