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Introduction to Conditional Numerical Reproducibility (CNR)

Starting with 11.0 release,  Intel® MKL introduces a feature called Conditional Numerical Reproducibility (CNR) which provides functions for obtaining reproducible floating-point results when calli

作者: TODD R. (Intel) 最后更新时间: 2019/03/21 - 02:55
博客

Android 游戏开发之 View 框架

MainActivity.java:

 

package com.soai.view;

作者: 最后更新时间: 2019/05/09 - 21:50
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EmbeddedWorld Signal Processing and Power Management Workshop

This is the conference paper describing Intel® System Studio in great detail in-lieu of the Signal Processing and Power Management Workshop.

作者: Noah Clemons (Blackbelt) 最后更新时间: 2017/10/11 - 11:28
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How to use XDB to do kernel debug on Yocto with Minnowboard MAX

Introduction
作者: Alice H. (Intel) 最后更新时间: 2018/01/02 - 16:08
博客

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

作者: Anton Malakhov (Intel) 最后更新时间: 2018/10/05 - 18:24
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Engineering Meets Art

The processing of millions or billions of pixels is taxing on the CPU and takes multiple seconds to finish
作者: Jason Powell (Intel) 最后更新时间: 2018/12/12 - 19:22
Article

Intel® Open Image Denoise Library Saves Time, Boosts Quality

Intel has created a complete solution with a high-performance, open-source filter for images rendered with ray tracing. And it is available in beta.
作者: Garret Romaine 最后更新时间: 2019/08/02 - 17:50
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英特尔® Open Image Denoise 库有助于节省时间,提高质量

英特尔创建了使用光线跟踪进行图像渲染的一整套解决方案,包含高性能开源滤波器。该解决方案已发布测试版。
作者: Garret Romaine 最后更新时间: 2019/08/02 - 17:50