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standards such as the OpenACC programming interface, and PGI continues to support the CUDA Fortran and CUDA x86 parallel programming platforms. With this purchase, NVidia arms with some serious HPC

considered "non-portable." One promising solution is the use of OpenACC comment directives [4] in existing Fortran and C/C++ code. The code still remains portable and can be compiled to run on a standard CPU

is often considered “non-portable.” One promising solution to this problem is the use of OpenACC comment directives in existing Fortran and C/C++ code. Code still remains portable and can be compiled to run ... HPC, parallel processing, GPU, multicore, OpenMP, MPI, many core, OpenACC, CUDA, MICs, GP-GPU

cores nowadays. Perhaps more importantly, the concept of directives is growing rapidly. For example, an initiative called OpenACC is developing a set of directives that tell compilers how to create code

-GPU requires re-writing code to use the GPU cores. Some new methods (OpenACC) could help with this issue, but the traditional MPI model is being stressed by the new hardware. Similar to the early days of Beowulf

OpenACC lets scientific and technical programmers more easily take advantage of the power of heterogeneous CPU/GPU computing systems. OpenACC allows programmers to provide simple hints, known ... NVidia, Cray Inc., the Portland Group (PGI), and CAPS enterprise have partnered to develop a new parallel programming standard known as OpenACC. ... OpenACC Announced