The Parallel Universe
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Issue 24

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Welcome to The Parallel
Universe
magazine.

In this issue, learn how to increase efficiency and save time.

COVER STORY

FEATURE: Improve Productivity and Boost C++ Performance

The new Intel® SIMD Data Layout Template library optimizes C++ code and helps improve SIMD efficiency.

FEATURE: 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 due to big-endian software dependencies and migrate applications to little-endian architectures.

ALSO IN THIS ISSUE

OpenMP* API Version 4.5: A Standard Evolves

The OpenMP* API specification is a well-known and widely used standard for multithreading on shared-memory systems. 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 should get more attention. This article helps shed some light on the benefits and challenges of using MPI with Apache Hadoop*.

Finding Your Memory Access Performance Bottlenecks

Intel® VTune™ Amplifier XE is a performance profiler with many features for analyzing memory accesses. 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 optimize performance with Intel® Integrated Performance Primitives―achieving a 100 percent performance improvement on the Intel® architecture-based platform.

Develop Smarter Using the Latest IoT and Embedded Technology

Intel® System Studio and Intel® System Studio for Microcontrollers each offer a set of 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

Intel® VTune™ Amplifier XE and Intel® Trace Analyzer and Collector are suited for tuning MPI + OpenMP* applications. This article provides a step-by-step workflow for hybrid application analysis and tuning.

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©2016, Intel Corporation. All rights reserved. Intel, the Intel logo, and VTune are trademarks of Intel Corporation in the U.S. and/or other countries.
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