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Forum topic

Getting install error

After downloading IntelMultiOSEngine_1.0.285, I ran into the following error after starting the install:

Could not access network location L:Android\sdk1

Écrit par Robert U. Dernière mise à jour le 04/09/2015 - 12:58
Forum topic

Studio XE Composer Edition 2015 breaks C# debugging in VS 2015

Hello,

Écrit par Luc S. Dernière mise à jour le 04/09/2015 - 12:54
Forum topic

calls to pardiso from a DLL crash

I am a new user of MKL, and I'm using pardiso to factor a real nonsymmetric matrix.  I've successfully run the sample program for this case, and I'm trying to do exactly the same thing, except my c

Écrit par Brian Murphy Dernière mise à jour le 04/09/2015 - 13:06
Video

Episode 5.5 - Optimization of Vectorization: Regularizing Pattern

In this episode we will look at a practical example of data alignment, and how you can improve performance of vector calculations by aligning and padding your arrays in the context of programming t

Écrit par admin Dernière mise à jour le 04/09/2015 - 13:07
Video

Intel® Big Data & Analytics Software Overview

This video animation provides an overview of Intel Software contributions to Big Data & Analytics.

Écrit par Fadi Z. (Intel) Dernière mise à jour le 04/09/2015 - 13:09
Video

Episode 5.6 - Strip-Mining for Vectorization

As the last topic on optimization of vector calculations, we will discuss a programming technique that allows you to express vectorization opportunities to the compiler in complex situations.

Écrit par admin Dernière mise à jour le 04/09/2015 - 13:10
Article

Intel Keynote and Intel technical presentations at Spark Summit West 2015

To find new trends and strong patterns from large complex data sets, a strong analytics foundation is needed. Intel is working closely with Databricks, AMPLab, Spark community and its ecosystem to advance these analytics capabilities…
Écrit par Mike Pearce (Intel) Dernière mise à jour le 04/09/2015 - 13:10
Article

A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
Écrit par Zhang Z. (Intel) Dernière mise à jour le 04/09/2015 - 13:11
Video

Episode 5.7 - Vectorization Tuning Knobs

Let's review some of the "tuning knobs" for vectorization. Some of them we discussed in this course, others are discussed in more detail in our book (xeonphi.com/book).

Écrit par admin Dernière mise à jour le 04/09/2015 - 13:12
Article

A Tutorial on the Java API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.
Écrit par Zhang Z. (Intel) Dernière mise à jour le 04/09/2015 - 13:13
Pour de plus amples informations sur les optimisations de compilation, consultez notre Avertissement concernant les optimisations.