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Record W7046415706

Development of an experimental apparatus for the testing of novel cooling systems for processors

2018· dissertation· en· W7046415706 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2018
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMitacsMcGill University
KeywordsCoolantWater coolingController (irrigation)Air coolingPersonal computerSoftwareTemperature controlActive cooling
DOInot available

Abstract

fetched live from OpenAlex

A computer system’s performance is largely dependent on its ability to effectively remove the substantial heat generated by its processor, which is concentrated in a relatively small area of the system. While air cooling techniques remain sufficient for most personal computer needs, liquid cooling technologies, such as microchannels, have become commonplace in the most advanced computer systems. With the goal of further improving the performance of advanced processors, an experimental apparatus has been designed and built to investigate new cooling methods. The present work covers the design, construction and testing of this processor cooling experimental apparatus, as well as an initial prototype cooling device. The apparatus contains a fluid loop that can handle high-pressure coolant flow, and is suitable for both single-phase and two-phase cooling devices. Furthermore, the fluid loop is equipped with a positive displacement pump that provides very accurate flow rates, and multiple temperature and pressure sensors. A dedicated computer controller and custom software application operate the data acquisition and control systems that have been incorporated into the experimental apparatus. Moreover, the apparatus has been designed to conduct two different types of experiments. Initial tests use a heated surface that simulates the characteristics of a real processor, and is capable of providing data from power and temperature sensors that cannot be incorporated into a processor. The second set of tests use a real processor inside an advanced computer system, and they determine the processor performance using the new cooling system. Given the overall aim of improving processor cooling, multiple novel processor cooling device designs were conceived, and the most promising design was prototyped. The design uses a spray cooling method that directly targets the processor surface, thus eliminating thermal resistances that are inherent to most processor cooling devices. This thesis culminates with a presentation of the results of both types of tests using the protoype in the experimental apparatus.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.312
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

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