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BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
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  • Artificial Intelligence
  • Python*
  • Big Data
  • Docker* 容器中大数据工作负载的裸机性能

    BlueData® 和英特尔® 密切协作,史无前例地推出了一套面向大数据工作负载的性能指标。分别在裸机环境中和基于容器的环境(使用 BlueData EPIC™ 软件平台)中对这些工作负载进行性能指标评测。两种测试环境的工作负载在基于英特尔® 至强® 的架构上运行同等配置。

    这篇深入研究显示,BlueData EPIC 平台上的基于容器的  Apache Hadoop* 工作负载在性能上与裸机 Hadoop 不相上下,在某些情况下会更高。例如,性能指标评测显示,与裸机相比,BlueData EPIC 平台的性能平均提升了 2.33%,该平台配置了 50 个 Hadoop 计算节点和 10 TB 数据。

    上述结果表明,您可以利用 BlueData 所具有的敏捷性、灵活性和低成本等优势,同时在 Docker* 容器中运行大数据工作负载,还可以进一步提升裸机环境中的性能。

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  • Big Data
  • Intel® Parallel Studio XE 2017 Update 4 Readme

    Intel® Parallel Studio XE 2017 Update 4 for Linux*, Windows*, and macOS*

    Deliver top application performance and reliability with the Intel® Parallel Studio XE 2017 Update 4. This software development suite combines Intel's C/C++ compiler and Fortran compiler; performance and parallel libraries; error checking, code robustness, and performance profiling tools into a single suite offering.

    Key Features

  • Apple iOS*
  • Apple macOS*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Cluster Edition
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Parallel Studio XE 2017 Update 3 Readme

    Deliver top application performance and reliability with Intel® Parallel Studio XE 2017. This C++ and Fortran software development suite simplifies the design, build, debug, and tune of applications that take advantage of scalable MPI, thread and vector parallel processing to boost application performance.
  • Linux*
  • C/C++
  • Fortran
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Cluster Edition
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
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