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Record W2538289493 · doi:10.1115/ipack2011-52139

Single-Phase Liquid Cooling of a Quad-Core Processor

2011· article· en· W2538289493 on OpenAlexaff
Anjali Chauhan, Bahgat Sammakia, Furat Afram, Kanad Ghose, Gamal Refai-Ahmed, Dereje Agonafer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsMicrochannelPlanarMulti-core processorDissipationCore (optical fiber)Computer coolingComputer scienceThermal management of electronic devices and systemsMicroprocessorHot spot (computer programming)Flow (mathematics)Mechanical engineeringMaterials scienceMechanicsParallel computingComputer hardwarePhysicsEngineeringTelecommunicationsThermodynamics

Abstract

fetched live from OpenAlex

Multicore microprocessor chips have emerged as an industry standard in recent years and have enabled Moore’s Law to be sustained when one considers the collective performance achieved by multiple cores. The industry has favored floor plans that use identical or symmetric layouts of individual cores in a linear array or a two-dimensional (2D) array, oblivious to the non-uniform heat dissipation within each core. Such non-uniform heat dissipations have hot spots within each core that must be aggressively cooled to avoid temporary or permanent device failures that can result from high temperature gradients. This paper evaluates alternative core layouts and microchannel configurations of a single-phase liquid cooling system for multi-core chips. We first examine the use of different planar flow patterns in microchannels for a realistic quad-core processor with non-uniform energy dissipation within each core. The direction of the flows in the microchannels is varied to achieve minimum hot spot temperatures on the die. A symmetric layout of the four cores with minimum achievable hot spot temperature is then selected and subjected to impingement flow. We establish the thermal efficiency of the optimized core floor plan compared to the traditional floor plan in a quad-core design and show that impingement provides the most efficient cooling solution compared to microchannels with planar flows for the same pressure difference.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.286

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 head0.052
GPT teacher head0.250
Teacher spread0.198 · 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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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