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Developer Success Stories Library

Intel® Parallel Studio XE | Intel® System Studio  | Intel® Media Server StudioIntel® Advisor | Intel® Data Analytics Acceleration Library | Intel® Distribution for Python* Intel® Inspector XE | Intel®...

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Building FreeFEM++ with Intel Software tools for developers

FreeFEM++ is a package that targeted for researchers who needs a powerful tool for solving partial differential equations.It can be found at http://www.freefem.org/By default build instructions for...

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An Approach to Parallel Processing with Unity*

Idea Behind This ProjectThe idea behind this project was to provide a demonstration of parallel processing in gaming with Unity* and how to perform gaming-related physics using this game engine. In...

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Intel® Parallel Computing Center at Brigham & Women’s Hospital

Principal InvestigatorDr. Patsopoulos the past few years has been leading the genetics of multiple sclerosis. He has analyzed the raw genetic data of more than 100,000 individuals, modelling TBs of...

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Intel® Parallel Studio XE 2019 Beta - Join Now

Thank you for your interest in the Intel® Parallel Studio XE 2019 Beta Program. As a Beta participant, you gain early access to new features and analysis techniques to optimize your high performance...

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Accelerating x265 with Intel® Advanced Vector Extensions 512 (Intel® AVX-512)

IntroductionMotivationVector units in CPUs have become the de facto standard for acceleration of media, and other kernels that exhibit parallelism according to the single instruction, multiple data...

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Intel® Parallel Computing Center at LAMDA Group, Nanjing University

   Principal Investigators:Prof. Zhi-Hua Zhou is currently Professor and Standing Deputy Director of the National Key Laboratory for Novel Software Technology; he is also the Founding Director of the...

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Intel® Parallel Computing Center at First Institute of Oceanography

Principal Investigators:Project Lead, Prof. Fangli QiaoFangli Qiao has been working on the development of new generation ocean and climate models. Working with his research team, he established the...

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Tips to Improve Performance for Popular Deep Learning Frameworks on CPUs

IntroductionThe purpose of this document is to help developers speed up the execution of the programs that use popular deep learning frameworks in the background. There are situations where we have...

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Intel® Parallel Computing Center at University of Florida

Principal InvestigatorsDavid Ojika is a fourth-year doctoral student of computer engineering, working with Dr. Darin Acosta. Having received his Master’s degree from California State University, David...

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