Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
N
Nathaniel Fredricks
Student
Also affiliated: University of Arkansas System (2024)
1 h-index
5 pubs
6 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Nathaniel Fredricks is a student researcher at the University of Arkansas at Fayetteville. His work focuses on the development of hardware accelerators for computing tasks, particularly those involving in-memory computing and deep learning applications. Fredricks has co-authored publications on systems such as IMAGine, an in-memory accelerated GEMV engine overlay, and DA-VinCi, a deep-learning accelerator overlay utilizing in-memory computing. His research also explores the limitations and potential of Block RAM (BRAM) in building scalable processing-in-memory (PIM) accelerators, and investigates edge computing applications for FPGAs. Fredricks collaborates with David Andrews, Tendayi Kamucheka, Miaoqing Huang, and MD Arafat Kabir.
Metrics
- h-index: 1
- Publications: 5
- Citations: 6
Positions
-
Student 2023–presentUniversity of Arkansas at Fayetteville Electrical Engineering and Computer Science ORCID
Selected Publications
-
Faster than the Speed of BRAM: In-Memory Computing for Next Generation FPGAs on the Edge (2026)Journal of the Arkansas Academy of Science OpenAlex
-
DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing (2025)
-
IMAGine: An In-Memory Accelerated GEMV Engine Overlay (2024)
-
The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators (2024)
Collaboration Network
Top Collaborators
Tendayi Kamucheka
University of Arkansas at Fayetteville
3 shared publications
In database
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Jason D. Bakos
University of South Carolina (US)
3 shared publications
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Miaoqing Huang
University of Arkansas at Fayetteville
3 shared publications
In database
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
David Andrews
University of Arkansas at Fayetteville
3 shared publications
In database
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
MD Arafat Kabir
University of Arkansas at Fayetteville
2 shared publications
In database
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
Joel Mandebi
Advanced Micro Devices (Canada) (CA)
2 shared publications
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
MD Arafat Kabir
University of Arkansas at Fayetteville
1 shared publication
In database
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Joel Mandebi Mbongue
Advanced Micro Devices (United States) (US)
1 shared publication
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Similar Researchers
Based on overlapping research topics
Thomas Winkle
University of Arkansas at Fayetteville
Advancements in Semiconductor Devices and Circuit Design
Machine Learning Applications
Robotics and Sensor-Based Localization
Yunxiang Zhang
University of Arkansas at Little Rock
Advancements in Semiconductor Devices and Circuit Design
Machine Learning Applications
Computer Simulation
Arun John Varghese
Arkansas Agricultural Experiment Station
Machine Learning Applications
Computer Simulation
Robotics and Sensor-Based Localization
Franck Yonga
University of Arkansas at Fayetteville
Advancements in Semiconductor Devices and Circuit Design
Machine Learning Applications
Robotics and Sensor-Based Localization
Michael Mefenza
University of Arkansas at Fayetteville
Advancements in Semiconductor Devices and Circuit Design
Machine Learning Applications
Robotics and Sensor-Based Localization
Yushi Yang
University of Arkansas at Fayetteville
Advancements in Semiconductor Devices and Circuit Design
Machine Learning Applications
Robotics and Sensor-Based Localization