• Home
  • News
  • Tutorials
  • Analysis
  • About
  • Contact

TechEnablement

Education, Planning, Analysis, Code

  • CUDA
    • News
    • Tutorials
    • CUDA Study Guide
  • OpenACC
    • News
    • Tutorials
    • OpenACC Study Guide
  • Xeon Phi
    • News
    • Tutorials
    • Intel Xeon Phi Study Guide
  • OpenCL
    • News
    • Tutorials
    • OpenCL Study Guide
  • Web/Cloud
    • News
    • Tutorials
You are here: Home / Featured tutorial / Pragmatic Parallelism Part 1: Introducing OpenACC 1.0

Pragmatic Parallelism Part 1: Introducing OpenACC 1.0

April 15, 2014 by Rob Farber Leave a Comment

OpenACC lets you program in parallel C/C++ and Fortran in a manner that is concise and where the same source code can be recompiled to run on AMD GPUs, NVIDIA GPUs, Intel Xeon Phi, x86, and ARM.

View at Dr. Dobbs (http://www.drdobbs.com/parallel/easy-gpu-parallelism-with-openacc/240001776)

This is the first in a series of articles by Rob Farber on OpenACC directives, which enable existing C/C++ and Fortran code to run with high performance on massively parallel devices such as GPUs. The magic in OpenACC lies in how it extends the familiar face of OpenMP pragma programming to encompass coprocessors. As a result, OpenACC opens the door to scalable, massively parallel GPU — accelerating millions of lines of legacy application code without requiring a new language or fork application source tree to support multiple languages

 

Share this:

  • Twitter

Filed Under: Featured tutorial, openacc, Tutorials, Tutorials Tagged With: ARM, GPU, Intel Xeon Phi, openacc, x86

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Tell us you were here

Recent Posts

Farewell to a Familiar HPC Friend

May 27, 2020 By Rob Farber Leave a Comment

TechEnablement Blog Sunset or Sunrise?

February 12, 2020 By admin Leave a Comment

The cornerstone is laid – NVIDIA acquires ARM

September 13, 2020 By Rob Farber Leave a Comment

Third-Party Use Cases Illustrate the Success of CPU-based Visualization

April 14, 2018 By admin Leave a Comment

More Tutorials

Learn how to program IBM’s ‘Deep-Learning’ SyNAPSE chip

February 5, 2016 By Rob Farber Leave a Comment

Free Intermediate-Level Deep-Learning Course by Google

January 27, 2016 By Rob Farber Leave a Comment

Intel tutorial shows how to view OpenCL assembly code

January 25, 2016 By Rob Farber Leave a Comment

More Posts from this Category

Top Posts & Pages

  • Fine-Tuning Vectorization and Memory Traffic on Intel Xeon Phi Coprocessors
  • Intel Xeon Phi Study Guide
  • PyFR - Python/GPU Combustion Code Shortlisted for Several HPCWire Readers Choice Awards
  • Learn how to program IBM's 'Deep-Learning' SyNAPSE chip
  • OpenACC Adoption Continues to Gain Momentum in 2016

Archives

© 2026 · techenablement.com