Preliminary Keynote Speakers Stockholm 2021
Keynote speaker: Magnus Peterson, Synective Labs AB, Sweden
Title: FPGAs for Deep Learning applications – Trends, solutions, and tools
Abstract: Deep Learning has over the last years become a game-changer in many fields, adding extraordinary capabilities to systems and products. With strong competition from other technologies, FPGAs are in many cases a leading candidate platform for deep learning implementation, combining high performance, low power, and high flexibility. Seeing new high-volume opportunities, like automotive vision applications, the FPGA vendors have put large efforts into developing streamlined design flows for easy integration of deep learning inference engines into an FPGA design.
This talk will look at the current trends and present different ways of implementing Deep Learning inference on FPGAs. It will also walk you through the different approaches taken by the different FPGA vendors and their different deep learning toolsets.
CV: Magnus has more than 35 years of experience from developing high performance embedded solutions, mainly within vision and image processing, where FPGAs play a key role. He has been with Synective Labs since 2003 and worked previously with vision-based industrial inspection systems at Innovativ Vision AB.