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The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

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Intel Vectorization Tools

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Intel® Threading Building Blocks, OpenMP* ou threads nativas?

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Parallelization Using Intel® MPI

Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
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Cache Blocking Techniques

Cache Blocking Techniques Overview

Criado por AmandaS (Intel) Última atualização em 30/09/2019 - 17:28
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Memory Layout Transformations

Memory Layout Transformations Overview
Criado por AmandaS (Intel) Última atualização em 30/09/2019 - 17:28
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Programming and Compiling for Intel® Many Integrated Core Architecture

This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Criado por AmandaS (Intel) Última atualização em 30/09/2019 - 17:28
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Vectorization and Optimization Reports

Optimization reports from the Intel® compilers guide the developer with optimization details
Criado por Ronald W Green (Blackbelt) Última atualização em 30/09/2019 - 17:28
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Efficient Parallelization

This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
Criado por Ronald W Green (Blackbelt) Última atualização em 30/09/2019 - 17:28
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Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
Criado por David M. Última atualização em 15/10/2019 - 15:30
Article

Приводим данные и код в порядок: данные и разметка, часть 2

In this pair of articles on performance and memory covers basic concepts to provide guidance to developers seeking to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Criado por David M. Última atualização em 15/10/2019 - 16:40