• 07/14/2017
  • Public Content
Contents

Math Kernel Library for Deep Neural Networks

Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel® architecture. Intel® MKL-DNN includes highly vectorized and threaded building blocks to implement convolutional neural networks (CNN) with C and C++ interfaces.
For more information and documentation on Intel® Math Kernel Library see https://01.org/mkl-dnn/. The sources can be downloaded from https://github.com/01org/mkl-dnn.
Examples
Ref-OS-IoT has support for Intel® MKL-DNN pre-integrated, including pre-compiled versions of some of the examples.(https://github.com/01org/mkl-dnn/tree/master/examples).
These examples can easily be compiled and run directly in Ref-OS-IoT using the following commands (names between <> should be replaced by actual name):
For C examples
gcc -Wall <example>.c -lmkldnn -o <cexample> ./<cexample>
For C++ examples
g++ -std=c++11 <example>.cpp -lmkldnn -o <cppexample> ./<cppexample>
 

Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.