LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation
Summary
LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation is a scholarly article[1].
Key Facts
LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation. Retrieved May 24, 2026, from https://4ort.xyz/entity/lradnn-high-throughput-and-energy-efficient-deep-neural-network-accelerator-using-low-rank-approximation
MLA“LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lradnn-high-throughput-and-energy-efficient-deep-neural-network-accelerator-using-low-rank-approximation.
BibTeX@misc{4ortxyz_lradnn-high-throughput-and-energy-efficient-deep-neural-network-accelerator-using-low-rank-approximation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation}}, year = {2026}, url = {https://4ort.xyz/entity/lradnn-high-throughput-and-energy-efficient-deep-neural-network-accelerator-using-low-rank-approximation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation — https://4ort.xyz/entity/lradnn-high-throughput-and-energy-efficient-deep-neural-network-accelerator-using-low-rank-approximation (retrieved 2026-05-24)