In this article, we’ll take a firsthand look at how to use Intel® Arria® 10 FPGAs with the OpenVINO™ toolkit (which stands for open visual inference and neural network optimization). The OpenVINO toolkit has much to offer, so I’ll start with a high-level overview showing how it helps develop applications and solutions that emulate human vision using a common API. Intel supports targeting of CPUs, GPUs, Intel® Movidius™ hardware including their Neural Compute Sticks, and FPGAs with the common API. I especially want to highlight another way to use FPGAs that doesn’t require knowledge of OpenCL* or VHDL* to get great performance. However, like any effort to get maximum performance, it doesn’t hurt to have some understanding about what’s happening under the hood. I’ll shed some light on that to satisfy your curiosity―and to help you survive the buzzwords if you have to debug your setup to get things working.
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