“OpenACC is gaining momentum and adoption,” said Duncan Poole, President of the OpenACC Standards Group. “Developers benefit because using OpenACC directives makes parallel programming more productive and collaboration easier. Large, legacy codes are easier to maintain and accelerated code is more portable across HPC systems.”
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In this slidecast, Doug Miles from Nvidia describes the new features and performance gains in the PGI 2014 release. “The use of accelerators in high performance computing is now mainstream,” said Douglas Miles, director of PGI Software at Nvidia. “With PGI 2014, we are taking another big step toward our goal of providing platform-independent, multi-core and accelerator programming tools that deliver outstanding performance on multiple platforms without the need for extensive, device-specific tuning.”
In this video from the Nvidia booth at SC13, Michael Wolfe presents on OpenACC. “The OpenACC API provides a high-level, performance portable programming mechanism for parallel programming accelerated nodes. Learn about the latest additions to the OpenACC specification, and see the PGI Accelerator compilers in action targeting the fastest NVIDIA GPUs.”
Open ACC version 2.0 is using enhanced data management capabilities in its quest to become the de facto standard for directive-based accelerators programming in C/C++ and Fortran.
Over at the Cray Blog, David Wallace looks at OpenACC, its programming benefits, and how it is evolving as an industry coalition. OpenACC allows HPC programmers to worry more about the problem they are trying to solve and less about the language and hardware they are using to solve the problem. By enabling parallelism via […]
Today Cray introduced new OpenACC 2.0 support for directives-based programming of accelerators and coprocessors in the company’s supercomputers. Leveraging years of successful production accelerator experience and supercomputing domain knowledge, the Cray OpenACC programming implementation now supports Nvidia Tesla GPU accelerators and Intel Xeon Phi coprocessors on the Cray XC30 series of supercomputers. Congratulations to Cray […]
Today The Portland Group announced that their new PGI Beta release supports OpenACC directive-based accelerator programming for AMD APUs and discrete GPUs. One of PGI’s goals is to increase productivity and provide performance portability for applications developed and maintained by science and engineering domain experts,” said Douglas Miles, Director of The Portland Group. “The OpenACC […]
In this video from the 2013 GPU Technology Conference, Michael Wolfe from The Portland Group demos how OpenACC enables programmers to generate a single binary that runs on Nvidia GPUs and AMD Firepro accelerators.