GPUs are often used to accelerate machine learning inference as they offer improvements in performance over standard processors. FPGAs, however, have unique capabilities that offer performance advantages over both CPUs and GPUs. This session will introduce those capabilities and explore some metrics.
Experienced Technical Marketing Engineer with over 20 years experience in the semiconductor industry, most of them with Xilinx as both a Field Application Engineer and more recently, in marketing. Prior to that, did actual embedded design on the earliest 32-bit processors for both aerospace and commercial applications.