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Yazdani et al., 2019 - Google Patents

LSTM-sharp: An adaptable, energy-efficient hardware accelerator for long short-term memory

Yazdani et al., 2019

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Document ID
13607874219919733697
Author
Yazdani R
Ruwase O
Zhang M
He Y
Arnau J
González A
Publication year
Publication venue
arXiv preprint arXiv:1911.01258

External Links

Snippet

The effectiveness of LSTM neural networks for popular tasks such as Automatic Speech Recognition has fostered an increasing interest in LSTM inference acceleration. Due to the recurrent nature and data dependencies of LSTM computations, designing a customized …
Continue reading at www.academia.edu (PDF) (other versions)

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