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Record W2065316976 · doi:10.1109/cjece.2014.2327091

Improvement of High-Current Density PCB Design With PSU Load Balance and Redundancy on a High End Server System

2014· article· en· W2065316976 on OpenAlexvenueno aff
Hsiao-Chung Chen, Ying‐Wen Bai

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsnot available
FundersInstitute for Information Industry, Ministry of Science and Technology, Taiwan
KeywordsHeat sinkElectrical engineeringPrinted circuit boardRedundancy (engineering)Power (physics)Computer scienceAutomotive engineeringEngineeringReliability engineering

Abstract

fetched live from OpenAlex

Power efficiency and utilization are important factors for a cloud service provider. In this paper, we provide one quick design method both for a high-current density power distribution printed circuit board (PCB) design and for an improvement of a high end server system. This design method also takes into consideration both load balance and failures of a multipower supply server system, when the server system is supported by a redundancy power source. Our design is based on a system power source to sink the current path for both PCB copper shape dimension and thickness design, and to add some power or ground via for stitching either each power or ground plane on a multilayer PCB design to reduce direct current resistance. It also considers the airflow necessary for cooling the power distribution board to lower the temperature rise when high current is delivered with a resulting lower power loss and higher power efficiency and performance per watt.

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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.596

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 head0.003
GPT teacher head0.140
Teacher spread0.137 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

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