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You are here: Home / Featured news / PathScale Supports OpenMP4 and OpenACC On NVIDIA, AMD, ARMv8, Plus Some CUDA

PathScale Supports OpenMP4 and OpenACC On NVIDIA, AMD, ARMv8, Plus Some CUDA

June 4, 2015 by Rob Farber Leave a Comment

PathScale is capitalizing on over six years of development with the release of ENZO 2015, a compiler suite that allows C/C++/Fortran parallel programs to be built for a variety of hardware platforms from a single OpenACC or OpenMP4 source base. The PathScale compilers can generate executables for AMD GPUs, and NVIDIA GPUs as well as ARMv8 and x86 instruction sets. As a result, PathScale is one of the first vendors to actively support a broad base of parallel hardware architectures. It is expected that Intel Xeon Phi support will be forthcoming in the near future.

The benefits of support for both OpenACC and OpenMP 4.0 standards within the ENZO 2015 compiler suite are readily apparent as a single source base can be paralleled and performance tested on a variety of parallel hardware platforms. With ENZO 2015, PathScale appears to be shrewdly positioning itself as the commercial vendor of choice who can deliver the goods for both OpenMP and OpenACC on all popular platforms. This opinion is reinforced by PathScale’s free trial that encourages potential customers to compile and test their application performance on their own hardware.

ENZO 2015 Highlights

  • OpenACC 2.0
  • OpenMP 4.0
  • Supports AMD FirePro & NVIDIA Tesla
  • Support for latest Intel haswell

Alpha level support:

  • Alpha level C++AMP
  • Partial CUDA compatibility

PathScale_complete1-fs8

To stay current with the rapid maturation of both OpenMP 4.0 and OpenACC, PathScale recently joined the OpenACC standards body. Their influence and early access to the standard will allow them to be one of the first, if not the first, vendors to implement new OpenACC features.  In addition, it’s rumored PathScale may also be joining the OpenMP and C++ standards in order to help facilitate improvements in those respective standards.

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Filed Under: Featured news, News, News, openacc Tagged With: openacc, OpenMP

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