no code implementations • 10 Jun 2023 • Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
In this paper, we present RAMAN, a Re-configurable and spArse tinyML Accelerator for infereNce on edge, architected to exploit the sparsity to reduce area (storage), power as well as latency.
