{"id":36051,"date":"2015-08-25T15:00:42","date_gmt":"2015-08-25T15:00:42","guid":{"rendered":"http:\/\/newsroom.intel.com\/community\/intel_newsroom\/blog\/2015\/08\/25\/chip-shot-intel-parallel-studio-2016-modernizes-code-for-performance-and-big-data-analysis"},"modified":"2015-08-25T15:00:42","modified_gmt":"2015-08-25T15:00:42","slug":"chip-shot-intel-parallel-studio-2016-modernizes-code-for-performance-and-big-data-analysis","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/intel\/chip-shot-intel-parallel-studio-2016-modernizes-code-for-performance-and-big-data-analysis\/","title":{"rendered":"Chip Shot: Intel\u00ae Parallel Studio 2016 Modernizes Code for Performance and Big Data Analysis"},"content":{"rendered":"
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Intel today launched Intel® Parallel Studio XE 2016, the next iteration of the leading developer toolkit for high performance computing (HPC) and technical computing applications targeting Intel® architecture, including support for the latest Intel® Xeon® and Intel® Xeon Phi™ processors. This release introduces the Intel® Data Analytics Acceleration Library<\/a>, which turns big data into meaningful information with advanced analytics algorithms supporting all stages of data analysis. Additional new capabilities include a Vectorization Advisor to assist developers in achieving vectorization more quickly, and the MPI Performance Snapshot to help tune analysis of message passing interface communication activity up to 32K ranks. Learn more about Intel Parallel Studio XE 2016<\/a> in a blog post<\/a> from James Reinders, chief evangelist for developer products at Intel.<\/p><\/div><\/div>\"\"\/","protected":false},"excerpt":{"rendered":"

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Intel today launched Intel® Parallel Studio XE 2016, the next iteration of the leading developer toolkit for high performance computing (HPC) and technical computing applications targeting Intel® architecture, including support for the latest Intel® Xeon® and Intel® Xeon Phi™ processors. This release introduces the Intel® Data Analytics Acceleration Library<\/a>, which turns big data into meaningful information with advanced analytics algorithms supporting all stages of data analysis. Additional new capabilities include a Vectorization Advisor to assist developers in achieving vectorization more quickly, and the MPI Performance Snapshot to help tune analysis of message passing interface communication activity up to 32K ranks. Learn more about Intel Parallel Studio XE 2016<\/a> in a blog post<\/a> from James Reinders, chief evangelist for developer products at Intel.<\/p>\n<\/div>\n<\/div>\n

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