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
Écrit par Igor F. (Intel) Dernière mise à jour le 27/07/2016 - 07:38

Meshcentral - Introduction & Overview

Écrit par Ylian S. (Intel) Dernière mise à jour le 27/07/2016 - 06:48

Accelerating Media Processing: Which Tool Do I Use?

Intel has a multitude of awesome software development tools, including ones for optimizing media, video and gra

Écrit par Brenda C. (Intel) Dernière mise à jour le 21/07/2016 - 10:02

Half the footprint, twice the speed: Accelerating performance for server-side PHP 7

Close collaboration between Intel and the PHP community enables new hardware features that improve processing efficiency, increase execution speed, and optimize core software of interpreted lan

Écrit par Administrateur Dernière mise à jour le 20/07/2016 - 16:11

2016 Release: What's New in Intel® Media Server Studio

Achieve Real-Time 4K HEVC Encode, Ensure AVC & MPEG-2 Decode Robustness
Écrit par Surbhi M. (Intel) Dernière mise à jour le 19/07/2016 - 13:56

Combining Linux* Message Passing and Threading in High Performance Computing

An article addressing thread and task parallelism. This article can be used to optimize framework methodology. Written by Andrew Binstock--Principal Analyst at Pacific Data Works LLC and lead author of "Practical Algorithms for Programmers."
Écrit par binstock Dernière mise à jour le 15/07/2016 - 17:07

Classical Molecular Dynamics Simulations with LAMMPS Optimized for Knights Landing

LAMMPS is an open-source software package that simulates classical molecular dynamics. As it supports many energy models and simulation options, its versatility has made it a popular choice. It was first developed at Sandia National Laboratories to use large-scale parallel computation.
Écrit par WILLIAM B. (Intel) Dernière mise à jour le 15/07/2016 - 16:59

Open Manageability Developer Tool Kit

Note: We are now developing MeshCommander, a web based software for Intel® AMT with the goal of being

Écrit par Ylian S. (Intel) Dernière mise à jour le 15/07/2016 - 14:38

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Écrit par Gennady Fedorov (Intel) Dernière mise à jour le 15/07/2016 - 02:47

openCertiface e IoT com Intel® Edison


Écrit par Alessandro de Oliveira Faria Dernière mise à jour le 14/07/2016 - 13:48
Pour de plus amples informations sur les optimisations de compilation, consultez notre Avertissement concernant les optimisations.