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Record W4234719031 · doi:10.1109/iccad.1990.129896

A global optimization approach for architectural synthesis

2002· article· en· W4234719031 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
TopicEmbedded Systems Design Techniques
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolytopeComputer scienceMathematical optimizationInteger programmingScheduling (production processes)Simplex algorithmHeuristicSimplexJob shop schedulingLinear programmingFunction (biology)Node (physics)Theoretical computer scienceAlgorithmMathematicsDiscrete mathematicsCombinatorics

Abstract

fetched live from OpenAlex

A relaxed LP model, which simultaneously schedules and allocates functional units and registers, is presented for synthesizing cost-constrained globally optimal architectures. A mathematical integer programming formulation of the architectural synthesis problem was transformed into the node packing problem. Some integral facets of this polytope were extracted and generalized to produce integral solutions using the simplex algorithm without the need to branch and bound. Execution times are faster by an order of magnitude than previous research which makes use of heuristic techniques. This research breaks ground by simultaneously scheduling and allocating with practical execution times; guaranteeing globally optimal solutions for a specific objective function; and providing a polynomial runtime algorithm for solving this NP-complete problem.< <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: Methods
Teacher disagreement score0.819
Threshold uncertainty score0.331

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 science0.0010.000
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 head0.032
GPT teacher head0.243
Teacher spread0.211 · 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

Citations22
Published2002
Admission routes1
Has abstractyes

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