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Record W1892255185 · doi:10.1109/isvlsi.2015.27

Index-Based Round-Robin Arbiter for NoC Routers

2015· article· en· W1892255185 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
TopicInterconnection Networks and Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArbiterRouterNetwork on a chipComputer scienceScalabilitySystem on a chipEmbedded systemChipArchitectureComputer networkOperating systemTelecommunications

Abstract

fetched live from OpenAlex

Scalable on-chip communication system such as Network-on-Chip (NoC) is needed to meet the communication demand of large number of SoC (System on Chip) cores. In the NoC router micro-architecture design, arbiter has become increasingly important due to its significant impact on the performance and efficiency of NoC systems. In this paper, we propose an Index-based Round Robin (IRR) arbiter that functions on the index format of input ports of the router. The micro architecture of IRR arbiter scales logarithmically (log2) with the number of input ports as compared to a conventional round robin arbiter that scales with its input ports. The behavior and architecture of our arbiter leads to lower power consumption and chip area as well as higher performance characteristics.

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: none
Teacher disagreement score0.971
Threshold uncertainty score0.311

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 head0.047
GPT teacher head0.265
Teacher spread0.218 · 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

Citations28
Published2015
Admission routes1
Has abstractyes

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