Achieving efficient realization of Kalman Filter on CGRA through algorithm-architecture co-design

• Main Authors: Merchant, Farhad, Vatwani, Tarun, Chattopadhyay, Anupam, Raha, Soumyendu, Nandy, Soumitra Kumar, Narayan, Ranjani
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Kalman Filter; Reconfigurable Architectures Computation
• Online Access: https://hdl.handle.net/10356/142291
• Institution: Nanyang Technological University

In this paper, we present efficient realization of Kalman Filter (KF) that can achieve up to 65% of the theoretical peak performance of underlying architecture platform. KF is realized using Modified Faddeeva Algorithm (MFA) as a basic building block due to its versatility and REDEFINE Coarse Graine...