NIZCache: Energy-efficient Non-uniform Cache Architecture for Chip-multiprocessors Based on Invalid and Zero Lines
Bibliographic record
Abstract
The 3D design of SRAM LLCs has made the thermal problem, even more, sever and therefore incurs more leakage energy consumption compared to conventional SRAM cache architectures in 2Ds due to dense integration. In this paper, we propose a runtime cache architecture called NIZCache. The core idea of NIZCache is to use the non-uniform distribution of the accesses, invalid lines, and zero-value lines in banks of last level cache for decreasing both dynamic and leakage energy. The proposed architecture that is based on non-uniform cache architectures (NUCA) disables cache banks that have low accesses and high invalid and zero lines and leads to high energy-efficiency. The Experimental results show that the proposed method improves the energy-delay product by about 17% on average under PARSEC benchmarks compared to previous work.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".