Implémentation parallèle des FFTs sur des systèmes multicoeurs pour la couche physique du LTE 4G
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.
Bibliographic record
Abstract
Fast Fourier Transform (FFT) is a key element for wireless applications based on the OFDM (Orthogonal Frequency Division Multiplexing) and chaUenging for implementing on processor multicores/many-cores.As an ex ample, the Long Term Evolution (L TE) protocol establishes a requirement for processing, whereby many independent FFTs must be calculated within a Iimited time slot.By using Intel Math Kernel Library (MKL), in our approach to Xeon phi, we managed to reduce the maximum execution time of many independent FFTs.We proposed an implementation on processors multi-cores/many-cores using OpenMP (Open Multi-processing) reducing the mean time latency to ]24 l's on native mode after 1300 l's with the omoad.This is a challenge for shared memory projects.This paper describes how this level of performance can be obtained with multi-core Intel i7, Xeon processors and a many-core Xeon Phi.The best results were obtained with the Xeon Phi, which outperformed the Xeon Sandy-Bridge.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it