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Visual Studio 2010 Built-in CPU Acceleration

Writing the sample code for this post I was amazed myself to see how simple it was to reach over 20 times performance improvement with so little effort.   

Authored by Last updated on 12/12/2018 - 18:00
Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30
Article

Accelerating Financial Applications on Intel® architecture

Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.
Authored by George Raskulinec (Intel) Last updated on 07/06/2019 - 16:40
Article

What is Code Modernization?

Modern high performance computers are built with a combination of resources including:

Authored by Mike P. (Intel) Last updated on 07/06/2019 - 16:30
Article

基于英特尔® 架构加速金融应用

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Authored by George Raskulinec (Intel) Last updated on 07/06/2019 - 16:40
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
Authored by Last updated on 12/12/2018 - 18:00
Article

Get a Helping Hand from the Vectorization Advisor

Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Authored by Last updated on 07/06/2019 - 16:40
Blog post

Three Pieces of Advice for Code Modernization Success

What three code modernization techniques would I suggest to help a programmer improve the execution performance of her code? With too many specific things to choose from, these are three recommendations for any programmer anywhere and anytime.
Authored by Clay B. (Blackbelt) Last updated on 12/12/2018 - 18:08
Article

Palestra: Como otimizar seu código sem ser um "ninja" em Computação Paralela

Não perca a palestra "Como otimizar seu código sem ser um "ninja" em Computação Paralela" da Intel que será ministrada durante a Semana sobre Programação Massivamente Paralela em Petrópolis, RJ, no Laboratório Nacional de Computação Científica. Data: 02/02/2016 - 11h30 Local: LNCC - Av. Getúlio Vargas, 333 - Quitandinha - Petrópolis/RJ
Authored by Igor F. (Intel) Last updated on 07/06/2019 - 16:40
Article

Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Authored by David M. Last updated on 07/06/2019 - 16:40