An energy-delay product study on chip multi-processors for variable stage pipelining
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
Abstract Power management is a major concern for computer architects and system designers. As reported by the International Technology Roadmap for Semiconductors (ITRS), energy consumption has become one of the most dominant issues for the semiconductor industry when the size of transistors scales down from 22 to 11 nm nodes. In this regard, current existing techniques such as dynamic voltage scaling, clock gating, and the Complementary metal-oxide semiconductor technology have shown their physical limits; therefore, scaling will no longer be a valid strategy for achieving power-performance improvement. To overcome this critical issue in energy-efficient processor design, there is a clear demand for alternative solution. In this paper, an approach that provides a promising solution for energy reduction is proposed, by using a micro-architectural technique referred to as variable stage pipelining, which can be further validated and extended to different application domains such as mobile and desktop. An analytical model for evaluating the relationship between the number of cores and the pipeline stage depth in a chip multi-processor is also proposed, based on which the optimal pipeline depth for various metrics are calculated.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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