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Record W2112003649 · doi:10.1145/370155.370571

Combinatorial routing analysis and design of universal switch blocks

2001· article· en· W2112003649 on OpenAlexaff
Hongbing Fan, Jiping Liu, Yu‐Liang Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsUniversity of LethbridgeUniversity of Victoria
Fundersnot available
KeywordsRouting (electronic design automation)Block (permutation group theory)Computer scienceSet (abstract data type)USBDecompositionDimension (graph theory)Constraint (computer-aided design)Parallel computingMathematicsTopology (electrical circuits)Discrete mathematicsCombinatoricsEmbedded systemOperating systemProgramming languageSoftware

Abstract

fetched live from OpenAlex

A switch block with k sides and W terminals per side ((k; W)-SB) is said to be universal if every set of 2-pin nets satisfying the dimension constraint is simultaneously routable through the switch block. It has been shown that the universal switch blocks (USB) outperform the XC4000-typed switch blocks in routability. In this paper, we present a new combinatorial model and routing requirement decomposition theory for analyzing and designing generalized USB models. As a result, we obtain optimum (k,W)-USBs for k≤6 with all W's, k = 7,8 with even W's; and nearly optimum (k,W)-UBSs for k = 7; 8 with odd W's, which is a revised result on the previously published.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.276

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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 designSimulation or modeling
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

Citations4
Published2001
Admission routes1
Has abstractyes

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