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Record W4243927247 · doi:10.1109/edac.1990.136631

Transistor placement and interconnect algorithms for leaf cell synthesis

2002· article· en· W4243927247 on OpenAlexaff
M. Lefebvre, C. Chan, G. Martin

Bibliographic record

VenueProceedings of the European Design Automation Conference, 1990., EDAC. · 2002
Typearticle
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsBell (Canada)Carleton University
Fundersnot available
KeywordsRouting (electronic design automation)ChainingTransistorComputer scienceAlgorithmInterconnectionPlacementSet (abstract data type)Metric (unit)Routing tableParallel computingPhysical designEngineeringEmbedded systemElectrical engineeringCircuit designComputer networkRouting protocolVoltage

Abstract

fetched live from OpenAlex

Picasso is a prototype leaf cell synthesis system capable of mapping a gate level description into a complete set of layout masks, based on the line of diffusion layout style. This paper describes Picasso's algorithms for transistor placement and routing of internal nets. The transistor placement algorithm uses a composite metric which applies connectivity and optimal chaining considerations simultaneously. The routing algorithm is capable of routing over transistor chains and makes efficient use of residual routing areas resulting from unequal transistor sizes.< <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.

How this classification was reachedexpand

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.039
GPT teacher head0.206
Teacher spread0.167 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations10
Published2002
Admission routes1
Has abstractyes

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