矢量化

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

Intel® Xeon Phi™ Coprocessor code named “Knights Landing” - Application Readiness

As part of the application readiness efforts for future Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors (code named Knights Landing), developers are interested in improving two key aspects of their workloads:

  1. Vectorization/code generation
  2. Thread parallelism

This article mainly talks about vectorization/code generation and lists some helpful tools and resources for thread parallelism.

  • 开发人员
  • 服务器
  • 中级
  • 英特尔® C++ 编译器
  • Intel® AVX-512
  • Knights Landing
  • Intel SDE
  • Intel® IMCI
  • Intel® Many Integrated Core Architecture
  • 并行计算
  • 矢量化
  • Intel(r) Parallel Studio XE 2015 Professional Edition

    The latest release of Intel(r) Parallel Studio is now available.

    If you have an active support license for Intel Parallel Studio, the Intel® Parallel Studio XE 2015 products are now available for download from the Intel® Registration Center.

    New features for Intel® Inspector XE 2015:

    Intel® MKL Cookbook Recipes

    Intel MKL Users,

    We would like to Introduce a new feature Intel® MKL Cookbook, an online Document with recipes for assembling Intel MKL routines for solving complex problems.Please give us your valuable feedback on these Cookbook recipes, and let us know if you want us to include more recipes and/or improve existing recipes.

    Thank you for Evaluating

    Intel MKL Team

    Forum poll: Intel MKL and threading

    Intel MKL users,

    We would like to hear from you how you are using Intel MKL with threading. Do you use the parallel or sequential MKL? How do your multithreaded applications use MKL? We would appreciate you to complete a short survey. It takes no more than 5 minutes. Your feedback will help us to make Intel MKL a better product. Thanks!

    Survey link: https://idz.qualtrics.com/SE/?SID=SV_5Bmh232m96WJK3b

     

    Troubleshooting HOWTO: Bad hardware? MPSS? Configuration?

    Are you having problems with your hardware (Cannot see your Intel(R) Xeon Phi(tm) coprocessor?  Sporadic accessibility?) or with the Intel(R) Manycore Platform Software Stack (Intel(R) MPSS) running reliably?

    Attached to this post are PDF "flowcharts" that explain how you can troubleshoot the problem (note:  Both Linux and Windows flowcharts are available), and shows what information you will want to collect if you need to escalate your issue to your OEM provider or Intel.

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