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Record W4416884800 · doi:10.37665/srlytfn28917

Via-In-Pad Plated Over (VIPPO) Design Considerations for Enterprise Server and Storage Hardware

2016· article· W4416884800 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

VenueSoldering and Reliability Conferences · 2016
Typearticle
Language
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsVariety (cybernetics)Printed circuit boardFlash (photography)Component (thermodynamics)Integrated circuitComputer data storageClass (philosophy)Flash memoryReliability (semiconductor)

Abstract

fetched live from OpenAlex

ABSTRACT It has been estimated that ninety percent of the world’s data has been created in the last two years 1 . Explosive demand for sensor integration, automation, analytic insights, social networking, and the emerging Internet of Things, are all fueling the need for ever increasing computing horsepower. Enterprise Class Server and Storage computing systems are expected to manage these increasing data volumes securely – enabling processing, transmission, and storage of the data at lightning fast speeds; while at the same time operating at lowest possible energy consumption rates. To achieve this, multiple hardware advancements in power delivery/regulation, microprocessors, optics, flash memory, and graphics interfaces (among others) continue to be made. Increased functionality is occurring at multiple levels; within silicon dies (cores/stacked compute-memory), multi-functional integrated components, high I/O connectors/cables, and various printed circuit board (PCB) technologies. Component placement densities of electronic packages on PCBs continues to increase. Advanced component functionality is driving more I/O signal channels and more power/ground distribution layers. Power regulators and FETs are operating at higher power levels and must deal with increased heat duties; thermal management of these devices is critical for reliable operation. From a system perspective, product form factors (rack sizes) continue to be standardized and are not getting any larger. In order to accommodate these next generation requirements, Enterprise Class printed circuit board assemblies (PCBAs) are now being designed using a variety of advanced via structures – including via in pad plated over (VIPPO) technology. Integration of VIPPO vias helps provide a solution to a variety of challenges including: increased system functionality, increased component placement densities, signal routing/fan-out constraints, and thermal/power distribution management. This paper discusses a variety of elements concerning VIPPO technology including high quality PCB manufacturing construction, VIPPO usage applications, decision making pros and cons of the technology, key PCBA design parameters of interest, and new findings regarding VIPPO interconnect reliability performance and sensitivity to PCB attributes. The intent of the paper is to discuss key considerations, design elements, and assembly reliability performance observed to date when using VIPPO structures on Enterprise Class Server and Storage hardware.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.238
Teacher spread0.209 · 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