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Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier

Research article (2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2019) · cited 10× · AI/ML
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Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier

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Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier. Retrieved May 24, 2026, from https://4ort.xyz/entity/minimizing-power-for-neural-network-training-with-logarithm-approximate-floating-point-multiplier
MLA “Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/minimizing-power-for-neural-network-training-with-logarithm-approximate-floating-point-multiplier.
BibTeX @misc{4ortxyz_minimizing-power-for-neural-network-training-with-logarithm-approximate-floating-point-multiplier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier}}, year = {2026}, url = {https://4ort.xyz/entity/minimizing-power-for-neural-network-training-with-logarithm-approximate-floating-point-multiplier}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier — https://4ort.xyz/entity/minimizing-power-for-neural-network-training-with-logarithm-approximate-floating-point-multiplier (retrieved 2026-05-24)

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