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Seeing One TeraFlop/sec, the software side, and feeling a bit emotional

I've known this day was coming - but when I saw Knights Corner clearly sustaining a TeraFlop (DGEMM, wide range of block sizes) per second - I was surprised by my emotional reaction inside.

Authored by James R. (Blackbelt) Last updated on 03/21/2019 - 12:08
Blog post

How We Used Intel® MPI Library to Get Outstanding LINPACK Results on a Very Large System

Large clusters dominate the semi-annual list of the 500 fastest supercomputers in the world.

Authored by Last updated on 07/06/2019 - 17:00
Article

Intel® Software Development Emulator Download

Download page for the latest Intel® Software Development Emulator
Authored by Ady Tal (Intel) Last updated on 07/03/2019 - 20:00
Article

Intel® IPP - Threading / OpenMP* FAQ

This page contains common questions and answers on multi-threading in the Intel IPP.
Authored by Last updated on 07/31/2019 - 14:30
Article

Calling Intel® IPP in VS *(Microsoft Visual Studio *)

Calling Intel IPP in Microsoft Visual Studio ( In this article, we used VS 2013 )
Authored by admin Last updated on 07/31/2019 - 14:30
Article

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Authored by Last updated on 07/31/2019 - 14:23
Article

Intel® Software Tools give SAS* 9.2 a 2.68x performance boost on Intel® Xeon® processor 5500 series-based servers

Business analytics have become a fundamental asset for leading enterprises, turning mountains of data from diverse sources into actionable information that drives sound business decisions.
Authored by aaron-tersteeg (Intel) Last updated on 03/21/2019 - 12:40
Article

Optimization of Image Processing Algorithms: A Case Study

High quality image and video processing has become an important part in many professional and consumer applications. This article shares insights and methods gained during a shared work by HP* Labs and Intel on optimizing several imaging algorithms.
Authored by Last updated on 03/28/2019 - 11:56
Article

Loop Modifications to Enhance Data-Parallel Performance

When confronted with nested loops, the granularity of the computations that are assigned to threads will directly affect performance. Loop transformations such as splitting and merging nested loops can make parallelization easier and more productive.
Authored by admin Last updated on 07/05/2019 - 14:47