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Unlocking the Power of Parallel Coding to Access Better Performance in Multi-Core Environments

A number of different frameworks and standards can be employed for parallel coding. The choice of the most suitable depends on the purpose of the application, its overall requirements and the target execution environment. Selecting the right framework is imperative to obtaining the best possible performance increase. The choice of framework is based on the available memory, overheads, controls and support.

Intel Parallel Studio XE 2018 Released

Intel has announced the release of Intel® Parallel Studio XE 2018, with updated compilers and developer tools. It is now available for downloading on a 30-day trial basis. ” This week’s formal release of the fully supported product is notable with new features that further enhance the toolset for accelerating HPC applications.”

C++ Parallel STL Introduced in Intel Parallel Studio XE 2018 Beta

Parallel STL now makes it possible to transform existing sequential C++ code to take advantage of the threading and vectorization capabilities of modern hardware architectures. It does this by extending the C++ Standard Template Library with an execution policy argument that specifies the degree of threading and vectorization for each algorithm used.