Vectorización

Intel® Math Kernel Library (Intel® MKL) 11.3 Beta and Intel® Parallel Studio XE 2016 Beta

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. Intel(R) Math Kernel Library ( Intel(R) MKL ) version 11.3 Beta is now available, as part of the Intel® Parallel Studio XE 2016 Beta program. 

The Intel® Parallel Studio XE 2016 Beta program is now available!

Intel Parallel Studio XE 2016 is being made available now as part of a beta test program. In this beta test, you will have early access to Intel® Parallel Studio XE 2016 products and the opportunity to provide feedback to help make our products better. Registration is easy through the pre-Beta survey site

This suite of products brings together exciting new technologies along with improvements to Intel’s existing software development tools:

Intel® IPP 9.0 Beta is available

Intel® IPP 9.0 Beta is now available.  The release added the new Intel® AVX-512 optimization for the computer vision and image processing functions, extended optimization for Intel® Atom™ and Intel® Quark™ processors, added the new APIs to support external threading, and provided the custom dynamic library building tool, which enables users to build the dynamic library containing the selected Intel® IPP functions.
 

Announcing the Intel® Parallel Studio XE 2016 Beta!

You may have received an email inviting you to the Intel® Parallel Studio XE 2016 Beta.  VTune Amplifier XE 2016 beta is part of the studio and adds OpenMP* parallelization inefficiency, imbalance and work sharing analysis to tune for more efficient use of parallel regions. It also now supports multi-rank analysis of MPI* compute nodes with or without OpenMP use.  Various ease-of-use enhancements include confidence indicators in General Exploration analysis results, "super tiny" bird's-eye view timeline, and "Platform" tab replacing "Tasks and Frames" tab.

Free webinar April 7 2015 9am PST "Further Vectorization Features of the Intel Compiler"

There is a free webinar “Further Vectorization Features of the Intel Compiler” coming next Tuesday talking specifically about getting more vectorizations from Intel Compilers. But you would benefit it more if you've watched/listened to the previous webinar Performance essentials using OpenMP* 4.0 vectorization with C/C++.

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

 

 

 

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

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