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
State-of-the-art multiprocessor cache hierarchies propagate the use of a fixed granularity in the cache organization to the design of the coherence protocol. Unfortunately, the fixed granularity, generally chosen to match average spatial locality across a range of applications, not only results in wasted bandwidth to serve an individual thread's access needs, but also results in unnecessary coherence traffic for shared data. The additional bandwidth has a direct impact on both the scalability of parallel applications and overall energy consumption. In this paper, we present the design of Protozoa, a family of coherence protocols that eliminate unnecessary coherence traffic and match data movement to an application's spatial locality. Protozoa continues to maintain metadata at a conventional fixed cache line granularity while 1) supporting variable read and write caching granularity so that data transfer matches application spatial granularity, 2) invalidating at the granularity of the write miss request so that readers to disjoint data can co-exist with writers, and 3) potentially supporting multiple non-overlapping writers within the cache line, thereby avoiding the traditional ping-pong effect of both read-write and write-write false sharing. Our evaluation demonstrates that Protozoa consistently reduce miss rate and improve the fraction of transmitted data that is actually utilized.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.002 |
| 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