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New X-OPM system offers explainable on-chip power modeling

Researchers have developed X-OPM, a novel system for explainable automatic digital on-chip power modeling. This framework uses a human-in-the-loop workflow and combines tree-based models for feature interaction with linear models for prediction, aiming to improve generalization across unseen workloads. Evaluated on a C906 vector processor, X-OPM achieved an R^2 score above 0.93 with minimal area overhead, outperforming existing methods like APOLLO, COBIT, and standard MLPs. AI

IMPACT Enhances robustness and efficiency in digital VLSI circuits through improved power management.

RANK_REASON The cluster contains a research paper detailing a new technical framework for on-chip power modeling. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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New X-OPM system offers explainable on-chip power modeling

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The cluster contains a research paper detailing a new technical framework for on-chip power modeling. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jingbo Jiang, Xizi Chen, Jian Peng, Wei Zhang ·

    X-OPM: Explainable Automatic Digital On-Chip Power Modeling for Enhanced Robustness

    arXiv:2610.08502v1 Announce Type: cross Abstract: Proactive power management systems reduce processor dynamic power through runtime power prediction and power-aware scheduling. Accurate, stable and low-overhead digital on-chip power meters (OPMs) are crucial for improving the pre…