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Intel(r) CCF 3.0.13 Release

March 20th, 2015

Intel® CCF 3.0.13

This release of Intel® Common Connectivity Framework SDK version 3.0 provides support for developing applications on Intel® CCF Version 3.0, and it includes the framework, tools, documentation and sample applications for creating applications on Windows*, Android*, and iOS*.

  • Développeurs
  • Android*
  • Apple iOS*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • .NET*
  • C#
  • C/C++
  • Java*
  • Avancé
  • Infrastructure de connectivité commune Intel®
  • Contrat de licence: 

    IOTree, un albero di natale intelligente, con Intel Edison

    Visto che vengo spesso accusato di essere poco coinvolto negli addobbi natalizi quest'anno ho deciso di partecipare attivamente all'allestimento dell'albero.

    Avendo appena ricevuto un Intel Edison non potevo non sfruttarlo per rendere l'albero piu' divertente ed intelligente.

    Edison

  • Développeurs
  • Étudiants
  • Arduino
  • Linux*
  • Internet des objets
  • JavaScript*
  • Intermédiaire
  • 介绍一种服务器缓存结构 --- 多级 Hash

           现在的服务器网络数据收发与存储没有不做缓存的。如果公司的重要数据存储在磁盘中,且数据接近静态但每天局有部更新而且也有大量访问,不做缓存不能发挥机器的高性能。

  • Développeurs
  • Développeurs Intel AppUp®
  • Étudiants
  • Linux*
  • Serveur
  • C/C++
  • Intermédiaire
  • Intel MPI® Library 5.0 Update 3 (Build 049) Readme

    The Intel® MPI Library is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v3.0 (MPI-3.0) specification. This package is for MPI users who develop on and build for Intel® 64 architectures on Linux*, as well as customers running on the Intel® Xeon Phi™ coprocessor on Linux*. You must have a valid license to download, install, and use this product.
  • Linux*
  • C/C++
  • Fortran
  • Bibliothèque Intel® MPI Library
  • Interface de transmission de messages
  • Informatique en cluster
  • Getting Started with Intel® Threading Building Blocks (Intel® TBB)

    Intel® Threading Building Blocks (Intel® TBB) is a runtime-based parallel programming model for C++ code that uses threads. It consists of a template-based runtime library to help you harness the latent performance of multicore processors. Use Intel TBB to write scalable applications that:

    • Specify logical parallel structure instead of threads
    • Emphasize data parallel programming
    • Take advantage of concurrent collections and parallel algorithms

    Intel TBB is available as a standalone product as well as part of the following products:

  • Développeurs
  • Intel® Parallel Studio XE
  • Outils de développement
  • Parallélisation
  • Download the latest Intel® AMT Software Development Kit (SDK)

    Thank you for your interest in the Intel® Active Management Technology (Intel® AMT) Software Development Kit. The Intel® AMT SDK (Software Development Kit) contains the building blocks and documentation material needed to develop software that interacts with Intel® AMT systems.

  • Développeurs
  • Client d’entreprise
  • Technologie d’administration active Intel®
  • SDK
  • vPro
  • AMT
  • Technologie Intel® vPro™
  • Contrat de licence: 

    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.
  • Développeurs
  • Professeurs
  • Étudiants
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Serveur
  • Windows*
  • C/C++
  • Avancé
  • Débutant
  • Intermédiaire
  • Bibliothèque Intel® Data Analytics Acceleration (Intel® DAAL)
  • Tutorials
  • Intel DAAL
  • Données massives
  • Optimisation
  • A Walk-Through of Distributed Processing Using Intel® DAAL

    Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support distributed data analytics based on variety of cluster platform including MPI* based cluster environments, Hadoop*/Spark* based cluster environments, low level data exchange protocols, etc.
  • Développeurs
  • Professeurs
  • Étudiants
  • Java*
  • Avancé
  • Débutant
  • Intermédiaire
  • Bibliothèque Intel® Data Analytics Acceleration (Intel® DAAL)
  • Intel DAAL
  • Données massives
  • Outils de développement
  • A Walk-Through of Online Processing Using Intel® DAAL

    Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is applicable when data is processed in blocks. This can be helpful if the entire dataset is too big to fit in memory all at once; or if the data is only available piecemeal.
  • Développeurs
  • C/C++
  • Java*
  • Avancé
  • Débutant
  • Intermédiaire
  • Bibliothèque Intel® Data Analytics Acceleration (Intel® DAAL)
  • Intel DAAL
  • Données massives
  • Outils de développement
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