English(EN) X-OPM: Explainable Automatic Digital On-Chip Power Modeling for Enhanced Robustness

新的X-OPM系统提供可解释的片上功耗建模

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员开发了X-OPM，一种用于可解释自动片上数字功耗建模的新型系统。该框架使用以人为中心的（human-in-the-loop）工作流程，并将基于树的模型用于特征交互与线性模型用于预测相结合，旨在提高在未见过的工作负载上的泛化能力。在C906向量处理器上进行评估，X-OPM在面积开销极小的情况下达到了0.93以上的R^2分数，性能优于APOLLO、COBIT和标准MLP等现有方法。 AI

影响通过改进的功耗管理，增强了数字VLSI电路的鲁棒性和效率。

排序理由该集群包含一篇详细介绍片上功耗建模新技术的论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 13 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍片上功耗建模新技术的论文。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Jingbo Jiang, Xizi Chen, Jian Peng, Wei Zhang · 2026-10-07 04:00

X-OPM：增强鲁棒性的可解释自动数字片上功率建模

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…

本文如何被排名

报道来源 [1]

X-OPM：增强鲁棒性的可解释自动数字片上功率建模

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