Scalable and energy-efficient reconfigurable accelerator for column-wise givens rotation
Zoltán Endre Rákossy, Farhad Merchant, Axel Acosta-Aponte, S. K. Nandy, Anupam Chattopadhyay · 2014
A new layered reconfigurable architecture is proposed which exploits modularity, scalability and flexibility to achieve high energy efficiency and memory bandwidth. Using two flavors of Column-wise Givens rotation, derived from traditional Fast Givens and Square root and Division Free Givens Rotation algorithms the architecture is thoroughly evaluated for scalability, speed, area and energy. Combining an efficient mapping strategy of the highly parallel algorithms capable of annihilation of multiple elements of a column of the input matrix and using the new features of the architecture, 9 architectural variants were explored achieving a clean trade-off of execution speed versus area, while keeping relatively constant energy.