Parallel Universe Magazine - Issue 24, March 2016

  • Archivo:parallel-universe-issue-24.pdf
  • Tamaño:20.44 MB



  • Letter from the Editor, James Reinders
    Time-Saving Tips as Spring Begins in the Northern Hemisphere
  • Improve Productivity and Boost C++ Performance
    The new Intel® SIMD Data Layout Template library optimizes C++ code and helps improve SIMD efficiency.
  • Intel® C++ Compiler Standard Edition for Embedded Systems with Bi-Endian Technology
    Intel® C++ Compiler Standard Edition for Embedded Systems with Bi-Endian Technology helps developers looking to overcome platform lock-in.
  • OpenMP* API Version 4.5: A Standard Evolves
    OpenMP* version 4.5 is the next step in the standard’s evolution, introducing new concepts for parallel programming as well as additional features for offload programming.
  • Intel® MPI Library: Supporting the Hadoop* Ecosystem
    With data analytics breaking into the HPC world, the question of using MPI and big data frameworks in the same ecosystem is getting more attention.
  • Finding Your Memory Access Performance Bottlenecks
    The new Intel® VTune™ Amplifier XE Memory Access analysis feature shows how some tough memory problems can be resolved.
  • Optimizing Image Identification with Intel® Integrated Performance Primitives
    Intel worked closely with engineers at China’s largest and most-used Internet service portal to help them achieve a 100 percent performance improvement on the Intel® architecture-based platform.
  • Develop Smarter Using the Latest IoT and Embedded Technology
    A closer look at tools for coding, analysis, and debugging with all Intel® microcontrollers, Internet of Things (IoT) devices, and embedded platforms.
  • Tuning Hybrid Applications with Intel® Cluster Tools
    This article provides a step-by-step workflow for hybrid application analysis and tuning.
  • Vectorize Your Code Using Intel® Advisor XE 2016
    Vectorization Advisor boasts new features that can assist with vectorization on the next generation of Intel® Xeon Phi™ processors.

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