Exploiting non-uniformity of write accesses for designing a high-endurance hybrid Last Level Cache in 3D CMPs
Why this work is in the frame
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Bibliographic record
Abstract
In chip-multiprocessors with increasing the number of cores, power consumption becomes the main concern in Last Level Cache (LLC). Emerging technologies, such as three-dimensional integrated circuits (3D ICs) and non-volatile memories (NVMs) are among the newest solutions to the design of dark-silicon-aware multi/many-core systems. Although NVMs have many advantages like low leakage and high density, they suffer from shortcomings such as the limited number of write operations and long write operation latency and high energy. In this paper, we use the non-uniform distribution of the accesses and the writes in banks of LLC to improve the lifetime of NVM in LLC and decrease energy consumption. We propose a new hybrid cache design that consists of SRAM banks and STT-RAM banks. Experimental results show that the proposed method improves the energy-delay product by about 43% on average under PARSEC workloads execution. Moreover, this technique improves performance by about 7% on average compared to the conventional methods with STT-RAM cache technology under PARSEC workloads execution.
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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 | 0.001 | 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 | 0.001 |
| 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