A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion
(2022)
Conference Proceeding
Alqahtani, S., Zhu, Y., Shi, Q., Meng, X., & Wang, X. (2022). A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion. In 2022 International Conference on Field-Programmable Technology (ICFPT). https://doi.org/10.1109/ICFPT56656.2022.9974569
This paper introduces an efficient and customizable FPGA-based architecture for parallel matrix inversion. The capability of the proposed customizable architecture to adapt to different matrix sizes with low latency and effective resource utilization... Read More about A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion.