LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory

4 Nov 2019Reza YazdaniOlatunji RuwaseMinjia ZhangYuxiong HeJose-Maria ArnauAntonio Gonzalez

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 architecture specifically tailored to its computation pattern is crucial for efficiency... (read more)

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