If you have a named-user license and you intend to install Intel® Parallel Studio XE 2016 on a system that is not connected to the Internet you will need to obtain a license file for the offline installation. Starting with the Intel Parallel Studio XE 2016 only a serial number will provided in the registration email. To generate a license file you need to do the following:
If you have a named-user license, when you install Intel® Parallel Studio XE 2016 on your system using the serial number provided in the registration email, a license file will be created and installed on your system. This is a unique license file and is locked to that system. As such, the license file from one system will not work on another system.
If you installed the product on more than one system, each system will have its unique license file. If you need to obtain the license file for a specific system after installation you need to do the following:
Intel® Threading Building Blocks (Intel® TBB) is a runtime-based parallel programming model for C++ code that uses threads. It consists of a template-based runtime library to help you harness the latent performance of multicore processors. Use Intel TBB to write scalable applications that:
- Specify logical parallel structure instead of threads
- Emphasize data parallel programming
- Take advantage of concurrent collections and parallel algorithms
Intel TBB is available as a standalone product as well as part of the following products:
Intel® Cluster Checker verifies the configuration and performance of Linux based clusters and checks compliance with the Intel® Cluster Ready architecture specification. If issues are found, Intel® Cluster Checker diagnoses the problems and may provide recommendations on how to repair the cluster.
Intel® Cluster Checker has the following features:
As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.