A Runtime Generated FFT for Intel® Processor Graphics

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作者: Dan Petre (Intel) 最后更新时间: 2019/07/06 - 20:30

Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
作者: Alberto V. (Intel) 最后更新时间: 2019/07/08 - 19:26

Improving Performance of Math Functions with Intel® Math Kernel Library

作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/07 - 10:49

Code Sample: Intel® AVX512-Deep Learning Boost: Intrinsic Functions

How developers can use to take advantage of the new Intel® AVX512-Deep Learning Boost (Intel® AVX512-DL Boost) instructions.
作者: Alberto V. (Intel) 最后更新时间: 2019/04/02 - 10:04

Use GNU* Debugger (GDB*) to Investigate Segmentation Fault (SIGSEGV)

作者: Lin, Joel (Intel) 最后更新时间: 2019/08/21 - 15:39

Intel® Data Analytics Acceleration Library (Intel® DAAL): how to add user-defined algorithm

The article discusses the ways for enabling a new analytical algorithm in Intel® DAAL
作者: Andrey N. (Intel) 最后更新时间: 2019/08/27 - 13:50

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
作者: 最后更新时间: 2019/10/15 - 15:30

MRAA and UPM Basics in Arduino Create*

MRAA ( – pronounced ‘em rah’ is the hardware abstraction layer in Arduino Create* for Linux* based platforms. It is an open source project, and it supports multiple boards and programming languages. Using MRAA allows you to initialize and work with pins on a board with an easy-to-understand API.
作者: Joseph B. (Intel) 最后更新时间: 2019/11/22 - 11:40

Code Sample: Doorbell

This smart doorbell application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit and a compatible Intel® IoT Platform, cloud platforms, APIs, and other technologies.
作者: 管理 最后更新时间: 2019/11/22 - 11:40