We hope you’ll agree after you read the latest issue of The Parallel Universe, Intel’s quarterly magazine for developers. In this issue, we take a fresh look at what’s come before (OpenMP, MySQL*, Intel® C++ Compiler, vectorization) while looking ahead (autonomous driving applications, edge-to-cloud data compression, the latest programming languages).
Machine learning applications are very compute intensive by their nature. That is why optimization for performance is quite important for them. One of the most popular libraries, Tensorflow*, already has an embedded timeline feature that helps understand which parts of the computational graph are causing bottlenecks but it lacks some advanced features like an architectural analysis.
This article covers the installation steps with troubleshooting and tips for Intel® Parallel Studio XE on Amazon Web Services* (AWS*). Note that some of the tools may have functional restrictions due to the cloud environment. For system requirements, please see Release Notes for details. For further Intel related support, visit https://software.intel.com/support.
System Requirements and Prerequisites
To ensure successful installation, please review the release notes and verify that your system has the capability, capacity and prerequisites to install the product.
Business users expect their applications to be fast, secure, and always available. Anything less is unacceptable. That’s why F5 gives the developers who build those applications the tools they need to deliver maximum speed, security, and availability.