An FPGA-Based LSTM Acceleration Engine for Deep Learning Frameworks

An FPGA-Based LSTM Acceleration Engine for Deep Learning Frameworks

Over the past two decades, Long Short-Term Memory (LSTM) networks have been used to solve problems that require modeling of long sequence because they can selectively remember certain patterns over a long period, thus outperforming traditional feed-forward neural networks and Recurrent Neural Networ...

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Bibliographic Details
Main Authors: Dazhong He, Junhua He, Jun Liu, Jie Yang, Qing Yan, Yang Yang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
LSTM
FPGA
hardware acceleration
matrix multiplication
systolic array
fixed-point arithmetic
Online Access:https://www.mdpi.com/2079-9292/10/6/681

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https://www.mdpi.com/2079-9292/10/6/681

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