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Empowering Oil and Gas Applications for Intel® Xeon®, Xeon Phi™ architectures using Intel® Tools

Improving the performance of software applications is a constant challenge for software developers in the Oil and Gas industry.

Authored by admin Last updated on 07/06/2019 - 19:20
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Flow Graph with Intel® Threading Building Blocks

https://software.intel.com/en-us/intel-tbb This lecture discusses the importance of building robust systems by mapping the actor/agent paradigm to your algorithm or c

Authored by admin Last updated on 08/01/2019 - 09:30
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Sparse Linear Algebra Functions in Intel® Math Kernel Library

Sparse matrix algorithms are encountered in a broad range of important scientific computing applications.

Authored by Zhang, Zhang (Intel) Last updated on 12/12/2018 - 18:00
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Remodel your Code with Intel® Advisor XE

Authored by Last updated on 02/28/2019 - 16:41
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Optimize a Pythagorean Prime Number Finder Using OpenMP* with the Intel® Fortran Compiler

Video tutorial explaining how to parallelize a Pythagorean prime number finder using the Intel® Visual Fortran Compiler with OpenMP*.

Authored by admin Last updated on 12/20/2018 - 15:36
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Update Now: What’s New in Intel® Compilers and Libraries

https://software.intel.com/en-us/intel-advisor-xe Build fast code faster with the compilers and libraries in the new Intel® Compiler Version 15.0.

Authored by admin Last updated on 12/12/2018 - 18:00
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Knights Corner: Your Path to Knights Landing

https://software.intel.com/en-us/intel-advisor-xe Join parallelism expert and evangelist James Reinders and find out how to best prepare your application for K

Authored by James R. (Blackbelt) Last updated on 07/29/2019 - 08:00
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MPI-3 Is Here: Optimize and Perform with Intel® MPI Tools

https://software.intel.com/en-us/intel-mpi-library New functionality supporting the latest MPI-3.0 standard can benefit your HPC applications.

Authored by Gergana S. (Blackbelt) Last updated on 07/04/2019 - 10:14
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New Vectorization Features of the Intel® Compiler

Intel® Compiler vectorization features are improving its capabilities continuously through utilizing STL vectors, indirect addressing, multi-dimensional arrays, and SIMD of OpenMP* 4.0.

Authored by admin Last updated on 12/12/2018 - 18:08