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Using Tasks Instead of Threads

Tasks are a lightweight alternative to threads that provide faster startup and shutdown times, better load balancing, an efficient use of available resources, and a higher level of abstraction.
Criado por administrar Última atualização em 05/07/2019 - 09:41
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Использование задач вместо потоков

Использование задач является достойной альтернативой потокам, которая позволяет реализовать более быстрый запуск и завершение, лучший баланс нагрузки, эффективное использование имеющихся ресурсов и высокий уровень абстракции.
Criado por administrar Última atualização em 05/07/2019 - 09:52
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Utilizando tarefas ao invés de threads

Tasks are a lightweight alternative to threads that provide faster startup and shutdown times, better load balancing, an efficient use of available resources, and a higher level of abstraction.
Criado por administrar Última atualização em 05/07/2019 - 09:53
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90 errors in open-source projects

There are actually 91 errors described in the article, but number 90 looks nicer in the title. The article is intended for C/C++ programmers, but developers working with other languages may also find it interesting.
Criado por Andrey Karpov (Blackbelt) Última atualização em 20/06/2019 - 22:51
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Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks

Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Criado por Jeffrey M. (Intel) Última atualização em 31/07/2019 - 15:05
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Measuring performance in HPC

This is the first article in a series of articles about High Performance Computing with the Intel® Xeon Phi™ coprocessor.

Criado por Última atualização em 06/07/2019 - 16:10
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Explicit Vector Programming in Fortran

No longer does Moore’s Law result in higher frequencies and improved scalar application performance; instead, higher transistor counts lead to increased parallelism, both through more cores and thr

Criado por Martyn Corden (Intel) Última atualização em 27/03/2019 - 15:50
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Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code 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 06/07/2019 - 16:40
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Peel the Onion (Optimization Techniques)

This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
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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 06/07/2019 - 16:40