2 papers
cs.LG2022
MinUn: Accurate ML Inference on Microcontrollers
Shikhar Jaiswal, Rahul Kiran Kranti Goli, Aayan Kumar +2
Running machine learning inference on tiny devices, known as TinyML, is an emerging research area. This task requires generating inference code that uses memory frugally, a task th…
cs.AR2021
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma +2
Recent breakthroughs in ML have produced new classes of models that allow ML inference to run directly on milliwatt-powered IoT devices. On one hand, existing ML-to-FPGA compilers…