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Record W2075843361 · doi:10.1109/mm.2014.3

Kabini: An AMD Accelerated Processing Unit System on A Chip

2014· article· en· W2075843361 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

VenueIEEE Micro · 2014
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsComputer scienceEmbedded systemx86Central processing unitMulti-core processorComputer hardwareChipEfficient energy useOperating systemSoftwareElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The AMD accelerated processing unit (APU) code-named "Kabini" integrates a quad-core CPU and a fully featured GPU. It is the first APU generation to incorporate a complete system-on-a-chip (SoC) IP to provide power efficiency and a small footprint. The device family includes the ultra-low-power optimized SoC codenamed "Temash," which is targeted for tablet and two-in-one detachable PC use. Kabini incorporates four high-performance x86 processor cores code-named "Jaguar"; an AMD Radeon HD 8000 Series DirectX11-capable GPU; next-generation media acceleration technology; a 64-bit memory channel; and integrated system I/O. Kabini improves on AMD's Turbo Core technology by actively managing collaborative CPU and GPU workloads and maximizing system responsiveness and performance per watt within the system cooling infrastructure.

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 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 score0.801
Threshold uncertainty score0.529

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 science0.0010.000
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 head0.038
GPT teacher head0.281
Teacher spread0.243 · 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