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- The new PGI Compiler 15.10 release supports running C++ and Fortran applications in parallel on multi-core CPUs or GPU accelerators using OpenACC
- OpenACC allows scientists and researchers to incrementally accelerate scientific computing applications, enabling performance portability between accelerators and multicore CPUs
- Douglas Miles, director of PGI Compilers & Tools at NVIDIA, stated that the goal is to enable HPC developers to port applications across major CPU and accelerator platforms with high performance using a common source code base
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New PGI compiler release includes support for C++ and Fortran applications to run in parallel on multi-core CPUs or GPU accelerators. OpenACC gives scientists and researchers a simple and powerful way to accelerate scientific computing applications incrementally.
With the PGI Compiler 15.10 release, OpenACC enables performance portability between accelerators and multicore CPUs. The new PGI Fortran, C and C++ compilers for the first time allow OpenACC-enabled source code to be compiled for parallel execution on either a multicore CPU or a GPU accelerator. This capability provides tremendous flexibility for programmers, enabling applications to take advantage of multiple system architectures with a single version of the source code.
👁 OpenACC portable performance
“Our goal is to enable HPC developers to easily port applications across all major CPU and accelerator platforms with uniformly high performance using a common source code base,” said Douglas Miles, director of PGI Compilers & Tools at NVIDIA.
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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.