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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.
Authored by admin Last updated on 07/05/2019 - 09:41
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Exploiting Data Parallelism in Ordered Data Streams

This article identifies some of these challenges and illustrates strategies for addressing them while maintaining parallel performance.
Authored by admin Last updated on 07/05/2019 - 14:50
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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.
Authored by admin Last updated on 07/05/2019 - 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.
Authored by admin Last updated on 07/05/2019 - 09:53
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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.

Authored by Last updated on 07/06/2019 - 16:10
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Vectorizing Loops with Calls to User-Defined External Functions

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Authored by Anoop M. (Intel) Last updated on 12/12/2018 - 18:00
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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.
Authored by David M. Last updated on 07/06/2019 - 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).
Authored by jimdempseyatthecove (Blackbelt) Last updated on 12/12/2018 - 18:00
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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.
Authored by David M. Last updated on 07/06/2019 - 16:40
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Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Authored by David M. Last updated on 07/06/2019 - 16:40