High-Level Synthesis (HLS) has been used in multiple companies, projects and designs targeting vision processing in autonomous car projects. HLS is the fastest way to turn complex algorithms into efficient HW implementation and also create a methodology that enables design teams to rapidly react to changes in algorithm or functional specification and still make demanding schedules. This session will
step through the basics of how HLS works and why HLS is such a good fit for Image Processing and vision applications using a practical example vision algorithm (HOG: Histogram of Oriented Gradients).
This webinar is part 2 of the seminar Rapid Algorithm to HW: Using HLS for Computer Vision and Deep Learning.
Michael Fingeroff has worked as an HLS Technologist for the Catapult High-Level Synthesis Platform at Siemens Digital Industries Software since 2002. His areas of interest include Machine Learning, DSP, and high-performance video hardware. Prior to working for Siemens Digital Industries Software, he worked as a hardware design engineer developing real-time broadband video systems. Mike Fingeroff received both his bachelor's and master's degrees in electrical engineering from Temple University in 1990 and 1995 respectively.