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Record W1974751828 · doi:10.1145/2684746.2689074

Take the Highway

2015· article· en· W1974751828 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 institutionsUniversity of Toronto
Fundersnot available
KeywordsField-programmable gate arrayEmbedded systemComputer scienceLatency (audio)Network on a chipEthernetLeverage (statistics)InterconnectionNetwork interfaceComputer architectureComputer hardwareComputer networkTelecommunications

Abstract

fetched live from OpenAlex

We explore the addition of a fast embedded network-on-chip (NoC) to augment the FPGA's existing wires and switches, and help interconnect large applications. A flexible interface between the FPGA fabric and the embedded NoC allows modules of varying widths and frequencies to transport data over the NoC. We study both latency-insensitive and latency-sensitive design styles and present the constraints for implementing each type of communication on the embedded NoC. Our application case study with image compression shows that an embedded NoC improves frequency by 10-80%, reduces utilization of scarce long wires by 40% and makes design easier and more predictable. Additionally, we leverage the embedded NoC in creating a programmable Ethernet switch that can support up to 819 Gb/s on FPGAs.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.421

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 head0.238
Teacher spread0.191 · 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

Citations36
Published2015
Admission routes1
Has abstractyes

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