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Record W2118995101 · doi:10.1109/ccece.1999.807245

High-speed image composition with enhanced multiplier structures

2003· article· en· W2118995101 on OpenAlex
Bo Liu, Martin Margala, N.G. Durdle, Scott Juskiw

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
TopicParallel Computing and Optimization Techniques
Canadian institutionsTellabs (Canada)University of Alberta
Fundersnot available
KeywordsAdderComputer scienceMultiplier (economics)Carry-save adderSubtractionMatrix multiplicationArithmeticCarry (investment)Computer hardwareParallel computingMathematicsLatency (audio)Telecommunications

Abstract

fetched live from OpenAlex

Describes an efficient implementation of a fused multiplier-adder-subtracter circuit for image composition. An enhanced multiplier structure achieves high-speed composition with virtually no additional hardware or latency over that of a conventional multiplication cell. Expansion of the multiplier partial product matrix permits the parallel addition of multiple terms without the intrinsic delay incurred with a carry propagation. A modified encoding paradigm allows "on-the-fly" term negation to realize subtraction. An optimal design strategy for carry-save adder arrays performs carry-propagation addition in parallel with reduction of the partial product matrix. The proposed fused-cell architecture is general enough to support a variety of custom functions and exceeds the performance requirements of a full-frame real-time image generation system.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.834
Threshold uncertainty score0.355

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 head0.007
GPT teacher head0.231
Teacher spread0.225 · 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