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Intel’s new parallel programming model is a new set of Libraries developed by Intel Software and Solutions Group in order to help developers write scalable code without worrying about managing threads.
Use the Intel Compiler 11.1 or 12.0 with the switch /QxAVX (Windows*) or -xavx (Linux*) to compile applications for Intel® Advanced Vector Extensions (Intel® AVX).
One key to attaining good parallel performance is choosing the right granularity for the application. Granularity is the amount of real work in the parallel task. If granularity is too fine, then performance can suffer from communication overhead.
it illustrates how to use Intel IPP in Intel® Parallel Composer
This article provides an overview of the methods available in Intel® Parallel Composer, along with a comparison of their key benefits.
This whitepaper provides tips and tricks on how to best take advantage of the additional insight into parallel data constructs the Intel® Parallel Debugger Extension brings to the Microsoft Visual Studio* debug environment. In doing so it provides a high-level overview of the Intel® Parallel Debugger Extension for Microsoft Visual Studio* and the key features that enhance the debug experience.
By Jim Dempsey
Under Linux many commands are executed from the command line, which is OK. But if the program you are starting has a mouse driven GUI in my view the command line doesn't really make sense.
When confronted with nested loops, the granularity of the computations that are assigned to threads will directly affect performance. Loop transformations such as splitting and merging nested loops can make parallelization easier and more productive.
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Pour de plus amples informations sur les optimisations de compilation, consultez notre Avertissement concernant les optimisations.