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Record W2118828191 · doi:10.1109/cicc.1991.164141

Optimization of field-programmable gate array logic block architecture for speed

2002· article· en· W2118828191 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
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultiplexerProgrammable Array LogicProgrammable logic arrayLogic blockField-programmable gate arrayComplex programmable logic deviceMacrocell arrayProgrammable logic deviceSimple programmable logic deviceRouting (electronic design automation)Computer scienceBlock (permutation group theory)Logic synthesisLogic gateGate arrayErasable programmable logic deviceLogic familyLogic optimizationSet (abstract data type)Computer hardwareAlgorithmEmbedded systemMultiplexingMathematicsTelecommunications

Abstract

fetched live from OpenAlex

The authors explore the effect of the choice of logic block on the speed of a field-programmable gate array (FPGA). A set of logic circuits was implemented as FPGAs, each using a different logic block, and the speed of the implementation was measured. While the result depends on the delay of programmable routing, experiments indicate that wide input PLA (programmable logic array)-style AND-OR gates, four- and five-input lookup tables, and certain multiplexer configurations produce the lowest total delay over the important values of routing delay. Furthermore, significant gains in performance (from 10% to 41% reduction in total delay) can be achieved by connecting a small number of logic blocks together using hard-wired connections.< <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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score0.561

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)0.0010.000

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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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

Citations40
Published2002
Admission routes1
Has abstractyes

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