HLS has been around for years, so why are we seeing such growth now? This webinar starts with an introduction of basic HLS concepts, design methodologies, best fits for HLS with customer use cases/highlights that explain the benefits they experienced and their adoption path. It will then move to a discussion of trends and an introduction as to why successful companies deploy HLS for vision and deep learning applications.
This webinar is part 1 of the seminar HLS for vision and Deep Learning Hardware Accelerators Seminar.
What you will learn:
How HLS is used to implement a computer vision algorithm in either an FPGA or ASIC technology and the trade-offs for power and performance.
How HLS is employed to analyze unique architectures for a very energy-efficient inference solution such as a CNN (Convolutional Neural Network) from a pre-trained network.
How to integrate the design created in HLS into a larger system, including peripherals, processor, and software.
How to verify the design in the context of the larger system and how to deploy it into an FPGA prototype board.
Meet the speaker
Former Director of Marketing
Ms. Burns has over 30 years of experience in the chip design and the EDA industries in various roles of engineering, applications engineering, technical marketing and product management. She was formerly the Director of Marketing for the Calypto Systems' Division at Siemens EDA responsible for low-power RTL solutions with PowerPro and HLS Solutions with Catapult. Prior to Siemens and Mentor, Ms. Burns held engineering and marketing positions at CoWare, Cadence, Synopsys, Viewlogic, Computervision and Intel. She holds a BSCpE from Oregon State University.