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Article

Distributed Memory Coarray Programs with Process Pinning

This article describes a method to compile and run a distributed memory coarray program using Intel® Parallel Studio XE Cluster Edition for Linux . An example using Linux* is presented.
Автор: Kenneth Craft (Intel) Последнее обновление: 08.07.2019 - 14:58
Article

Optimize Seismic Image Processing on Intel® Many Integrated Core Architecture (Intel® MIC Architecture)

Introduction
Автор: админ Последнее обновление: 21.03.2019 - 12:08
Article

Using the Intel® MPI Library on Intel® Xeon Phi™ Coprocessor Systems

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Автор: Nguyen, Loc Q (Intel) Последнее обновление: 21.03.2019 - 12:00
Article

Measuring performance in HPC

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

Автор: Последнее обновление: 06.07.2019 - 16:10
Article

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

Автор: Martyn Corden (Intel) Последнее обновление: 27.03.2019 - 15:50
Блоги

Processing Arrays of Bits with Intel® Advanced Vector Extensions 512 (Intel® AVX-512)

As announced last week by James, future Intel

Автор: Thomas Willhalm (Intel) Последнее обновление: 04.07.2019 - 19:30
Article

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.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
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.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
Article

Offload Computations from Servers with an Intel® Xeon Phi™ Processor

Learn how to use Offload over Fabric software for a server migration path.
Автор: Jan Z. (Intel) Последнее обновление: 06.07.2019 - 16:40