PGI Visual Fortran v7.16 X64
- نسخه :Version 7.16
- نوع فایل : نرم افزار
- زبان : انگلیسی
- سیستم عامل : Windows 64Bit
- تولید کننده : PGI
- سال تولید : 2008
Description
PGI Visual Fortran« (PVF«) fully integrates the PGI suite of
high-performance 64-bit and 32-bit parallel Fortran
compilers and tools from The Portland Group into Microsoft*
Windows* via Microsoft Visual Studio* 2005.
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 and 32-bit x86 processor-based systems.
PGI Fortran compilers offer world-class performance and
features including auto-parallelization, support for
multi-core processors, OpenMP 2.5, and the the PGI Unified
BinaryÖ, The PGI Unified Binary streamlines cross-platform
support by combining into a single executable file code
optimized for both x64 processor families. State-of-the-art
compiler technologies found in PVF include vectorization,
parallelization, interprocedural analysis, memory heirarchy
optimization, function inlining (including library
functions), CPU-specific optimizations and more.
high-performance 64-bit and 32-bit parallel Fortran
compilers and tools from The Portland Group into Microsoft*
Windows* via Microsoft Visual Studio* 2005.
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 and 32-bit x86 processor-based systems.
PGI Fortran compilers offer world-class performance and
features including auto-parallelization, support for
multi-core processors, OpenMP 2.5, and the the PGI Unified
BinaryÖ, The PGI Unified Binary streamlines cross-platform
support by combining into a single executable file code
optimized for both x64 processor families. State-of-the-art
compiler technologies found in PVF include vectorization,
parallelization, interprocedural analysis, memory heirarchy
optimization, function inlining (including library
functions), CPU-specific optimizations and more.
