T
Tendayi Kamucheka Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
3 h-index
10 pubs
41 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Tendayi Kamucheka's research focuses on the design and implementation of hardware accelerators for deep learning and post-quantum cryptography (PQC) algorithms. His work explores in-memory computing architectures, such as the IMAGine and DA-VinCi overlays, which aim to enhance computational efficiency by performing operations directly within memory units. Kamucheka also investigates security aspects of PQC, including power-based side-channel attack analysis and hardware implementations of algorithms like Kyber. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Miaoqing Huang and David Andrews, contributing to a shared publication record. Kamucheka's recent publications include work on compiler-driven approaches for hardware-software co-design of deep-learning accelerators and benchmarks for field simulations of microstrip patch antennas.
Metrics
- h-index: 3
- Publications: 10
- Citations: 41
Selected Publications
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DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing (2025)
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IMAGine: An In-Memory Accelerated GEMV Engine Overlay (2024)
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The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators (2024)
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Ph.D. Project: A Compiler-Driven Approach to HW/SW Co-Design of Deep-Learning Accelerators (2024)
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A Masked Pure-Hardware Implementation of Kyber Cryptographic Algorithm (2022)
Collaboration Network
Top Collaborators
Miaoqing Huang
University of Arkansas at Fayetteville
7 shared publications
In database
- A Masked Pure-Hardware Implementation of Kyber Cryptographic Algorithm
- Power-based Side Channel Attack Analysis on PQC Algorithms.
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
Showing 5 of 7 shared publications
David Andrews
University of Arkansas at Fayetteville (US)
6 shared publications
- A Masked Pure-Hardware Implementation of Kyber Cryptographic Algorithm
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Showing 5 of 6 shared publications
Nathaniel Fredricks
University of Arkansas at Fayetteville
4 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
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
Jason D. Bakos
University of South Carolina (US)
4 shared publications
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
- DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing
MD Arafat Kabir
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
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
Joel Mandebi
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
- IMAGine: An In-Memory Accelerated GEMV Engine Overlay
Alexander Nelson
University of Arkansas at Fayetteville
2 shared publications
In database
- A Masked Pure-Hardware Implementation of Kyber Cryptographic Algorithm
- Power-based Side Channel Attack Analysis on PQC Algorithms.
Michael J. Fahr
1 shared publication
In database
- Power-based Side Channel Attack Analysis on PQC Algorithms.
Tristen Teague
1 shared publication
In database
- Power-based Side Channel Attack Analysis on PQC Algorithms.
David Andrews
1 shared publication
In database
- Power-based Side Channel Attack Analysis on PQC Algorithms.
Zhijun Gui
1 shared publication
- Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna
Hugh Churchill
1 shared publication
In database
- Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna
Magda El‐Shenawee
1 shared publication
In database
- Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna
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
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