The algorithms to teach a computer to “see, understand and make decisions” for ADAS and Autonomous Drive systems require a significant amount of parallel compute performance executing at the lowest possible power. This session will introduce why HLS (High-level Synthesis) is such a good fit for computer vision and deep learning and how it can be used adapt rapidly changing algorithms and/or trained neural networks to low-power, high performance custom hardware accelerators.
