FPGA Hardware Implementation of Efficient Long Short-Term Memory Network Based on Construction Vector Method

• Published in: IEEE access Vol. 11; pp. 122357 - 122367
• Main Authors: Li, Tengfei, Gu, Shenshen
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Cognitive tasks; Compression ratio; Computational modeling; construct vector method; Design; Field programmable gate arrays; Field-programmable gate array (FPGA); Hardware; High level synthesis; Linear transformations; Logic gates; Long short term memory; long short-term memory (LSTM); Machine translation; Mathematical models; Matrix methods; model compression; Pipelining (computers); Sparse matrices; Speech recognition; Training

Long Short-Term Memory (LSTM) and its variants have been widely adopted in many sequential learning tasks, such as speech recognition and machine translation. The low-latency and energy-efficiency requirements of the real-world applications make model compression and hardware acceleration for LSTM a...