Speakers
Javier Mauricio Duarte
(Univ. of California San Diego (US))
Jovan Mitrevski
(Fermi National Accelerator Lab. (US))
Description
hls4ml is a flexible, open-source platform that addresses these hardware development challenges by converting high-level neural networks from PyTorch, Keras, or similar frameworks into high-level synthesis (HLS) kernels suitable for deployment on FPGAs and ASICs. During this topical session, developers and users will discuss the evolving roadmap, open issues and challenges, and opportunities for new contributors.
The detailed agenda for the discussion is at https://indico.cern.ch/event/1720984/
Authors
Benjamin Ramhorst
(Imperial College (GB))
Jan-Frederik Schulte
(Purdue University (US))
Javier Mauricio Duarte
(Univ. of California San Diego (US))
Jovan Mitrevski
(Fermi National Accelerator Lab. (US))