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Record W1796843485 · doi:10.1109/ccece.1995.526282

VHDL-based methodology for modelling computer communication systems

2002· article· en· W1796843485 on OpenAlexaff
David R. Smith, Susan Morris

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsVHDLComputer scienceApplication-specific integrated circuitAbstractionComputer architectureHardware description languageProcess (computing)Systems designCircuit designSoftware engineeringEmbedded systemIntegrated circuit designRegister-transfer levelAbstraction layerProgramming languageLogic synthesisField-programmable gate arraySoftwareLogic gateAlgorithm

Abstract

fetched live from OpenAlex

Currently the design and development process employs different modelling and design techniques at each level of system abstraction. This makes the process inefficient and costly. VHDL, however, has the potential to unify this process. VHDL's widespread use in the design, development and synthesis of ASICs is an indication of its success. It has already lead to revolutionary changes in the way traditional systems design is performed. Today new ASIC design starts with a VHDL description of the circuit and then the ASIC is synthesized from this description. The next step in VHDL's evolutionary use is in the modelling of systems at higher levels of abstraction. The specification and design of an entire large scale system is possible. This paper presents a VHDL-based methodology for modelling computer communication systems, called VCCS, to demonstrate VHDL's ability to design and model systems at a high level of abstraction. The methodology, design strategy and primary characteristics of the VHDL implementation are explained.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.873
Threshold uncertainty score0.507

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 science0.0010.000
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 head0.291
GPT teacher head0.326
Teacher spread0.035 · 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
GenreMethods

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

Citations0
Published2002
Admission routes1
Has abstractyes

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