A new announcement from NVidia should appeal to all of you old-time Fortran programmers. NVidia has worked with PGI (The Portland Group) to release a beta of a Fortran compiler with CUDA acceleration built-in.
GPU computing with the CUDA C-compiler has gained significant momentum in the High-Performance Computing (HPC) space as it enables developers to get transformative increases in performance with minimal coding required. Fortran is particularly well suited to numeric computation and scientific computing and remains widely used in a wide range of applications such as weather modeling, computational fluid dynamics and seismic processing.
You’ll need to install the CUDA SDK, but the Fortran Compiler is free for all (for now, while it’s in beta). Read the full release after the break for details and links.
CUDA Fortran Compiler Beta Release Now Available
PGI CUDA Fortran Compiler enables programmers to write code in Fortran for NVIDIA CUDA GPUs
What: NVIDIA today announced that a public beta release of the PGI® CUDA-enabled Fortran compiler is now available. Developed in collaboration with The Portland Group® , it is the first Fortran compiler compatible with NVIDIA® CUDA™ -enabled graphics processing units (GPUs).
A compiler is a software tool that translates applications from the high-level programming languages used by software developers into a binary form a computer can execute.
Why: GPU computing with the CUDA C-compiler has gained significant momentum in the High-Performance Computing (HPC) space as it enables developers to get transformative increases in performance with minimal coding required.
Fortran is particularly well suited to numeric computation and scientific computing and remains widely used in a wide range of applications such as weather modeling, computational fluid dynamics and seismic processing.
Where can I get it?: Developers are invited to download the beta CUDA Fortran compiler for Linux, Windows and Mac OS from The Portland Group website at www.pgroup.com/support/downloads.php. The PGI CUDA Fortran compiler requires the CUDA Software Developers Kit (SDK) which is available from CUDA Zone at www.nvidia.com/cuda.
GPU Computing Forums for news, discussion and programming tips are also available at forums.nvidia.com and www.pgroup.com/userforum.
PGI compilers are recognized in the HPC community for delivering world-class performance across a wide spectrum of applications and benchmarks. For more information on the CUDA Fortran compiler please visit: www.pgroup.com/cudafortran
CUDA Fortran Compiler Beta Release Now Available
PGI CUDA Fortran Compiler enables programmers to write code in Fortran for NVIDIA CUDA GPUs
What: NVIDIA today announced that a public beta release of the PGI® CUDA-enabled Fortran compiler is now available. Developed in collaboration with The Portland Group® , it is the first Fortran compiler compatible with NVIDIA® CUDA™ -enabled graphics processing units (GPUs).
A compiler is a software tool that translates applications from the high-level programming languages used by software developers into a binary form a computer can execute.
Why: GPU computing with the CUDA C-compiler has gained significant momentum in the High-Performance Computing (HPC) space as it enables developers to get transformative increases in performance with minimal coding required.
Fortran is particularly well suited to numeric computation and scientific computing and remains widely used in a wide range of applications such as weather modeling, computational fluid dynamics and seismic processing.
Where can I get it?: Developers are invited to download the beta CUDA Fortran compiler for Linux, Windows and Mac OS from The Portland Group website at www.pgroup.com/support/downloads.php. The PGI CUDA Fortran compiler requires the CUDA Software Developers Kit (SDK) which is available from CUDA Zone at www.nvidia.com/cuda.
GPU Computing Forums for news, discussion and programming tips are also available at forums.nvidia.com and www.pgroup.com/userforum.
PGI compilers are recognized in the HPC community for delivering world-class performance across a wide spectrum of applications and benchmarks. For more information on the CUDA Fortran compiler please visit: www.pgroup.com/cudafortran
