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Record W3200535481 · doi:10.15866/ireit.v5i4.14605

Optimized FPGA Mapping of a Bit-serial Square Root Operator with Minimum Output Delay

2017· article· en· W3200535481 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

VenueInternational Journal on Information Technology (IREIT) · 2017
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsSquare rootField-programmable gate arrayComputer scienceBit (key)ArithmeticOperator (biology)Bitwise operationComputer hardwareSquare (algebra)AlgorithmMathematics

Abstract

fetched live from OpenAlex

We propose an FPGA implementation of a bit-serial square root operator based on an nonrestoring algorithm which optimally maps to the underlying hardware, and has minimal output delay. The most significant bit (MSB) of the square root is obtained right with the next clock cycle after input of the first bit of the radicand. Synthesis results for different radicand widths in the range of 8 to 64 bits targeting two different Xilinx families of FPGAs have shown this design to consume a number of 4-input LUTs at most twice the given width, and maximum clocking frequencies in excess of 100 MHz are possible in all cases. The proposed operator has been designed for use in advanced  control loops, and has been found suitable for the intended purpose.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0020.000
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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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