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intel processor graphics

Translation of "intel processor graphics" in Chinese

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英特尔处理器显卡
英特尔 处理器图形
Intel Processor Graphics provides a good solution to accelerate deep learning workloads.
英特尔处理器显卡为加速深度学习工作负载提供了一个很好的解决方案。
Software developers, platform architects, data scientists, and academics seeking to maximize deep learning performance on Intel Processor Graphics.
旨在通过英特尔 处理器显卡最大限度地提高深度学习性能的软件开发人员、平台架构师、数据科学家和学术人员。
For more information on the performance on Intel Processor Graphics see this article
更多关于英特尔 处理器显卡的性能信息,请参阅本文
To enable modern topologies in an efficient way on Intel Processor Graphics, a focus on convolution implementation is needed.
为了在英特尔处理器显卡上有效地支持现代拓扑结构,需要重点完成卷积实施。
Identify Intel processor graphics parts by name and processor number.
查找英特尔处理器显卡部件 (按名称和处理器编号 ) 。
Older graphics hardware is no longer supported, and the newer documents tend to provide the best picture of software development for Intel processor graphics.
旧版显卡硬件不再受到支持,较新的文档往往可提供英特尔处理器显卡的最佳软件开发图片。
In the table, you'll find the right documents to help you write and tune your software so it runs great on Intel processor graphics.
在本表中,您将找到合适的文档帮助您编写和调整软件,确保它可在英特尔处理器显卡上高效运行。
For more info about game development on Intel processor graphics, visit the Intel game development community.
有关英特尔处理器显卡游戏开发的更多信息,请访问 英特尔 游戏开发社区 。
Introduction This document provides development hints and tips to ensure that your customers will have a great experience playing your games and running other interactive 3D graphics applications on Intel Processor Graphics.
简介 本文描述了主要的开发提示与技巧,旨在确保您的游戏和其它交互式 3D 图形应用能够通过英特尔处理器显卡为客户带来出色的使用体验。
Intel Quick Sync Video technology is based on the dedicated media capabilities of Intel Processor Graphics to improve the performance and power efficiency of media applications, specifically speeding up functions like decode, encode and video processing.
英特尔 快速视频同步技术基于英特尔处理器显卡的专用媒体功能,可提高媒体应用的性能和能效,特别是能够加速解码、编码和视频处理等功能。
Nevertheless, the primary goal of this tutorial is not the optimization of this specific sample application, but the potential performance gains you can find by following the recommendations in Developer's Guide for Intel Processor Graphics and the usefulness of Intel GPA in finding and measuring those improvements.
尽管如此,本教程的目的不是优化某个特定示例应用,但如果采纳面向英特尔处理器显卡的开发人员指南,大家可以实现潜在的性能提升,而且还可以使用英特尔 GPA 查看并测量这些性能提升。
Intel Processor Graphics as part of Intel's SOCs have already shipped in more than a billion devices ranging from servers to PCs to embedded devices.
作为英特尔系统芯片的一部分,英特尔处理器显卡已发运至超过 10 亿台设备,包括服务器、PC 和嵌入式设备。
This paper introduces Intel Software Development Tools recently made available to accelerate deep learning inference in edge devices (such as smart cameras, robotics, autonomous vehicles, etc.) incorporating Intel Processor Graphics solutions across the spectrum of Intel SOCs.
本文将介绍近期发布的英特尔 软件开发工具,它跨各种英特尔系统芯片集成了英特尔 处理器显卡解决方案,可加速边缘设备(比如智能摄像头、机器人、自动驾驶汽车等)中的深度学习推理过程。
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