Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that require maximum performance.
I am pleased to announce the release of the Intel® Collaboration Suite for WebRTC Version 3.3. The release and user documentation are freely available to download from the Intel® Developer Zone site at http://webrtc.intel.com
The following list highlights some of the features in this release (refer to the Release Notes for the full feature list and details):
Intel® Protected File System Library
We are glad to announce the availability of Intel® SDK for OpenCL™ Applications 2016 R3. Please visit http://software.intel.com/intel-opencl to download the latest version. This update adds support for new OSes and platforms, more performance analysis features and various SDK improvements.
A Jupyter Notebook based tutorial series of using pyDAAL (the Python API for Intel DAAL) is now available on Github:
It is designed for new users to quickly ramp up understanding of the pyDAAL API and usage model. There are only a few examples at this time, but we will gradually grow to cover more DAAL algorithms. You are more than welcome to use, share, fork, and contribute.
Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) is now available on the Github (https://github.com/01org/mkl-dnn) as 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.
The Intel® Data Analytics Acceleration Library (Intel® DAAL) is designed to help software developers reduce the time it takes to develop their applications and provide them with improved performance. Intel DAAL helps applications make better predictions faster and analyze larger data sets with the available compute resources at hand. The library is updated to take advantage of next generation processors even before they're available.
What's New in Intel® DAAL 2017 Update 1