Intel® Parallel Studio XE 2016 Professional Edition parallel software development suite combines Intel's C/C++ compiler and Fortran compiler; performance and parallel libraries; error checking, code robustness, and performance profiling tools into a single suite offering. This new product release includes:
This webinar will give you tips to verify system functionality. It will include information on how to embed capabilities into software, as well as how to customize and extend capabilities of the tool.
The overall performance of many HPC applications is determined by the weakest link in the compute chain. This webinar leads you through a process of how to maintain optimal performance.
In this webinar, we'll look at more complex loops that can still be vectorized, such as search loops and loops containing indirect addressing (gathers and scatters), valarrays, and function calls.
Software must be both parallel and vectorized to fully utilize today’s—and tomorrow’s—hardware. But not all threading or vectorization designs are worthwhile. Kevin O’Leary is here to help.
Multi-level parallelism with OpenMP* deserves your consideration—even if you've rejected it in the past. Join James as he discusses successful examples of using nesting with OpenMP.
Big data is BIG. And you need information faster. New Intel® Data Analytics Acceleration Library (Intel® DAAL) speeds data processing for data mining, statistical analysis, and machine learning.
There are many different techniques and strategies for maximizing parallelism in your system. Join Kevin O’Leary as he guides you these techniques and more.
How can you boost code performance with pre-optimized performance libraries? Join Chao Yu to find out.
You want your code to run faster on Windows*, Linux* and/or OS X*. Our presenter Gergana Slavova will show you how.