Vektorisierung

Reinstatement of Intel® IPP in-place functions

 

Some of the users are using the old Intel® IPP releases, and may notice the deprecation warnings on the in-place functions.

After reviewing the feedback from the users, we decided to keep these in-place functions in the Intel® IPP releases.

The deprecation warning was removed since Intel® IPP 8.1 release.  These functions continues to be supported.

Check here to find the new features in Intel® IPP 8.2, and your feedback is welcome on the product. 

New tool available in beta: Vectorization Advisor

Software must be both threaded and vectorized to get the full performance benefit from today’s and tomorrow’s hardware.  Vectorization Advisor is a vectorization analysis tool that lets you identify loops that will benefit most from vectorization, identify what is blocking effective vectorization, explore the benefit of alternative data reorganizations, and increase the confidence that vectorization is safe.  

Vectorization Advisor is now available for beta test as a part of Intel® Advisor XE 2016. 

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.
 

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.

 

 

 

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