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A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip

Research article (IEEE Solid-State Circuits Letters, 2019) · cited 12× · AI/ML
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A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip

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A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip is a scholarly article[1].

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  • A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-8-93-tops-w-lstm-recurrent-neural-network-accelerator-featuring-hierarchical-coarse-grain-sparsity-with-all-parameters
MLA “A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-8-93-tops-w-lstm-recurrent-neural-network-accelerator-featuring-hierarchical-coarse-grain-sparsity-with-all-parameters.
BibTeX @misc{4ortxyz_a-8-93-tops-w-lstm-recurrent-neural-network-accelerator-featuring-hierarchical-coarse-grain-sparsity-with-all-parameters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip}}, year = {2026}, url = {https://4ort.xyz/entity/a-8-93-tops-w-lstm-recurrent-neural-network-accelerator-featuring-hierarchical-coarse-grain-sparsity-with-all-parameters}, note = {Accessed: 2026-05-24}}
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