Power, Performance and Area Consequences of Multi-Context Support in CGRAs
Why this work is in the frame
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Bibliographic record
Abstract
A feature associated with coarse-grained reconfigurable arrays (CGRAs) is dynamic reconfigurability, wherein the CGRA supports multiple contexts. The multiple contexts form a set of configuration bitstreams that are loaded into the CGRA simultaneously and cycled through according to a schedule. Multi-context allows the CGRA hardware to be time-multiplexed: the logic blocks and interconnect can perform different functions according to the context selected in a given clock cycle. We consider how multi-context may be implemented at the circuit level, and evaluate three circuit implementations from the power, performance and area (PPA) perspectives. Results show that the choice of multi-context circuit implementation has an appreciable impact on the overall CGRA PPA. We also quantify the PPA overhead of the multi-context feature in CGRAs vs. a single-context device.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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