Hello all! Happily, this article refers to the newly accessible Intel® AI Devcloud! If you don't have access, sign up for it now.
If you don't know anything about it, it's a server cluster consisting of Intel® Xeon® Scalable processors, primed for all your machine learning and deep learning needs. It's also pre-loaded with these frameworks and libraries:
The Intel® XDK provides a cross-development environment for creating Node.js* IoT applications that run on headless embedded Linux* systems. The tools used to assemble this environment within the Intel® XDK are standard open-source tools. This article provides a starting point for assembling a similar set of tools for developing Node.js applications on headless IoT Linux devices.
Intel® XDK IoT Development Components
That part of the Intel® XDK that supports IoT application development includes the following key functional elements:
There are many options to manage Intel® Advisor analyses overhead depending on code of your application and data you want to collect. Note that most of these methods are based on minimizing the amount of data collected. It is also important to avoid usage of “slow file system”, e.g. slow remote shared file system, for Intel Advisor project directory.