An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing

Elham Azari, Sarma Vrudhula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Fingerprint

Dive into the research topics of 'An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing'. Together they form a unique fingerprint.

Business & Economics

Engineering & Materials Science