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Record W2098255117 · doi:10.1109/etfa.2008.4638584

Hardware acceleration for verifiable, adaptive real-time communication

2008· article· en· W2098255117 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
TopicReal-Time Systems Scheduling
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceEthernetEmbedded systemReal-time communicationEthernet flow controlVerifiable secret sharingSynchronous EthernetNetwork processorNetwork interface controllerComputer hardwareComputer networkNetwork packet

Abstract

fetched live from OpenAlex

Distributed real-time applications implement distributed applications with timeliness requirements. Such systems require a deterministic communication medium with bounded communication delays. Ethernet is a widely used commodity network with a large number of appliances and network components and represents a natural fit for real-time application; unfortunately, standard Ethernet provides no bounded communication delays. Network Code Processor is a soft processor implementation for real-time communication on Ethernet. The system provides a smart network-card functionality and can be seen as a co-processor for time-triggered communication. Its most distinguishing feature, the programmability of the processor via the Network Code language, allows developers to write adaptive but verifiable communication schedules tailored to the application needs. In this work we present results around the development of the soft processor, discuss the specific challenges of how to build a reliable and fast communication system, the tradeoffs involved when moving from a generic software prototype to a programmable hardware implementation.

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 score0.958
Threshold uncertainty score0.487

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 head0.044
GPT teacher head0.258
Teacher spread0.214 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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