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Scope Oriented Programming

There is a long discussion talking about the advantages of Procedural Programming vs. the advantages of Object Oriented Programming.

Criado por Última atualização em 23/06/2019 - 19:00
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The switch() statement isn't really evil, right?

In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.

Criado por Clay B. (Blackbelt) Última atualização em 04/07/2019 - 10:46
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Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Criado por Mike P. (Intel) Última atualização em 04/07/2019 - 19:51
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Reduce Boilerplate Code in Parallelized Loops with C++11 Lambda Expressions

Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
Criado por gaston-hillar (Blackbelt) Última atualização em 12/12/2018 - 18:00
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Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Criado por Sharmila C. (Intel) Última atualização em 01/08/2019 - 09:30
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Learn Once, Apply Everywhere: Why React.js is Trending

In fact, according to Stack Overflow’s 2016 developer survey, React.js is the top trending technology in the web dev category.
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 19:11
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Doctor Fortran in "Eighteen is the New Fifteen"

When the international Fortran standards committee (WG5) met in 2012 to set a schedule for the next standard revision, the informal name of the standard was set to be "Fortran 2015". The schedule changed over the subsequent years, but the name stayed the same. The current schedule has the standard being published in the second half of 2018, which caused a question to be asked: "Should we perhaps...
Criado por Steve Lionel (Ret.) (Blackbelt) Última atualização em 12/12/2018 - 18:00
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Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Criado por James R. (Blackbelt) Última atualização em 27/08/2019 - 13:50
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英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Criado por James R. (Blackbelt) Última atualização em 27/08/2019 - 13:50