Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification

no code implementations • 17 May 2019 • Alejandro Linares-Barranco, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Tobi Delbruck

The use of dynamic vision sensors (DVS) that emulate the behavior of a biological retina is taking an incremental importance to improve this applications due to its nature, where the information is represented by a continuous stream of spikes and the frames to be processed by the CNN are constructed collecting a fixed number of these spikes (called events).

General Classification

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

no code implementations • 5 Jun 2017 • Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbruck

By exploiting sparsity, NullHop achieves an efficiency of 368%, maintains over 98% utilization of the MAC units, and achieves a power efficiency of over 3TOp/s/W in a core area of 6. 3mm$^2$.