Blog post

Big Datasets from Small Experiments

Authored by Andrey Vladimirov Last updated on 07/04/2019 - 18:46
Article

Enabling Intel® MKL in PETSc applications

 
Authored by Gennady F. (Blackbelt) Last updated on 05/24/2018 - 15:48
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 07/31/2019 - 12:11
Article

Deliver the Value of Analytics & AI at Scale with Intel®-optimized Open Source Software

Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
Authored by Ziya M. (Intel) Last updated on 07/23/2019 - 11:34
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 09/30/2019 - 17:28
Article

Demo: Software Defined Visualization Using Intel® Xeon Phi™ Processor

In this demo we are showcasing the use of Intel® Xeon Phi™ processor, to do a 3D visualization of tumor in a human brain.

Authored by Beenish Zia (Intel) Last updated on 10/15/2019 - 15:30
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 10/15/2019 - 15:30
Article

Usage Models for Cache Allocation Technology in the Intel® Xeon® Processor E5 v4 Family

A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.
Authored by Nguyen, Khang T (Intel) Last updated on 10/15/2019 - 16:31