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Record W2124402195 · doi:10.1109/fccm.2013.40

Escaping the Academic Sandbox: Realizing VPR Circuits on Xilinx Devices

2013· article· en· W2124402195 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
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNetlistField-programmable gate arrayComputer scienceBitstreamRouting (electronic design automation)Sandbox (software development)VerilogEmbedded systemSuiteComputer architectureCADState (computer science)VirtexComputer hardwareOperating systemEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new, open-source method for FPGA CAD researchers to realize their techniques on real Xilinx devices. Specifically, we extend the Verilog-To-Routing (VTR) suite, which includes the VPR place-and-route CAD tool on which many FPGA innovations have been based, to generate working Xilinx bitstreams via the Xilinx Design Language (XDL). Currently, we can faithfully translate VPR's heterogeneous packing and placement results into an exact Xilinx `map' netlist, which is then routed by its `par' tool. We showcase the utility of this new method with two compelling applications targeting a 40nm Virtex-6 device: a fair comparison of the area, delay, and CAD runtime of academia's state-of-the-art VTR How with a commercial, closed-source equivalent, along with a CAD experiment evaluated using physical measurements of on-chip power consumption and die temperature, over time. This extended How - VTR-to-Bitstream - is released to the community with the hope that it can enhance existing research projects as well as unlock new ones.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score0.473

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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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

Citations41
Published2013
Admission routes1
Has abstractyes

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