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Design alternatives of Network- on-Chip (NoC) Router microarchitecture for future Communication System

2022· article· en· W4223912195 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

Venue2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) · 2022
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsRouterMicroarchitectureNetwork on a chipComputer scienceEmbedded systemComputer architectureLatency (audio)Field-programmable gate arrayArchitectureCritical path methodThroughputChipComputer networkEngineeringTelecommunications

Abstract

fetched live from OpenAlex

The architectures of Network-on-Chip (NoC) are effective fabric for application specific systems-on-chips (SoCs) and general purpose chip multi-processors (CMPs). The important parameters in the design of network on-chip are low latency, high throughput and less area. In order to achieve these goals, NoC router microarchitecture plays an important role. The main drawbacks of Conventional NoC router microarchitecture are circuit complexity, throughput, critical path delay, resource utilization, timing, and power efficiency. The increasing dependence on intellectual properties exposes SoCs to many safetyliabilities and is hovering many concerns. This paper provides an overview of diverse NoC router architecture. The research presented in this paper has investigated different parameters of NoC architecture that are applicable to a wide range of FPGA families.

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)0.001
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: none
Teacher disagreement score0.926
Threshold uncertainty score0.969

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.023
GPT teacher head0.280
Teacher spread0.256 · 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