Biography and Research Information
OverviewAI-generated summary
Spencer Nelson's research focuses on the implementation of asynchronous recurrent neural networks (RNNs) for application-specific integrated circuits (ASICs). His work investigates methods for efficient and rapid configuration of these networks within ASIC designs. Nelson has published on the reconfigurable ASIC implementation of asynchronous RNNs and the rapid configuration of asynchronous RNNs for ASIC implementations. His scholarship metrics include an h-index of 2, with a total of 3 publications and 10 citations. Nelson collaborates with Jia Di and Wassim Khalil, both from the University of Arkansas at Fayetteville, with whom he has shared publications.
Metrics
- h-index: 2
- Publications: 3
- Citations: 10
Selected Publications
-
Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations (2021)
-
Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks (2021)
Collaboration Network
Top Collaborators
SangYun Kim
University of Arkansas at Fayetteville (US)
2 shared publications
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Jia Di
University of Arkansas at Fayetteville
2 shared publications
In database
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Zhe Zhou
Peking University (CN)
2 shared publications
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Zhihang Yuan
Peking University (CN)
2 shared publications
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Guangyu Sun
Peking University (CN)
2 shared publications
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Wassim Khalil
University of Arkansas at Fayetteville
1 shared publication
In database
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Similar Researchers
Based on overlapping research topics
Mitchell Clay
Arkansas State University
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Semiconductor materials and devices
John Venker
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Semiconductor materials and devices
Jeff Dix
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Semiconductor materials and devices
Wassim Khalil
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Daixin Chen
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Semiconductor materials and devices
Irina Horoi
University of Arkansas at Little Rock
Advancements in Semiconductor Devices and Circuit Design
Semiconductor materials and devices