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Record W2099806728 · doi:10.5555/1161734.1161778

Modeling and simulation of hardware/software systems with CD++

2004· article· en· W2099806728 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

VenueWinter Simulation Conference · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsDEVSReuseComputer scienceModular designComponent (thermodynamics)AbstractionHardware-in-the-loop simulationSoftwareComponent-based software engineeringEmbedded systemSoftware developmentSoftware engineeringComputer architectureProgramming languageModeling and simulationSimulation

Abstract

fetched live from OpenAlex

Modeling and simulation (M&S) methodologies can be useful in the development of hardware-in-the-loop applications. CD++ is a toolkit with support for real-time model execution that implements DEVS, a sound, formal M&S framework allowing hierarchical, modular model composition and component reuse. We present a methodology that uses CD++ to develop hybrid hardware/software systems. The technique enables incremental transition from the simulated models to the actual hardware counterparts, supports experimental frameworks to facilitate testing in a risk-free environment, encourages component reuse, and allows developing models with different levels of abstraction. CD++ can reduce cost and time-to-market of hardware-in-the-loop applications, and preserves the benefits of a formal M&S methodology like DEVS.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.480

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 head0.137
GPT teacher head0.388
Teacher spread0.252 · 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