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Record W2275935591 · doi:10.1109/fpt.2015.7393132

Automatic FPGA system and interconnect construction with multicast and customizable topology

2015· article· en· W2275935591 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
KeywordsComputer scienceInterconnectionMulticastField-programmable gate arrayEmbedded systemConstruct (python library)Network topologyComputer architectureAbstractionDistributed computingComputer network

Abstract

fetched live from OpenAlex

Modern FPGA system integration tools, such as Qsys and Vivado, seek to help designers easily instantiate and connect IP cores. These tools require the cores to ascribe to a specific interconnect abstraction, which is either a high-level memory-mapped or low-level point-to-point streaming protocol. We present a system-level construction tool that gives the designer more control over the nature of the interconnect - specifically permitting multicast communication and the ability to easily construct custom network topologies. Our tool requires less user input than Qsys and yields a 5% area savings and 35% reduction in simulated execution time for a large and complex linear algebra application. The primary goal of this work is to make the designer's job easier by automating the design of interconnect, including exploration of alternative structures and communication patterns.

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: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.301

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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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