The latest release in the PGI line of high-performance parallelising compilers and development tools for Linux, OS X and Windows has been announced by The Portland Group
The Portland Group is due to ship a performance-optimised PGI Cuda C/C++ compiler for multi-core x86 platforms (Cuda-x86) with its PGI 2012 release this month
The Portland Group is now shipping the PGI Cuda C and C++ compilers for systems based on the industry standard general-purpose 64-bit and 32-bit x86 architectures.
The Portland Group has released PGI Visual Fortran (PVF) for Visual Studio 2010, integrating high-performance parallel Fortran compilers and tools with Microsoft Visual Studio
The Portland Group has added support for the latest Nvidia GPUs to its entire line of PGI Accelerator compiler products, including its new PGI 10.4 release
The Portland Group has made available its Cuda Fortran compiler for x64 and x86 processor-based systems running Linux, Mac OS X and Windows
The Portland Group has released PGI 2010, the latest release of its high-performance parallelising compilers and development tools for Linux, Mac OS X and Windows
The Portland Group has introduced PGI Visual Fortran (PVF) 9.0 for Windows workstations, servers and clusters, which supports the building, launching and debugging of Microsoft MPI Fortran applications from within Microsoft Visual Studio
The Portland Group (PGI) has unveiled PGI Release 9.0, its suite of high performance parallelising compilers and development tools for Linux, Mac OSX and Windows
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
