tinyML Summit 2021 https://www.tinyml.org/event/summit-2021
“Many shades of acceleration – an Open TinyML Platform Perspective”
Luca Benini – University of Bologna
The next wave of “Extreme Edge AI” pushes signal processing and machine learning aggressively towards sensors and actuators, with sub mW (TinyML) power budgets, while at the same time raising the bar in terms of accuracy and flexibility. To succeed in this balancing act, we need principled ways to walk the line between general-purpose and highly specialized architectures. In this talk I will detail on how to walk the line, drawing from the 40+ chips tape-out experience of the open PULP (parallel ultra-low power) platform, based on RISC-V processors coupled with domain-specific acceleration engines.