Intermediate

Intel® RealSense™. Работа с потоками необработанных данных

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1. Введение

Разработчикам, которые интересуются возможностями, доступными при внедрении управления без помощи контроллеров в своих приложениях, достаточно ознакомиться с Intel RealSense SDK, сопутствующими примерами и ресурсами в Интернете. Если вы «погрузитесь» в это решение, то обнаружите широкий набор функций, позволяющих создавать совершенно новые, великолепные интерфейсы с использованием новых технологий.

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    SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
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  • Analyzing Media Workloads Using Intel® Integrated Native Developer Experience (Intel® INDE)

    Verify that your media workload takes full advantage of Intel architecture with the System Analyzer tool included in Intel's Integrated Native Developer Experience (INDE). This tutorial walks through the use of the INDE System Analyzer in a Windows Environment.
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  • Abaqus/Standard Performance Case Study on Intel® Xeon® E5-2600 v3 Product Family

    Background

    The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.

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  • Doctor Fortran in "The Future of Fortran"

    In November 2014, I led a session at SC14 (the event formerly known as “Supercomputing”) titled “The Future of Fortran”. I invited representatives from other vendors and members of the Fortran standards committee to participate, and had some accept, but when it came time for the session, I was up there alone. Oh well…

    Optimizing Image resizing example of Intel(R) Integrated Performance Primitives (IPP) with Intel(R) Threading Building Blocks and Intel(R) C++ Compiler

    < Overview >

     In this article, we are enabling and using Intel(R) Integrated Performance Primitives(IPP), Intel(R) Threading Building Blocks(TBB) and Intel(R) C++ Compiler(ICC) on Linux ( Ubuntu 14.04 LTS 64bit ). We will build and run one of the examples that comes with IPP and apply TBB and ICC on the example to observe the performance improvement of using Intel(R) System Studio features.

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    Introduction

    New Intel processors introduce enhanced instruction set extensions to improve performance or strengthen security of an application.  Instruction set extensions like Intel AVX1 and AVX21 are used to improve performance and Intel SHA2 instructions are used for SHA acceleration to increase security of an application.

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  • 使用英特尔® 软件开发仿真器的优势

    简介

    全新的英特尔处理器引入了增强型扩展指令集,以此提升应用的性能或增强其安全性。  英特尔 AVX1 和 AVX21 等扩展指令集主要用于提升性能,而英特尔 SHA2 指令则用于 SHA 加速,从而增强应用的安全性。

    如果开发人员希望用这些新指令创建应用,但目前的硬件不支持这些指令该怎么办?  公司如何证明购买新系统来支持新指令的价值,同时确保其应用能够充分利用这些新指令来提升性能?

    英特尔® 软件开发仿真器可用于在不支持新指令的系统上执行包含这些指令的应用。

    本文将探讨使用 SDE 测试使用新指令的代码所带来的优势。

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