Parallel Universe Magazine - Issue 24, March 2016

Details

Contents:

• 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.