NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper

Research article (2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021) · cited 14× · AI/ML
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NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper

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NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. Retrieved May 24, 2026, from https://4ort.xyz/entity/neurometer-an-integrated-power-area-and-timing-modeling-framework-for-machine-learning-accelerators-industry-track-paper
MLA “NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neurometer-an-integrated-power-area-and-timing-modeling-framework-for-machine-learning-accelerators-industry-track-paper.
BibTeX @misc{4ortxyz_neurometer-an-integrated-power-area-and-timing-modeling-framework-for-machine-learning-accelerators-industry-track-paper_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper}}, year = {2026}, url = {https://4ort.xyz/entity/neurometer-an-integrated-power-area-and-timing-modeling-framework-for-machine-learning-accelerators-industry-track-paper}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper — https://4ort.xyz/entity/neurometer-an-integrated-power-area-and-timing-modeling-framework-for-machine-learning-accelerators-industry-track-paper (retrieved 2026-05-24)

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