PGI products support GPUs for HPC applications
Portland
PGI 10.4
Portland's line of PGI Accelerator compiler products support the latest NVIDIA graphics-processing units (GPUs), which are used to accelerate the performance of HPC applications.
The NVIDIA Tesla 20-series supports many new features for the HPC space, as well as supporting version 3.0 of the NVIDIA Cuda toolkit.
NVIDIA Cuda-enabled GPUs are used to accelerate the performance of appropriate HPC applications beyond what is possible with the latest multi-core x64 host CPUs from Intel and AMD.
The latest version of PGI Accelerator compilers provide full support for Cuda Fortran on the latest NVIDIA GPU platforms and add support for allocatable device arrays within Fortran modules, along with several API enhancements.
Cuda Fortran, co-defined by NVIDIA and Portland, is an extended version of the Fortran 2003 programming language that gives software developers direct control over all aspects of GPU programming.
The PGI 10.4 release also enhances support for the PGI Accelerator directives-based programming model on Fermi platforms.
The PGI Accelerator directives make GPU-software development easily approachable by application domain experts.
Rather than porting and parallelising entire programs or functions for the GPU, the PGI Accelerator directives allow incremental porting and parallelisation of individual compute-intensive loops and code segments using standard-compliant and portable Fortran or C.
The PGI 10.4 release adds several features, including PGI Unified Binary technology to build one version of an application that will run on any Cuda-enabled GPU.
With PGI 10.4 compilers, programmers can automatically generate code that works and is optimised for a Tesla C1060 GPU or the new Tesla C2050 GPU.
In addition, they can take advantage of new GPU features, including faster double-precision arithmetic, larger and configurable fast shared memory and increased number of cores.
Support for new NVIDIA GPU platforms in PGI 10.4 extends across Linux, Windows and MacOS, and within Microsoft Visual Studio via PGI Visual Fortran.
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