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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
Video

Using the Intel® Parallel Studio XE 2015 Composer Edition for Fortran with Microsoft* Visual Studio 2012*

Using the Intel® Parallel Studio XE 2015 Composer Edition for Fortran with Microsoft* Visual Studio 2012*

Authored by admin Last updated on 09/21/2017 - 18:18
Video

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
Video

Embracing Parallelism in Your Applications

James Reinders Intel Chief Evangelist, talks about Code Modernization and how software developers can take full advantage of parallelism to achieve best performance ba

Authored by Gerald M. (Intel) Last updated on 03/21/2019 - 12:08
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Vectorizing Fortran using OpenMP* 4.x - Filling the SIMD Lanes

Authored by admin Last updated on 02/28/2019 - 16:59
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What’s New in Intel® Fortran 16.0 for Intel® Parallel Studio XE 2016

This session will cover new features in the Intel® Fortran compiler version 16, part of Intel® Parallel Studio XE 2016.

Authored by Last updated on 09/21/2017 - 18:18
Video

Using Nested Parallelism in OpenMP*

Multi-level parallelism with OpenMP* deserves your consideration—even if you've rejected it in the past. OpenMP nesting is turned off by default by most implementations.

Authored by JEONGNIM K. (Intel) Last updated on 12/12/2018 - 18:08
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Vector-Parallel Code Modernization Webinar

Learn how to optimize some difficult loops with Intel® compilers for Fortran*, C, and C++.

Authored by Tim P. (Blackbelt) Last updated on 12/12/2018 - 18:08
Video

Effective Parallel Optimizations with the Intel® Fortran Compiler

The SIMD and multi-core features of modern processors enable large improvements in application performance―but only if the application is effectively optimized for parallel execution.

Authored by Martyn Corden (Intel) Last updated on 06/10/2019 - 09:40
Video

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

Authored by admin Last updated on 03/21/2019 - 12:08