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Record W2078478492 · doi:10.1109/fpl.2012.6339160

Runtime reconfigurable DSP unit using one's complement and Minimum Signed Digit

2012· article· en· W2078478492 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
TopicDigital Filter Design and Implementation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDigital signal processingMultiplier (economics)AdderComputer scienceControl reconfigurationField-programmable gate arrayBooth's multiplication algorithmArithmetic logic unitComputer hardwareCarry (investment)Digital signal processorParallel computingArithmeticEmbedded systemMathematicsLatency (audio)Telecommunications

Abstract

fetched live from OpenAlex

A runtime reconfigurable Digital Signal Processing (DSP) unit using one's complement data and a Minimum Signed Digit (MSD) multiplier is described. The MSD multiplier changes the partial product shift-and-add operations to shift-and-add/subtract operations and reduces the number of partial product terms by half, decreasing the size and increasing the speed of the multiplier. Using a carry-save architecture, the propagation delay of an adder to add the carry-out bits is eliminated. Taking advantage of the deterministic nature of the desired DSP algorithm, the runtime reconfiguration of the multiplier can be pipelined to eliminate an added set-up state. The described DSP unit compared to a DSP unit using a conventional multiplier is shown to be 20% faster and 30% smaller for a 32-bit coefficient and using Xilinx Field Programmable Gate Arrays (FPGAs) with 6-input Look-Up Tables (LUTs).

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 score0.687
Threshold uncertainty score0.459

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 communication0.0000.002
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 head0.119
GPT teacher head0.303
Teacher spread0.184 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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