5 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
Khayrul Islam, Ryan F. Forelli, Jianzhong Han +6
Precise cell classification is essential in biomedical diagnostics and therapeutic monitoring, particularly for identifying diverse cell types involved in various diseases. Traditi…
Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Yumou Wei, Ryan F. Forelli, Chris Hansen +6
Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation. Optical high-speed cameras provide a power…