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Record W2138159641 · doi:10.1109/icecs.2008.4675064

Hardware/software system co-verification of an active reconfigurable board with SystemC-VHDL

2008· article· en· W2138159641 on OpenAlexafffund
Yan Basile-Bellavance, Étienne Lepercq, Yves Blaquière, Yvon Savaria

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsUniversité du Québec à MontréalPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsSystemCComputer scienceEmbedded systemVHDLComputer architectureSystem on a chipSoftwareTransaction-level modelingField-programmable gate arrayComputer hardwareOperating system

Abstract

fetched live from OpenAlex

This paper reports on the challenges encountered, and the solutions adopted in the hardware and software co-verification of a wafer-scale integrated (WSI) system. The WaferBoardtrade is designed for rapid prototyping of complex digital systems. This advanced technology embeds a smart active substrate that can be configured through a set of JTAG ports to interconnect digital integrated chips placed on its surface. The software that generates JTAG bit streams and the related hardware infrastructure embedded in the WaferBoardtrade must be validated early and efficiently in the design process to improve productivity. The system co-verification methodology presented in this paper relies on a unified SystemC-VHDL environment making the design and verification tasks more effective. Results demonstrate that the simulation time complexity grows quadratically with the circuit size in number of gates if one JTAG port is used.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score0.773

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 communication0.0000.001
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 head0.025
GPT teacher head0.245
Teacher spread0.219 · 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 designBench or experimental
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
Published2008
Admission routes2
Has abstractyes

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