Jerónimo López Gómez

Researcher @ Universidad de Antioquia

About

Jerónimo is a researcher at Universidad de Antioquia specializing in hardware-software co-design and machine learning acceleration. He works on deploying ML models to FPGAs and other hardware platforms using hls4ml and Python, bridging the gap between high-level Python ML development and low-level hardware implementation.

Workshop

Machine LearningScientific Computing

hls4ml: From Python Models to Hardware Acceleration

FORMAT: WorkshopLEVEL: IntermediateLANGUAGE: Spanish

Bridge the gap between Python machine learning and hardware implementation using hls4ml. In this workshop, you'll learn how to take ML models trained in Python (TensorFlow, PyTorch, scikit-learn) and deploy them to FPGAs using the hls4ml library. We'll cover model quantization, hardware-aware training, the HLS synthesis workflow, performance profiling, and practical considerations for deploying ML at the edge. No prior FPGA experience required.

Jerónimo López Gómez

Researcher @ Universidad de Antioquia

Natalia Echeverri Durán

Researcher @ Universidad de Antioquia

View talk

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