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Record W1727049600 · doi:10.1002/9780470050118.ecse312

<scp>VLSI</scp>Circuit Layout

2008· other· en· W1727049600 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

VenueWiley Encyclopedia of Computer Science and Engineering · 2008
Typeother
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsVery-large-scale integrationFloorplanPhysical designRouting (electronic design automation)Computer scienceComputer architectureProcess (computing)Electronic engineeringCircuit designComputer engineeringEngineeringEmbedded system

Abstract

fetched live from OpenAlex

Abstract VLSI circuits have experienced significant growth in the past half a century. As an important design phase, VLSI physical design is an extremely tedious and error‐prone process. In this article, the fundamental characteristics of physical design are described. Then the general physical design methodology mainly for VLSI digital systems is discussed. In particular, three major physical design subproblems, including partitioning, floorplan and placement, and routing, are explained in more detail. The formulation of each subproblem and the related algorithms are presented. The state‐of‐the‐art teachniques are summarized. To exhibit a more general overview, the features of physical design for analog integrated circuits are also outlined. The article concludes with some emerging topics regarding the modern VLSI layout.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.181
Teacher spread0.174 · 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