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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

 

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

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