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Article

Compiling for the Intel® Xeon Phi™ Processor and the Intel® Advanced Vector Extensions 512 ISA

This document briefly gives an overview of the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) and shows different ways to build an application for the Intel® Xeon Phi™ processor x200 using the Intel® compiler.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 15.10.2019 - 15:30
Article

High-Performance, Modern Code Optimizations for Computational Fluid Dynamics

Modern server farms consist of a large number of heterogeneous, energy-efficient, and very high-performance computing nodes connected with each other through a high-bandwidth network interconnect. Such systems pose one of the biggest challenges for engineers and scientists today: how to solve complex, real-world problems by efficiently using the enormous computational horsepower available from...
Автор: Последнее обновление: 15.10.2019 - 15:30
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Автор: David M. Последнее обновление: 15.10.2019 - 15:30
Article

Improve Performance Using Vectorization and Intel® Xeon® Scalable Processors

Introduction
Автор: Alberto V. (Intel) Последнее обновление: 15.10.2019 - 15:30
Видео

Vectorization: The “Other” Parallelism You Need

We will describe, with C and Fortran examples, new opportunities for performance-enhancing vectorization provided by the Intel® AVX-512 instruction set on the processor code named Knights Landing.

Автор: админ Последнее обновление: 15.10.2019 - 16:10
Блоги

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).

Автор: Sharmila C. (Intel) Последнее обновление: 15.10.2019 - 18:16
Блоги

How Intel® AVX Improves Performance on Server Applications

The latest Intel® Xeon® processor E7 v2 family includes a feature called Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.

Автор: Thai Le (Intel) Последнее обновление: 15.10.2019 - 18:23