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Accelerating HPC Applications on NVIDIA GPUs with OpenACC

In this video from the Stanford HPC Conference, Doug Miles from NVIDIA presents: Accelerating HPC Applications on NVIDIA GPUs with OpenACC." "OpenACC is a directive-based parallel programming model for GPU accelerated and heterogeneous parallel HPC systems. It offers higher programmer productivity compared to use of explicit models like CUDA and OpenCL. Application source code instrumented with OpenACC directives remains portable to any system with a standard Fortran/C/C++ compiler, and can be efficiently parallelized for various types of HPC systems – multicore CPUs, heterogeneous CPU+GPU, and manycore processors. This talk will include an introduction to the OpenACC programming model, provide examples of its use in a number of production applications, explain how OpenACC and CUDA Unified Memory working together can dramatically simplify GPU programming, and close with a few thoughts on OpenACC future directions." Learn more: https://www.openacc.org/ and http://hpcadvisorycouncil.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter