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

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® Parallel Studio XE 2016 Beta program has started!

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

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® 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. 

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.

Introduzione allo sviluppo di applicazioni mobile cross-platform

Lo sapevi che si possono sviluppare applicazioni mobile cross-platform di elevata qualità utilizzando solo HTML, CSS e JavaScript ? Ok, domanda banale, molti oramai lo sanno ma tantissimi developers non ne sono ancora al corrente o, sono ancora scettici o comunque non ancora del tutto convinti riguardo l’uso di queste tecnologie in ambito mobile; proprio per quest’ultimo motivo ho deciso di scrivere una serie di blog posts ed alcuni articoli tecnici che verranno linkati man mano in calce a questo blog post per, mostrarti come con l’uso delle tue skills in ambito web e, con l’IDE Intel XDK si possano sviluppare applicazioni mobile di elevata qualità in maniera veloce ed infine estremamente efficiente.

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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