Publications

• Kabir, M. A., Fredricks, N., Kamucheka, T., Mandebi, J., Huang, M., Bakos, J. D., & Andrews, D. (2025). DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing. ACM Transactions on Reconfigurable Technology and Systems, 18(4), 1-38.
• Kamucheka, T., & Andrews, D. (2024, May). Ph. D. Project: A Compiler-Driven Approach to HW/SW Co-Design of Deep-Learning Accelerators. In 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (pp. 237-238). IEEE.
• Kabir, M. A., Kamucheka, T., Fredricks, N., Mandebi, J., Bakos, J., Huang, M., & Andrews, D. (2024, September). IMAGine: An In-Memory Accelerated GEMV Engine Overlay. In 2024 34th International Conference on Field-Programmable Logic and Applications (FPL) (pp. 220-226). IEEE.
• Kabir, M. A., Kamucheka, T., Fredricks, N., Mandebi, J., Bakos, J., Huang, M., & Andrews, D. (2024, May). The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators. In 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (pp. 223-223). IEEE.
• Kamucheka, T., Nelson, A., Andrews, D., & Huang, M. (2022, December). A masked pure-hardware implementation of Kyber cryptographic algorithm. In 2022 International Conference on Field-Programmable Technology (ICFPT) (pp. 1-1). IEEE.
• Kamucheka, T., Fahr, M., Teague, T., Nelson, A., Andrews, D., & Huang, M. (2021). Power-based side-channel attack analysis on PQC algorithms. Cryptology ePrint Archive.
• Kamucheka, T., Mai, Q., Wei, G., Huang, M., Liu, X., CuSMC: Fast Parallel Implementation for Sequential Monte Carlo on GPU - R Package
• Kamucheka, T., Gui, Z., Huang, M., Churchill, H., & El-Shenawee, M. (2020, July). Benchmark of Acceleware vs. XFdtd for Field Simulations of Microstrip Patch Antenna. In 2020 International Applied Computational Electromagnetics Society Symposium (ACES) (pp. 1-2). IEEE.