activity
20212026
most citedhls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

8 citations · 20 across the 12 of their papers we have counts for

collaborators
Showing cs.ARShow all

1 paper · 1 filter

cs.AR2025

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun +50

We present hls4ml, a free and open-source platform that translates machine learning (ML) models from modern deep learning frameworks into high-level synthesis (HLS) code that can b…