PVF features the latest version of PGI's native OpenMP and auto-parallel Fortran compilers. PGI compilers are supported on, and can generate fully optimized code for, a broad range of popular high-performance computing platforms including 64-bit x64 multi-core processor-based systems as well as 32-bit x86 systems.
PGI Fortran compilers offer world-class performance and features including both automatic and OpenMP 3.0 parallelization support for optimizing performance on multi-core processors. Advanced compiler technologies found in PVF include vectorization, parallelization, interprocedural analysis, memory hierarchy optimization, cross file function inlining, CPU-specific optimization and more. PVF includes full support for 64-bit addressing, native integrated scalar, and vector SSE code generation—including the latest Intel and AMD AVX extensions.
In addition to its comprehensive support for multi-core processors, PGI Visual Fortran includes PGI's two models for programming GPU accelerators. The PGI Accelerator™ programming model is a high-level implicit model similar to OpenMP for multi-core x64 systems. PGI Accelerator Fortran enables the incremental offloading of compute-intensive loops and code regions from a host CPU to a GPU accelerator using simple compiler directives. PGI Accelerator directives are treated as Fortran comments by other Fortran compilers, so programs incorporating them remain 100% standard-compliant and portable. Developed in cooperation with NVIDIA, CUDA Fortran is an analog to the NVIDIA CUDA C compiler. CUDA Fortran gives expert programmers direct control of all aspects of GPU accelerator programming.













