Intel Parallel Studio XE 2016 Composer Edition for C ++

Software Intel Parallel Studio XE 2016 Composer Edition for C ++ Simplifies the creation of applications for Windows, Linux and Mac OS X, which take advantage of scalable parallel processing for increased productivity. Complex Intel Parallel Studio XE 2016 Composer Edition for C ++ Includes tools for creating fast parallel applications in C ++: compilers, performance libraries and parallel models, optimized for writing fast parallel code.

Features of Intel Parallel Studio XE 2016 Composer Edition for C ++:

• Fast code. Increase application performance by scaling current processors and next-generation processes.
• Operative code creation. Using a toolkit that simplifies the creation of fast and reliable parallel applications.
• The composition of the Intel Parallel Studio XE 2016 Composer Edition for C ++:
• Intel C ++ compilers, the most advanced in the industry.
• Intel Math Kernel Mathematical Library for improving performance.
• Intel Threading Building Blocks.
• The Intel Integrated Performance Primitives library is a library of data and media.
• OpenMP 4.0 and Intel Cilk Plus are parallel high-level models.
• Rogue Wave Library IMSL (optional module).

New in Intel Parallel Studio XE 2016:

• The support of standards (C11, C ++ 14, OpenMP 4.1) has expanded.
• Support for the next version of the standard OpenMP 4.1 extends the ability to work with the unloading of calculations on the coprocessor Xeon Phi and other possible accelerators.
• A new Intel DAAL library was added, which is mainly intended for the stage of data preparation, modeling and evaluation of results, if we talk about the presentation of methods for data mining within this standard. At the same time, it is optimized with the help of Intel Math Kernel Library and Intel Integrated Performance Primitives algorithms.
• Support for macros (Feature Test macros), which allow to determine the support of one or another feature of the standard by the compiler.
• Accelerated code generation through the analysis tool SIMD-programs Vectorization Advisor, which makes auto-vectoring more accessible and effective.
• New Intel Math Kernel Library components and Intel Integrated Performance Primitives.
• Enhanced performance of cluster computing, which allows you to achieve faster profiling tasks MPI-interface using the tool MPI Performance Snapshot.