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Record W2150022482 · doi:10.1109/fccm.2012.25

ZUMA: An Open FPGA Overlay Architecture

2012· article· en· W2150022482 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsTRIUMF
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsField-programmable gate arrayComputer scienceNetlistOverlayArchitectureEmbedded systemComputer architectureSuiteBenchmark (surveying)CompilerBitstreamComputer hardwareOperating systemDecoding methodsTelecommunications

Abstract

fetched live from OpenAlex

This paper presents the ZUMA open FPGA overlay architecture. It is an open-source, cross-compatible embedded FPGA architecture that is intended to overlay on top of an existing FPGA, in essence an ”FPGA-on-an-FPGA.” This approach has a number of benefits, including bitstream compatibility between different vendors and parts, compatibility with open FPGA tool Hows, and the ability to embed some programmable logic into systems on FPGAs without the need for releasing or recompiling the master netlist. These options can enhance design possibilities and improve designer productivity. Previous attempts to map an FPGA architecture into a commercial FPGA have had an area penalty of 100x at best [4]. Through careful architectural and implementation choices to exploit low-level elements of the host architecture, ZUMA reduces this penalty to as low as 40x. Using the VTR (VPR6) academic tool How, we have been able to compile the entire MCNC benchmark suite to ZUMA. We invite authors of other tool Hows to target ZUMA.

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 score0.928
Threshold uncertainty score0.684

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)0.0010.000

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 head0.020
GPT teacher head0.257
Teacher spread0.238 · 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

Citations116
Published2012
Admission routes2
Has abstractyes

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